21 machine learning startups to keep on your radar (2025)

21 machine learning startups to keep on your radar (2025)

21 machine learning startups to keep on your radar (2025)

February 13, 2025

Ground-breaking machine learning startups revolutionizing the tech industry

Machine learning has quickly gone from a promising technology to a core component powering innovation across nearly every industry. As the technology continues maturing, a thriving ecosystem of machine learning startups aims to push machine learning even further. This rapid growth has created a strong demand for companies to hire machine learning engineers to drive their AI initiatives forward.

Top machine learning startups

Complete list of the most ground breaking machine learning  startups that are worth knowing:

Flock Safety

Founded in 2017, Flock Safety makes smart camera technology that helps neighborhood communities and police identify suspicious vehicles. Their cameras can recognize car makes, models, and license plates using built-in artificial intelligence.

When a stolen car or known offender’s vehicle drives into view of a Flock Safety camera, it sends real-time alerts to residents and law enforcement. The cameras capture evidence like photos and footage securely so police have leads to help catch car thieves or intervene in a crime in progress.

UNISOC

Founded in 2018, UNISOC leverages big data and AI to optimize semiconductor design and manufacturing. Their automated systems enable rapid development of customized chips.

Key capabilities include intelligent modelling, simulation, and testing. UNISOC aims to compress the chip production process through data-driven automation.

MedPay

Founded in 2018, MedPay streamlines claim submissions and settlements between providers and insurers. Their intelligent systems automate verification and processing. Key capabilities include real-time adjudication, fraud detection, and reconciliation.

MedPay aims to bring speed and transparency to healthcare payments. For providers struggling with insurance claim headaches, MedPay brings relief. Their platform delivers faster reimbursement and cash flow. Given MedPay’s wide adoption across India, it clearly fills a major need.

Teikametrics

Founded in 2014, Teikametrics offers optimization tools tailored to ecommerce sellers on platforms like Amazon and Walmart. Their AI-powered flywheel continually tests and improves listings.

Key capabilities include repricing, restock alerts, and performance analytics. Teikametrics aims to maximize seller profits and efficiency.

BHyve

Founded in 2019, BHyve facilitates knowledge sharing and transfers between workers. Employees build a skills profile on the platform. BHyve’s algorithms then suggest optimal pairings for learning.

Workers connect in modes like coaching sessions or coffee chats to exchange institutional know-how. BHyve aims to retain critical expertise and enable internal development.

Quantexa

Founded in 2016, Quantexa’s software ingests internal and external data from across the enterprise. Advanced analytics and modeling unlock hidden insights and patterns.

Key applications include risk scoring, process optimization, and predictive analytics. Quantexa aims to drive data-informed strategic decision making. For organizations struggling to connect data silos, Quantexa brings clarity. Their platform transforms fragmented data into actionable intelligence.

Aidoc

Founded in 2016, Aidoc’s AI platform flags abnormalities on scans like CTs, X-rays, and ultrasounds. The tool screens for conditions like strokes, fractures, and pulmonary embolisms.

Aidoc aims to improve detection rates and accelerate triage times. Their technology serves as a diagnostic aid for radiologists.

Lookiero

Founded in 2016, Lookiero asks subscribers to fill out a style survey upon signup. Algorithms then generate outfit recommendations tailored to each user. Customers keep what they like and return the rest.

The service aims to deliver effortless, customized fashion discoveries. Lookiero’s data-driven curation removes the friction of shopping.

Algolux

Founded in 2015, Algolux develops computer vision software for autonomous driving. Their algorithms accurately interpret visual data from cameras and LiDARs. This allows real-time navigation and hazard detection.

Key applications include lane recognition, 3D mapping, and low light imaging. Algolux aims to provide robust navigation intelligence for self-driving vehicles. For any company developing autonomous platforms, Algolux unlocks safe and scalable vision.

Circly

Founded in 2019, Circly ingests historical sales data, market trends, and other signals to generate demand predictions. Their AI models account for fluctuations like seasonality, promotions, and competitions.

Key applications include inventory and assortment planning, supply chain optimization, and workforce management. Circly aims to improve retailers’ forecasting accuracy and agility.

SuperAnnotate

Founded in 2019, SuperAnnotate offers data labeling and annotation capabilities tailored to computer vision needs. Their platform automates parts of the labeling process to boost efficiency.

Key applications include image segmentation, object detection, and image classification. SuperAnnotate aims to speed up the development of visual AI systems.

Yodawy

Founded in 2017, Yodawy connects pharmacies with patients for home delivery of medications. Their automated systems verify prescriptions and insurance eligibility in seconds.

Patients get faster access to medications through an easy online pharmacy marketplace. For pharmacies, Yodawy provides the technology to enable e-prescriptions and e-commerce.

Tractable

Founded in 2014, Tractable developed computer vision technology for the auto insurance industry. Their algorithms review images of vehicle damage to rapidly assess required repairs.

This allows insurers to estimate costs and process claims faster. Tractable aims to bring speed and consistency to accident recovery.

AB Tasty

Founded in 2012, AB Tasty provides tools to help companies continuously improve conversion rates. Their platform enables A/B testing, algorithmic personalization, and product experience targeting.

Key capabilities include campaign authoring, customer segmentation, and results analysis. AB Tasty aims to help brands maximize revenue through data-informed optimizations.

Pyramid

Founded in 2008, Pyramid’s platform combines data prep, business analytics, and machine learning. This enables faster and more collaborative data-driven decision making.

Key features include governed self-service analytics, AI-powered insights, and natural language querying. Pyramid aims to remove silos and complexity from the analysis process.

Hopsworks

Founded in 2018, Hopsworks provides tools to build, train, deploy and monitor ML models in one system. Their platform enables data scientists to collaborate and track experiments.

Key capabilities include feature engineering, model deployment, and MLOps monitoring. Hopsworks aims to accelerate end-to-end development of production ML applications.

Clarity AI

Founded in 2019, Clarity AI provides analytics and insights to evaluate companies on ESG (environmental, social, governance) factors. Their platform empowers investment due diligence across impact dimensions.

Key capabilities include risk assessment, portfolio screening, and impact attribution reporting. Clarity AI aims to bring rigor to values-aligned investing strategies.

PhotoRoom

Launched in 2019, PhotoRoom leverages computer vision to instantly remove photo backgrounds. Users snap a picture of a product, and the app extracts and isolates the subject.

The technology also applies enhancements like color correction and lighting filters. PhotoRoom aims to make professional image creation fast and easy.

Rossum

Founded in 2017, Rossum integrates with company systems to ingest documents from any source. Advanced OCR and NLP techniques extract and structure information.

This data can flow directly into workflows like order processing and payments. Rossum aims to remove manual document handling.

BMLL

Founded in 2014, BMLL offers granular historical market data on equities, options, futures, and forex. Their platform delivers hard-to-find tick-level datasets for backtesting and modeling.

Key offerings include historical data feeds, pricing analytics, and derived data products. BMLL aims to serve any need for high-quality financial markets data.

RideVision

Founded in 2018, RideVision uses AI and cameras to detect hazards around a motorcycle. The technology alerts riders to possible collisions and triggers emergency braking if needed.

Key features include blind spot warnings, imminent collision alerts, and fall detection. RideVision aims to give riders an extra layer of protection on the road.

Conclusion

By intelligently balancing progressive technology with user-centric priority, these machine learning startups represent the future of machine learning and its quest to permeate nearly all aspects of life and work.

Discover more creative startups that might interest you:

 

  • Blooming drone startups that are revolutionizing almost every industry,
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Top 21 regtech startups to have on your radar in 2025

Top 21 regtech startups to have on your radar in 2025

Top 21 regtech startups to have on your radar in 2025

February 13, 2025

Top regtech startups with powerful tech tools
RegTech solutions are becoming an appealing option for organizations seeking to simplify compliance. Many RegTech startups are building advanced software leveraging artificial intelligence, machine learning, and big data analytics to dynamically track regulatory changes, interpret requirements, complete filings, and monitor transactions.

 

Top regtech startups

Complete list of regtech startups startups that are worth knowing:

SumSub

Founded in 2015, SumSub provides online services to help companies confirm the real identities of users during transactions. Their tools prevent identity fraud while making sure companies stay compliant with regulations. Verifying identities online creates massive risks for false accounts and money laundering.

SumSub offers user-friendly software to handle identity checks when authorizing digital payments, account access, and other sensitive activities. Advanced machine learning instantly analyzes government IDs, biometrics, and documents to spot fake credentials. Custom filters recognize high-risk data patterns to flag suspicious users. Ongoing monitoring also detects credential changes over time.

Transmit Security

Founded in 2014, Transmit Security developed a cloud-based platform that uses techniques like facial and behavioral biometrics to authenticate users seamlessly without passwords or OTPs. Companies can secure accounts and workflows using adaptive MFA.

By streamlining complex identity management, Transmit Security drives adoption of enhanced security while delivering smooth user experiences devoid of password hassles. Their solutions balance robust protection with convenience.

Advance

Founded in 2021, Advance developed identity verification, credit risk analysis, and fraud detection tools harnessing automation and deep learning to evaluate individuals and entities almost instantly. Clients customize rules engines to their needs.

By equipping businesses with predictive analytics, Advance enables confident real-time decisions to safely onboard customers and avoid fraud. The algorithms crunch massive datasets to surface patterns and insights predictive of risk.

Tongdun

Founded in 2013, Tongdun developed a risk management platform combining machine learning, cybersecurity, and big data analytics tailored to combat constantly evolving fraud schemes and techniques.

Customers integrate Tongdun’s decision engine with payments systems to analyze transactions and user data for malicious indicators in real time. The AI recognizes patterns and complex relationships invisible to humans.

Behavox

Founded in 2014, Behavox applies natural language processing and machine learning to analyze communications data within organizations. Custom rules and analytics uncover critical patterns and insights.

By centralizing this data for continuous evaluation, Behavox aims to keep companies on top of potential issues around conduct, risk, and performance. Their technology delivers visibility once obscured in siloed systems.

CyberGRX

Founded in 2016, CyberGRX built a dynamic risk management platform centralizing vendor assessments, data exchange, analytics, and integrated workflows powered by shared data. Customers gain control over cyber risk.

By making risk management collaborative and intelligence-driven, CyberGRX arms enterprises to evolve data security from vendors to end users and everywhere between. Their technology provides unified solutions for the depth and scale of modern cyber exposure.

EXIGER

Founded in 2012, EXIGER developed AI-powered software automating compliance processes to reduce costs and complexity for legal, compliance, audit, and risk teams. The technology handles data collection, document scanning, model building, and analytics.

By optimizing fragmented compliance workflows, EXIGER aims to deliver end-to-end digital compliance transformation. Teams save time on grunt work to focus on higher-value oversight initiatives. EXIGER makes effective risk mitigation scalable.

TRM

Founded in 2018, TRM provides customized tools covering ID verification, transaction monitoring, fraud screening, audit trails, investor accreditation checks, and reporting automation needed to scale crypto business responsibly.

By streamlining fragmented compliance functions, TRM enables innovators to build within the emerging crypto economy with proper controls. Their platform integrates compliance to free focus for core product growth.

PeerNova

Founded in 2013, PeerNova developed blockchain-based platforms automating compliance processes including custody relationships, trade events, investment restrictions, and regulatory reporting.

By optimizing fragmented compliance workflows, PeerNova aims to deliver the next generation of efficient regulatory technology infrastructure tailored for capital markets. Their solutions upgrade rigid legacy systems.

Spring Labs

Founded in 2017, Spring Labs developed a decentralized network allowing entities to gain insights across data sets without exposing sensitive customer information using advanced cryptography and blockchain-based data governance.

Participants receive valuable model results trained across broader data for more accurate underwriting and fraud detection without compromising security or control. Spring Labs unlocks collaboration potential within highly regulated industries like banking, investing, and healthcare.

DataVisor

Founded in 2013, DataVisor developed an unsupervised machine learning platform processing vast amounts of unstructured data to model normal and abnormal behavior and interactions across users, accounts, networks, and transactions.

By enabling predictive threat intelligence, DataVisor helps organizations mitigate risk and loss through intelligent decision-making, automation, and adaptive controls targeting financial crime. Their AI solutions uncover and neutralize sophisticated threats.

Eventus

Founded in 2013, Eventus developed a cloud platform performing real-time and T+1 analysis of trading activity across equities, futures, foreign exchange, and other instruments. Adaptive machine learning discovers anomalies and risky behaviors.

By enabling comprehensive trade monitoring, Eventus aims to help financial institutions manage risk, ensure just markets, and meet regulatory obligations. Their technology automates detection across all electronic trading activity.

Synctera

Launched in 2020, Synctera’s network model matches banks and vetted fintechs to develop digital offerings combining fintech innovation with a bank sponsor’s regulatory licenses and infrastructure.

By enabling joint solution creation, Synctera opens access to financial services innovation and scale to the benefit of consumers and businesses. Their community powers the fintech capabilities and reach to make banking more competitive and accessible.

Solidus Labs

Founded in 2017, Solidus built an intelligent analytics platform combining natural language processing with crypto market data to uncover insider trading, pump and dumps, spoofing, and other malignant behaviors across centralized and decentralized exchanges.

By illuminating abuse, Solidus helps restore confidence and fairness vital to stable crypto market growth. Their solutions empower proactive monitoring and enforcement not previously possible in an opaque domain.

Ravelin Technology

Founded in 2016, Ravelin developed a cloud-based platform analyzing behavior patterns and relationships within transaction data to identify malicious activity with greater accuracy while minimizing false positives.

The adaptive machine learning models detect increasingly sophisticated fraud techniques that evade traditional rule-based systems dependent on historical attack patterns. Ravelin delivers fraud intelligence evolved for modern threats.

Corlytics

Founded in 2013, Corlytics developed AI-powered SaaS monitoring regulatory developments across jurisdictions and assessing new requirements against business activities to determine applicability and action steps for compliance teams.

By proactively identifying impacts, Corlytics enables compliance resources to focus on the most pertinent risks and avoid wasted efforts addressing irrelevant regulations. Their platform optimizes focus for what matters most.

Sardine

Founded in 2020, Sardine developed an intelligent platform combining computer vision, machine learning, and data integration to combat increasingly sophisticated identity fraud and accelerate revenue through compliant, low-friction customer onboarding.

By automating identity proofing and risk analysis, Sardine empowers banks, lenders, and payments companies to onboard good customers faster while accurately stopping only the small portion of truly high-risk applicants. Their technology maximizes opportunity within guardrails.

Qumata

Founded in 2020, Qumata applies advanced analytics and machine learning to vast data sets of medical research, actuarial statistics, and internal claims to build predictive models identifying key determinants of mortality, longevity, and healthcare outcomes.

Powered by data-driven insights, insurers enhance risk assessment, pricing, product design, and underwriting. Qumata’s intelligence platform empowers insurers to quantify risk with greater precision and speed. Their innovations unlock the future of risk evaluation.

Tookitaki

Tookitaki was founded in 2018 to bring the latest AI technology to compliance teams. Their software analyzes transactions and customer behavior to pinpoint risks. Advanced analytics provide insights not visible to humans.

Tookitaki’s solutions automate workflows for AML and fraud prevention. Suspicious activity is flagged for review. Analysts have access to visualizations and risk scoring to streamline investigations. Ongoing machine learning improves detection over time.

SteelEye

SteelEye was founded in 2017 to help financial companies navigate complex regulations. Their platform integrates real-time data analysis and reporting tools. It captures trade details and communications for compliance needs. Users also get access to regulatory insights and updates.

Key features include trade reconstruction, record keeping, and transaction reporting. SteelEye’s solutions are designed to automate compliance processes. This reduces operational risks and improves efficiency. Their system works across asset classes and jurisdictions.

Solidatus

Solidatus was founded in 2017 to solve data challenges for large organizations. Their centralized platform integrates siloed data sources. It catalogues, links, and visualizes data relationships. Users get a holistic view of complex enterprise data.

Key features include data lineage mapping, governance frameworks, and AI-powered discovery. Role-based controls enable secure collaboration. Intuitive visuals provide insights into quality, compliance, and analytics-readiness.

Conclusion

Regulatory technology startups have rapidly emerged in recent years to help companies more efficiently comply with regulations using innovative technologies. By automating compliance and providing actionable data, these RegTech disruptors allow organizations to focus less on box-ticking and more on core business growth.

Discover more creative startups that might interest you:

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How SEO conferences can boost your strategy

How SEO conferences can boost your strategy

How SEO conferences can boost your strategy

February 12, 2025

SEO conferences can boost your strategy

The best SEO tips often get shared in conference halls, not blog posts. While everyone else relies on outdated YouTube tutorials, SEO conference attendees learn directly from experts who test and prove what works in search marketing. These events pack real value,  from insider tips about upcoming changes to hands-on workshops where you can actually fix your site’s issues. Before you spend your budget on another virtual course, check out which SEO conferences could give you that competitive edge you’re looking for.

What are SEO conferences?

SEO conferences bring together search marketing pros, content creators, and digital marketers who want to stay ahead of the game. Think of them as massive learning sessions where you get to hear from people who actually test and prove what works in SEO. From big-stage talks to small group workshops, these events pack in everything from basic keyword tricks to advanced technical stuff that can boost your rankings.

You’ll find these conferences happening in major cities like New York, where hundreds of marketers come together to share what’s working, what’s not, and what’s coming next in search. Whether you’re trying to figure out how to promote events better or just want to meet other people doing the same work, these conferences give you real strategies you can use right away.

Why attend SEO conferences?

SEO conferences pack more value than months of reading blog posts and watching tutorials. You get to hear about what’s actually working in SEO straight from leading SEO strategists who test different approaches across hundreds of websites.

Beyond just learning new tactics, these events give you a chance to meet others who face the same challenges you do, from tricky technical issues to keeping up with Google’s endless updates. Whether you’re looking to boost your website’s rankings or stay ahead of industry shifts, the right conference can fast-track your SEO knowledge and give you tools you can use right away.

Stay updated with industry trends

Think your SEO game is strong? Google’s constant updates might tell a different story. Top industry data reveals that 91% of pages get zero organic traffic from Google, often because they’re using outdated SEO tactics. That’s where SEO conferences come in – not just to throw more tips and tricks at you, but to show you what’s actually working right now in the real world.

These events cut through the noise of endless “SEO guru” videos and forum debates. Instead of theory, you get hard data and proven strategies from people who manage major websites and big budgets. Mobile SEO isn’t just another topic on the agenda – speakers show you exactly how voice search and mobile-first indexing are changing the game. Meta tags and technical SEO? You’ll learn why some sites nail their click-through rates while others struggle to get noticed.

Between sessions, you’re building connections with people who’ve already solved the problems you’re facing. No generic advice here – just real talks about what works, what fails, and what’s coming next in search marketing.

Network with industry experts

Networking with industry experts is one of the most valuable aspects of attending SEO conferences.

These events bring together a diverse group of professionals, including event organizers, digital marketers, and SEO specialists, thereby creating opportunities for meaningful connections that can lead to collaborations and partnerships. Engaging with these experts allows attendees to share experiences, pose inquiries, and gain insights that are not readily available through online resources.

The emphasis on building relationships, rather than merely exchanging business cards, is crucial; every interaction has the potential to catalyze innovative projects or mentorship opportunities.

  • Active Participation: Attendees should engage in panel discussions and workshops to showcase their knowledge and pique the interest of others.
  • Follow-Up: After the event, it is advisable to reach out via LinkedIn or email to reinforce connections made during the conference.
  • Engagement on Social Media: Utilizing event hashtags can facilitate connections with speakers and attendees before, during, and after the conference.

These strategies not only enhance individual knowledge but also contribute to a more cohesive and innovative SEO community.

Learn new strategies and techniques

Ask any successful SEO pro where they learned their best tricks, and they’ll likely point to a conference room rather than a blog post. These events skip the basic “content is king” talks and dive into what’s moving rankings in 2024. Industry leaders share real case studies – showing exactly how they turned keyword research into traffic wins and why some “perfect” landing pages still fail to convert.

The real gold happens in the workshop sessions. Instead of just nodding along to presentations, you’re rolling up your sleeves with other pros who face the same challenges. One person shares how they fixed their site’s technical issues, another shows their content planning process that doubled organic traffic. You’re not just learning theory – you’re seeing real examples of what works, what flops, and why.

The connections you make over coffee breaks often turn into your go-to network for bouncing ideas around long after the conference ends. When Google drops another update bomb or you’re stuck on a tricky optimization problem, you’ve got real people to turn to, not just generic advice from marketing blogs.

Gain insights on the latest tools and technologies

The difference between average and exceptional SEO often comes down to how you use your tools. At SEO conferences, top performers lift the curtain on their actual processes, showing you exactly how they make different tools work together. Instead of basic features everyone knows about, you learn the creative ways pros combine tools to uncover hidden opportunities and solve complex SEO challenges. From turning technical audits into action plans to finding untapped keyword goldmines, these sessions show you how to get more value from tools you probably already have.

Get inspiration and motivation

SEO conferences provide valuable inspiration and motivation for professionals within the field.

Attending these events enables participants to gain insights from success stories, innovative ideas, and motivational presentations delivered by industry leaders, which can reinvigorate their enthusiasm for SEO and digital marketing. The collective energy and enthusiasm present at these conferences can energize attendees, encouraging them to push their limits and explore new avenues in their work.

This dynamic atmosphere fosters a spirit of collaboration where attendees can learn from one another’s experiences, establish connections, and share insights that may lead to breakthrough strategies.

Keynote speakers, often recognized figures in the SEO industry, share their experiences of overcoming challenges, serving as powerful reminders that obstacles can be transformed into opportunities. Furthermore, workshops focused on practical applications of advanced SEO techniques give the power to participants to implement these strategies immediately.

Additionally, informal networking sessions provide opportunities for exchanging ideas with peers, thereby enhancing the sense of community. This engagement not only expands professional networks but also cultivates lasting support systems that continue to motivate attendees long after the event has concluded.

How to choose the right SEO conference?

The ticket price is just part of what you’ll invest in an SEO conference – you’re also spending valuable time away from work. Do your homework first: check speaker credentials, read past attendee feedback, and make sure the topics match what you need to learn. Good conferences fill up fast with people who want to learn actual strategies, not just collect swag bags.

Research the speakers and topics

Researching the speakers and topics of an SEO conference is an essential step in maximizing the value derived from the experience. One should seek out speakers with demonstrated expertise in SEO, email marketing, digital marketing, and content strategies, as well as topics that align with professional challenges and interests.

Engaging with knowledgeable speakers and pertinent subjects can significantly enhance both learning and networking opportunities. To conduct effective research, it is advisable to consider the speakers’ backgrounds, including their previous work experiences, published articles, and recognized contributions to the SEO field. Understanding their areas of specialization will assist in assessing how their insights may address specific needs. Reviewing past presentations, such as recorded sessions or audience feedback, can provide valuable information regarding their speaking styles and the depth of their understanding of current industry trends.

Identifying key topics that are timely and relevant to ongoing challenges within SEO ensures that the knowledge acquired is applicable and beneficial. Relevant subjects may include:

  • Email marketing
  • Algorithm updates
  • Content optimization techniques
  • Search intent analysis
  • Algorithm updates
  • Content optimization techniques
  • Search intent analysis

    Before the conference, it is prudent to prepare insightful questions that relate to the speakers’ expertise. Engaging with them during networking events or Q&A sessions can foster meaningful connections and enhance community building.

    By taking these steps, the experience can extend beyond mere attendance, leading to enriching discussions that may inspire ideas and potential collaborations.

    Consider the location and logistics

    Considering the location and logistics of an SEO conference is vital for ensuring a smooth and enjoyable experience. It is important to seek out events that are easily accessible, whether they are held in major cities such as New York City or conducted through virtual platforms. Attention should also be given to the venue’s amenities, accommodations, and any associated costs that may impact the overall experience at the conference, such as travel costs.

    When planning to attend such gatherings, it is advisable to evaluate specific logistical factors that can significantly influence the overall experience. For instance, transportation options to and from the venue are critical, as attendees should assess whether public transit, rideshare services, or personal vehicles are the most suitable choices.

    Factors such as the availability of quality accommodations, the proximity of lodging to the conference venue, and the amenities provided by the hotel can greatly enhance comfort and convenience during the event.

    Additionally, individuals should carefully consider the advantages and disadvantages of attending in person versus opting for the flexibility of virtual participation. Personal circumstances, including travel costs, time away from work, and health considerations, can heavily influence this decision. Therefore, conducting thorough research on the event and its surrounding logistics is essential for achieving a more fulfilling conference experience, which is particularly important for optimizing event visibility.

    Check the reviews and feedback

    Examining reviews and feedback from previous attendees, such as those on event listing websites, can offer valuable insights when selecting an SEO conference. Assessing what past participants appreciated or found lacking about the event can significantly influence your expectations and decision-making process. It is advisable to seek comments regarding speaker quality, session relevance, networking opportunities, and the overall organization of the conference.

    By thoroughly reviewing conference feedback, prospective attendees can identify trends and commonalities that may not be readily apparent from promotional materials. It is beneficial to consult a variety of sources, including:

    • Online reviews on platforms such as Eventbrite or Facebook
    • Testimonials shared on personal blogs
    • Discussions on popular forums and social media platforms

    Adopting a critical approach to this feedback is essential. Consider inquiries such as: What specific topics were emphasized? Were there any recurring complaints? Did any patterns emerge concerning the venue or logistical arrangements?

    Such questions not only enhance clarity but also assist in aligning your goals with the appropriate events that provide the desired learning and networking experiences, ultimately aiding in effective event planning and marketing.

    How to make the most out of an SEO conference?

    Don’t just show up at an SEO conference and wing it. The best attendees plan their attack, picking sessions that actually match their business needs instead of just chasing the biggest names in the room. Before you pack your laptop, check the speaker list and mark talks that could solve your current SEO headaches.

    Quick tips to make your conference time count:

    • Grab the conference app early and build your schedule – popular workshops fill up fast
    • Pack a backup battery and keep your favorite SEO tools like Ahrefs ready to test new tips on the spot
    • Skip a session or two to chat with speakers after their talks – that’s when they share the really good stuff
    • Trade real examples with other attendees instead of just swapping business cards
    • Actually use those notes you take – set reminders to try new strategies when you get back to work

    The magic of these events happens in the hallway conversations between sessions. Some of the best SEO insights come from trading war stories with people who tackle the same problems you do.

    Plan your schedule and prioritize sessions

    Planning your schedule and prioritizing sessions prior to attending an SEO conference is essential for maximizing your experience. Ensure you register on time and check the registration pages for any updates.

    To begin, it is advisable to create a personalized agenda that emphasizes your areas of interest and identifies sessions that will enhance your skill set. This tailored approach will help streamline your focus and promote a more productive conference experience. Additionally, utilizing conference applications can provide real-time updates regarding session changes, as well as valuable networking opportunities. These applications often include promotional content about key speakers and sponsors, adding further value to your attendance.

    It is important to strike a balance between attending keynote presentations, which often feature industry leaders sharing their insights, and participating in hands-on workshops that explore specific techniques in greater depth. Engaging with fellow attendees during breaks can also facilitate the development of lasting professional relationships.

    By integrating educational sessions with networking opportunities, you can expand your knowledge while cultivating connections that may prove beneficial for your career in the future. Consider attending events in major cities like New York City to maximize your networking opportunities.

    Take notes and ask questions

    Taking notes and asking questions during an SEO conference are fundamental practices for enhancing learning and engagement. By documenting key points and insights, attendees can reinforce their understanding of the material presented and create valuable references for future review. Inquiring during Q&A sessions or after presentations can deepen comprehension and clarify uncertainties, thereby contributing to a more enriching conference experience.

    Employing effective note-taking methods, such as outlines or bullet points, can streamline the process and facilitate easier information retrieval in the future. Attendees should consider utilizing digital tools or traditional notebooks based on their personal preferences. Formulating questions in advance or during presentations not only encourages active participation but also fosters a sense of community among participants.

    Engaging with speakers through questions can transform passive listening into dynamic learning. In complex discussions, seeking clarification can illuminate nuanced topics that may not be thoroughly addressed. Ultimately, by prioritizing these techniques, attendees can significantly enhance their conference experience, acquiring not only knowledge but also meaningful connections within the SEO community. Utilizing tools like Google Keyword Planner during sessions can also help attendees apply the practical SEO strategies discussed.

    Network with other attendees

    Meeting the right people at SEO conferences can be more valuable than the sessions themselves. Instead of just swapping business cards, focus on building real connections with people who share your challenges. Ask about their biggest SEO wins and headaches – you’ll be surprised how much you can learn from casual conversations between sessions. Quick tips that actually work:

    • Skip the sales pitch and share a recent SEO problem you solved
    • Connect with speakers after their talks – they’re usually happy to chat
    • Join smaller group discussions where everyone gets to speak
    • Follow up within 24 hours – mention something specific you discussed
    • Stay in touch through LinkedIn or industry Slack groups

    The best part? These connections often turn into go-to resources when you’re stuck on tricky SEO problems later.

    Conclusion

    Beyond the presentations and workshops, you’re joining a community of people who solve SEO puzzles every day. Instead of chasing algorithm updates, you’re learning to think like the experts who see them coming. In a field where everyone claims to have the answers, nothing beats learning from those who actually do.

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    Top 18 API startups that are taking over in 2025

    Top 18 API startups that are taking over in 2025

    Top 18 API startups that are taking over in 2025

    February 12, 2025

    These innovative API startups are the future of software

    API market size is projected to grow from $5.42 billion in 2024 to $34.17 billion by 2032, which leads us to believe that API’s purpose is no longer just technical tools but essential business assets. Developers got tired of building the same functions over and over, while business owners realized they were wasting time and money on custom solutions that already existed.

    Take esign API integration for example, why spend months building a document signing system when you can plug in a ready-made solution? Well, this is where API startup jumped on this opportunity, creating plug-and-play tools that work right out of the box. 

    What are API startups?

    API startups build specialized digital tools that other businesses can easily plug into their software. Instead of making every business create its own payment system, email service, or data analyzer, these startups offer ready-made solutions through APIs. Stripe is a perfect example of this, they focused solely on making online payments simple and grew into a company processing billions just by mastering that single service.

    Top API startups

    Complete list of the most API startups that are worth knowing:

    Contentful

    Founded in 2013, Contentful offers a content management platform designed for delivering digital experiences. Their tools allow teams to create, manage, and distribute content via developer-friendly APIs.

    The Contentful system structures content so it can be delivered across multiple channels like web, mobile, wearables, and digital displays. APIs enable seamless integration with existing infrastructure to display dynamic content. Content authors focus on optimizing experiences while developers work unencumbered.

    Harness Inc

    Founded in 2017, Harness is a software company aiming to transform how engineers build and deploy applications. Their platform uses automation and intelligence to simplify and accelerate the software delivery process.

    The Harness software tracks code from development to production. It catches errors early through automated testing tools and helps resolve issues quicker with machine learning-powered diagnostics. These capabilities allow faster, more reliable delivery of new features and fixes.

    OpenSea

    Founded in 2017, OpenSea is an online marketplace for buying and selling non-fungible tokens (NFTs). It aims to be the most trusted platform for NFT trading through an inclusive peer-to-peer model.

    On OpenSea, digital artists and creators can mint new NFTs with just a few clicks. Collectors can browse, purchase and even resell unique digital assets like art, music, videos, virtual worlds and more. Transactions happen directly between buyers and sellers.

    Alpaca

    Founded in 2015, Alpaca is a financial technology company that offers an API platform for stock trading and brokerage capabilities. Their goal is to make automated, commission-free stock trading easy to integrate for developers.

    The Alpaca API handles the complex mechanisms of accessing market data and executing trades through code. This allows engineers to build and launch stock trading features seamlessly. Startups and apps can incorporate real-time trading without infrastructure costs or regulatory overhead.

    PubNub

    Founded in 2010, PubNub operates a global data stream network that powers real-time communication for thousands of internet-connected devices and applications. Their infrastructure facilitates massive volumes of streaming message data to flow between apps, systems and IoT hardware.

    The PubNub network handles over 3 million messages per second, reaching over 200 million endpoints monthly. Their data stream fabric allows companies to easily build real-time features like chat, alerts, GPS coordination and telemetrics across devices, clouds and platforms.

    Finch API

    Founded in 2020, Finch API is a service platform that connects software applications to core payroll and human resources business systems securely. Their integration tools allow companies to unlock and sync employee data with third party solutions.

    Finch’s APIs facilitate the transfer of sensitive employee compensation and personal information between HR systems like Workday, Gusto, or BambooHR and authorized business apps. This provides developers the building blocks to retrieve real-time staff records to power features like payroll reconciliation, talent management, and benefits enrollment.

    SEON Fraud Fighters

    Founded in 2017, SEON provides fraud prevention and risk management solutions for industries like finance, crypto, and e-commerce. Their tools allow companies to customize fraud fighting modules into their existing platforms to reduce risk across customer transactions.

    For banks, lenders, trading firms, and gambling sites, SEON delivers advanced threat detection to combat spoofing, bot attacks, money laundering, and account takeovers. Granular analytics track customer behavior to expose criminal activity without excess friction.

    Lob

    Founded in 2013, Lob offers print and mail delivery services through their cloud-based platform. Their technology lets businesses automate ordering and sending all types of paper mailings and promotional materials without upfront equipment.

    The Lob API handles the connectivity between marketing systems, design files and production workflows to coordinate complex physical mail campaigns. Companies can integrate Lob’s platform to easily upload mailing lists, personalized letters or postcards to be printed and delivered at scale.

    Traversing

    Founded in 2023, Traversing.ai offers a new hotel operations platform meant to replace outdated legacy systems. Traversing brings together multiple critical hotel software tools into a single, centralized cloud-based solution.

    Traversing handles all guest requests in real-time while also automating integral processes like housekeeping and scheduling. Staff can quickly view and serve various guest needs through one integrated dashboard, including room service orders and facilities issues. Managers get business insights to optimize operations and revenue through analytics tools.

    Ubio

    Founded in 2013, Ubio offers an automation platform that can turn any online process into an API. Their cloud technology allows developers to build workflows that replicate human tasks on websites and apps as automated services.

    The Ubio system acts as a virtual assistant handling things like filling forms, entering data, scheduling transactions or controlling apps based on triggers and scripts. Workflows integrate via API without underlying system changes.

    Finix Payments

    Founded in 2015, Finix Payments provides payment processing infrastructure and tools to help software companies build their own payment solutions. The Finix API handles the complexity behind payment acceptance like merchant accounts, regulatory compliance, security controls, and bank connectivity.

    This allows developers to embed customizable payment functionality quickly without managing backups for uptime and redundancy. Finix also enables easy integration with accounting software, CRMs, and other business platforms.

    RapidAPI

    Founded in 2014, RapidAPI is an online platform that allows developers to easily add backend functions and features to their apps without coding everything from scratch.

    The RapidAPI marketplace has thousands of APIs across many categories that developers can integrate to enable complex capabilities. For example, developers can tap into machine learning algorithms, user authentication services, payment processing, communications tools and more.

    APIGen

    Founded in 2024, APIGen is a company that offers a platform to easily build and deploy application programming interfaces (APIs). Their tool called GenAI generates full API codebases in minutes complete with testing and documentation for developers.

    Creating APIs from scratch can take days involving coding endpoints, establishing data structures, writing validations, and building documentation. With APIGen’s visual editor, developers map out API needs and GenAI handles implementation details behind the scenes.

    Monogoto

    Founded in 2017, Monogoto provides cloud infrastructure and cellular connectivity for developers and enterprises. Their platform enables building IoT devices and applications that require wireless data capabilities.

    Connecting physical products like industrial sensors, fleet trackers or smart retail hardware to cloud apps typically involves configuration hassles around SIMs, carriers and protocol support. monogoto simplifies device-to-cloud connectivity.

    Lean Technologies

    Founded in 2019, Lean Technologies is a financial technology company offering an API platform to provide access to banking and payments infrastructure across the Middle East and North Africa (MENA).

    Lean’s universal APIs allow fintech innovators to build products and services by integrating to core financial rails like bank accounts, wallets, know your customer (KYC) checks, credit scoring and more. This spares startups from negotiating separate deals with each bank and provider.

    Wyng

    Founded in 2010, Wyng is a software company that helps brands better understand and engage with their customers. Their platform makes it easy for marketers to create personalized, interactive experiences that connect with people at the right times.

    The Wyng tools allow brands to capture customer preferences and other first-party data directly and then leverage that information to deliver more relevant messaging in real-time. This helps foster digital relationships that feel tailored and responsive.

    Infisical

    Founded in 2022, Infisical is a company working on open-source solutions for managing sensitive information like passwords, keys and tokens securely.

    Handling secret material properly is important for security, but tricky to do right. Many teams use makeshift methods like storing secrets in shared documents or code repositories. This creates risk if passwords leak or unauthorized changes occur.

    Hygraph

    Founded in 2017, Hygraph provides a content federation platform that connects disparate systems using GraphQL APIs. Their technology enables different services and data sources to interoperate for unified content management and distribution.

    Many stacks today consist of fragmented tools and repositories that don’t easily share information. Hygraph has a unique content federation approach, it can pull and push content from virtually any system or endpoint. This content remains composable and actionable using Hygraph’s GraphQL interface.

    Conclusion

    Now that we’ve come to the very end, one thing is certain, API startups don’t need fancy pitches or complicated business plans to succeed. The recipe is pretty simple, spot a problem that bugs people, build an API that fixes it well, and make it dead easy to use.

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    Top 23 thriving chatbots startups worth knowing in 2025

    Top 23 thriving chatbots startups worth knowing in 2025

    Top 23 thriving chatbots startups worth knowing in 2025

    February 12, 2025

    Revolutionary chatbots startups that change the way we interact with technology

    Chatbots have become an integral part of many businesses’ customer service and marketing strategies. Knowing that, you won’t be surprised that the chatbot market is forecasted to reach  USD 24.58 Billion by 2030. From advanced natural language processing to seamless integration with messaging platforms, chatbot startups are developing cutting-edge solutions to create more engaging and useful chatbot experiences

    Top chatbots startups

    Complete list of chatbots startups that are worth knowing:

    You

    Founded in 2020, You.com is a new search engine startup that wants to make online searching more personal and conversational. Over time, You.com pivoted to prioritizing chat-based searching via an AI assistant. Their chatbot “You” can understand questions, have a back and forth conversation, and summarize answers it finds from across the web. The idea is to move beyond keyword searching to let people ask more naturally in plain English.

    You.com aims to provide relevant, trustworthy information tailored to each searcher. The AI assistant learns your interests over time to refine recommendations and results. So rather than a generic list of links, You.com tries to directly answer queries whenever possible or suggest the best sites based on your profile.

    Kore.ai

    Kore.ai develops enterprise-grade conversational AI enabling natural voice and text interactions between companies and customers. Trusted by leading brands to automate customer support, marketing, and HR workflows, Kore’s no-code platform makes creating AI assistants easy for non-technical teams. Their end-to-end tools design, build, train, and analyze chatbot conversations on websites, mobile apps, contact centers, and IVRs handling millions of customer questions without handoffs to human reps.

    With a proven track record helping 200+ global companies improve operations with virtual assistants capable of 20 billion automated engagements, Kore.ai strives to empower enterprise decision-makers closest to customer pain points with conversational AI that seamlessly answers consumers’ needs.

    Take Blip

    Founded in 2015, Take Blip aims to make conversational AI accessible for businesses to boost efficiency. Their chatbot builder lets teams easily create bots for functions like customer service, lead generation and appointments. Bots interpret text or voice to offer 24/7 automated assistance.

    Take Blip also offers tools for managing messaging across platforms like WhatsApp and Facebook Messenger. Features enable communicating updates, offers and alerts to customers and prospects at scale.

    IntPurple

    Founded in 2020, IntPurple enables remote patient engagement and data exchange through artificial intelligence. Their platforms incorporate chatbots, speech recognition and imaging digitization.

    IntPurple serves hospitals and clinics globally implementing telehealth initiatives. Customers utilize the technology to digitally interact with patients while exchanging records securely. This aims to improve accessibility and information flows.

    Helpr.ai

    Founded in 2020, Helpr.ai is focused on make learning engaging through AI conversing naturally with students. Their platforms incorporate voice, chat and sentiment analysis.

    Helpr.ai serves organizations in corporate training and education seeking to enhance digital experiences. Customers utilize the AI to provide interactive role-play scenarios, feedback and microlearning content. This aims to drive engagement and development.

    Vocinity

    Founded in 2018, Vocinity enables automated natural verbal interactions using AI across bank touchpoints. Their platforms incorporate speech recognition, synthesis and analytics.

    Vocinity serves financial institutions globally implementing service automation initiatives. Customers utilize the voice bots to easily engage account holders across channels with efficient natural dialogue capabilities. This aims to optimize operations and experiences.

    Moveworks

    Founded in 2016, Moveworks applies advanced AI to tackle enterprise support issues more efficiently. Their bot platform incorporates powerful language and reasoning capabilities.

    Moveworks serves large enterprises across industries to automate IT and HR support workflows. Customers utilize the AI to resolve employee queries independently while learning from interactions. This aims to boost productivity.

    Xiaoice

    Created in 2014 by Microsoft, Xiaoice developed emotionally intelligent bots that converse naturally. The AI incorporates compassion along with reason and knowledge.

    Xiaoice interacts with millions of users engaging with the AI companions online for life advice, support or casual talk. Users benefit from friendly bots that exhibit understanding and provide encouragement. This aims to foster positivity.

    Cleo

    Founded in 2016, Cleo makes managing money approachable through friendly finance bots. Their AI integrates banking data and actions into natural dialogues.

    Cleo serves consumers worldwide using chatbots to interact with their finances. Users benefit from tailored budgeting advice, bill reminders and payment capabilities delivered conversationally. This aims to build financial skills.

    OJO

    Founded in 2015, OJO makes real estate approachable by virtually coaching people through AI assistants. Their bot delivers advice tuned to each user’s needs.

    OJO serves home buyers and sellers in the US seeking guidance. Users benefit from friendly, customized assistance comparison shopping, estimating home value, coordinating services and more. This aims to build confidence.

    Yellow.ai

    Founded in 2017, Yellow.ai makes AI accessible to businesses for scalable automation of customer support. Their platform incorporates powerful NLP capabilities.

    Yellow.ai serves enterprises worldwide across sectors like financial services and healthcare. Customers utilize the bots to handle customer inquiries efficiently at scale. This aims to streamline interactions and boost satisfaction.

    Syllable

    Founded in 2020, Syllable automates patient communications through an AI capable of natural dialogue tailored to individual needs. Their platform incorporates advanced NLP.

    Syllable serves healthcare organizations seeking to streamline patient outreach and engagement. Customers utilize the AI to drive self-service, deliver reminders and notifications, conduct surveys and more across channels. This aims to foster access and satisfaction.

    Kasisto

    Founded in 2013, Kasisto delivers AI assistants capable of voice and text-based financial dialogues personalized to users. Their platform incorporates speech recognition and NLP.

    Kasisto serves leading banks worldwide to power virtual assistants across digital channels. Customers utilize the AI to streamline customer service, enhance self-service options, and deepen customer relationships conversationally. This aims to optimize engagement.

    Lingokids

    Founded in 2016, Lingokids makes learning English engaging for young children through technology. Their app incorporates educational games, videos and rewards.

    Lingokids serves families with children ages 2-8 around the world. Kids utilize the app to build English abilities at their own pace through fun, immersive digital activities. This aims to foster skills development and confidence.

    Espressive

    Founded in 2017, Espressive implements friendly AI improving the employee experience through personalized services. Their bot incorporates NLP and machine learning.

    Espressive serves global enterprises seeking to optimize employee services and productivity. Customers deploy the virtual assistant to handle common employee requests while learning from interactions. This aims to ease work life.

    SupportLogic

    Founded in 2019, SupportLogic leverages AI to uncover retention risks and opportunities hidden in customer support data. Their software ingests interaction history to prescribe actions.

    SupportLogic serves B2B companies across sectors like technology and medical devices. Customers integrate the analytics into workflows to get visibility into renewal risks and prescribe outreach to vulnerable accounts. This aims to boost retention.

    Snoop

    Founded in 2019, Snoop simplifies money management through AI identifying spending patterns in transaction data. Their app syncs accounts and categorizes spending automatically.

    Snoop serves consumers in the UK seeking to better understand expenses and budgets. Users get a personalized finance view and customized tips for improving their money situation. This aims to build financial awareness and skills.

    Leena AI

    Founded in 2018, Leena AI enhances employee engagement and productivity through friendly, helpful AI. Their platform integrates NLP and machine learning to mimic human capabilities.

    Leena AI serves global enterprises seeking to support workers and transform HR operations. Customers deploy their chatbots to handle common employee requests, provide assistance and gather feedback at scale. This aims to save time while connecting.

    Sensely

    Founded in 2011, Sensely provides patients personalized care assistance through conversational AI nurses. Their platform integrates language processing and healthcare protocols.

    Sensely serves healthcare organizations seeking to optimize patient monitoring and engagement between visits. Customers deploy the virtual nurses to communicate with patients for care plan reinforcement, health triage and data collection. This aims to identify needs early while automating routines.

    Pypestream

    Founded in 2014, Pypestream implements conversational AI boosting business efficiency and experiences. Their platform integrates language processing and process automation capabilities.

    Pypestream serves global enterprises across sectors seeking to enhance customer and employee engagement. Customers utilize the conversational bots to streamline service, sales and HR workflows through automated yet natural-feeling conversations. This aims to save costs and build rapport.

    EVA

    Founded in 2018, EVA set out to enhance recruiting through AI capable of natural conversation. Their platform automates screening and assessments to reduce bias.

    EVA serves global enterprises to improve their recruiting workflows. Customers utilize the chatbots to engage and evaluate candidates at scale while limiting repetitive work. This aims to boost hiring results.

    ConverseNow

    Founded in 2015, ConverseNow is focused on implementing AI enabling restaurants to boost business through automated conversational experiences. Their platform integrates language processing and restaurant workflows.

    ConverseNow serves restaurants seeking to enhance guest engagement. Customers utilize the bots to streamline reservations, drive sales, support diners and collect feedback through natural-feeling conversations. This aims to improve results and satisfaction.

    MadKudu

    Founded in 2015, MadKudu optimizes sales efficiency through AI insights uncovered in business data. Their software analyzes signals to guide outbound sales strategies.

    MadKudu serves B2B companies across sectors like software and manufacturing. Customers integrate the platform to identify their best potential customers and prioritize sales plays accordingly. This aims to boost conversions and ROI.

    Conclusion

    Chatbot startups aim to deliver more streamlined conversations and personalized engagement to end users while also providing automation and efficiency benefits to businesses.Whether for e-commerce, entertainment, productivity or enterprise applications, these chatbot startups are pushing the boundaries of what chatbots can do.

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