16 profitable AI business ideas you should consider starting in 2025

16 profitable AI business ideas you should consider starting in 2025

16 profitable AI business ideas you should consider starting in 2025

January 13, 2025

These AI business ideas have a huge potential for becoming something big

With a global market size predicted to reach 826 billion U.S. dollars in 2030, AI has become a crucial part of our day-to-day life. Whether is for work or just creating a simple shopping list, we all have to admit that AI is making our lives easier. But what if we told you that this is just the beginning? The possibilities for AI are truly endless, from business operations to helping entrepreneurs discover new AI business ideas that could transform industries and improve lives.

After all, it’s not just about making money and more money, it’s about finding that sweet spot where innovation meets work-life balance, helping us work smarter, not harder.

Top 16 AI business ideas

It can be hard to decide which business idea is worth your time and money, So we took our time to help you and gathered 16 AI business ideas that will be profitable in 2025.  

AI-powered chatbot development service

A chatbot development service creates smart digital assistants for companies who need help with customer support. These chatbots answer customer questions instantly, helping businesses save money on support staff while keeping customers happy with quick responses.

The idea works because businesses want affordable ways to offer 24/7 support, and most can’t build chatbots themselves. Customers get fast answers, companies save money, and support teams can focus on complex issues instead of repeating the same answers. Small businesses struggle to match big companies in customer service, they simply can’t afford large support teams. This service levels the playing field by giving them smart chatbots that work a

How much you can make: $100K – $1M annually
How much does it cost to start: $50K – $200K
How long does it take to build: 6-18 months

Personalized health monitoring platform

A personalized health monitoring platform combines wearable devices and smart software to track individual health patterns and provide meaningful insights. The platform collects data about sleep, exercise, heart rate, and daily activities, and then analyzes this information to create detailed health profiles for each user. The system adapts its recommendations based on personal health goals and ongoing measurements.

Unlike standard fitness apps, this platform considers multiple health factors together, showing how they affect each other. It spots potential health concerns early by recognizing unusual patterns in the collected data. The software turns complex health information into clear, actionable advice that helps users make better health decisions.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

AI-driven talent matching platform for recruitment

A talent matching platform that uses artificial intelligence to transform how companies find and hire employees. The system analyzes job requirements and candidate profiles deeply, going beyond simple keyword matching to understand skills, experience, and potential cultural fit. It automatically screens resumes, ranks candidates, and identifies the strongest matches for each position.

The platform saves hiring managers and recruiters from manually sorting through hundreds of applications by using AI to evaluate candidate qualifications objectively. It considers factors like work history, skill progression, and project achievements to predict job success. The system even helps spot promising candidates who might be overlooked by traditional screening methods.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

AI automation agency for business process optimization

AI automation agency for business process optimization companies streamline and optimize their workflows and operations by identifying processes where artificial intelligence software and automated tools can improve productivity, efficiency, and insight generation. As technology grows increasingly advanced, many companies struggle to identify areas ripe for AI adoption and to integrate complex automation solutions with in-house legacy systems. An AI automation agency serves as an intermediary “translator” between businesses and AI capabilities that best address their needs.

By thoroughly analyzing current company processes across units, it can provide customized recommendations on automation strategies to save staff time, reduce errors, and maximize performance based on their unique challenges and objectives.

How much you can make: $100K – $1M annually
How much does it cost to start: $50K – $200K
How long does it take to build: 6-18 months

AI-based content creation and marketing tool

AI-based content creation and marketing tool is a software service that helps businesses automatically generate written content and digital marketing materials using artificial intelligence. Rather than paying high costs for human marketing teams or content writers, it provides an intuitive technology solution. The AI platform asks companies questions then outputs tailored blogs, social posts, emails, web pages and more based on the answers and needs.

This saves significant time and overhead for small firms struggling to create a steady drumbeat of marketing collateral that humanely engages audiences. For optimal relevance, the automated content also incorporates fresh external data like industry news and trending topics.

How much you can make: $100K – $1M annually
How much does it cost to start: $50K – $200K
How long does it take to build: 6-18 months

AI-powered cybersecurity software

AI-powered cybersecurity software uses artificial intelligence algorithms to protect devices and networks from hacking threats and vulnerabilities. By applying machine learning techniques to detect unusual patterns that signal breaches or malware, it provides autonomous, adaptive defense versus relying purely on reactive manual configurations alone.

As cyberattacks grow more frequent and advanced, AI cyber software strengthens protection across endpoints while easing the strain on overburdened IT security teams struggling with manual monitoring and response tradeoffs. It enables proactively hunting emerging attack vectors and insider risks customized per the organization’s infrastructure and data fingerprints for decisive precision versus broad assumptions.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

Real estate market analysis and valuation tool

Real estate market analysis and valuation tools leverage artificial intelligence to analyze real estate markets and accurately estimate property values. By applying advanced machine learning techniques, it processes large volumes of data on recent transactions, housing trends, demographics shifts and other factors driving demand dynamics from block to block.

This empowers easier automated valuations for buyers, sellers, investors,and lenders to guide critical decisions without solely relying on outdated models or time-intensive manual culling alone. Users benefit from data-driven insights into pricing, demand drivers and competition tailored to the granular niche versus generic guesses.

How much you can make: $100K – $1M annually
How much does it cost to start: $50K – $200K
How long does it take to build: 6-18 months

Environmental monitoring app with AI predictions

An environmental monitoring app with AI predictions is a mobile application that uses Internet of Things sensors and artificial intelligence to track environmental conditions and forecast impacts. Crowdsourcing air, water, and other sensor data provide hyperlocal insights beyond sparse publically available readings today.

Users get current pollution, pollen, flood and fire risk levels affecting daily health and activities where they live and work. The app applies machine learning techniques to warn individuals days ahead of peak unsafe conditions their local officials have yet to predict or warn against through legacy communications means.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

AI-based language translation service

This language translation service uses artificial intelligence to accurately convert text or audio between languages. By applying advanced neural machine learning instead of rigid word-for-word substitution, it replicates human fluency in identifying whole phrase meanings amid complex dialogues and dialects.

This enables businesses, organizations, and individuals to seamlessly communicate across language barriers in real-time without losing the original tone or context. For documents, AI translation assists rapid localization so more global communities can access crucial information at once despite linguistics proficiency gaps.

How much you can make: $100K – $1M annually
How much does it cost to start: $50K – $200K
How long does it take to build: 6-18 months

Automated financial consulting platform

An automated financial consulting platform is an online platform that utilizes artificial intelligence to provide customized financial guidance and money management recommendations. By analyzing personal financial data and applying algorithmic advising models, it delivers tailored advice on budgeting, investing, retirement planning, and other money topics without requiring access to a human consultant.

This makes reputable financial expertise more conveniently accessible and affordable for everyday people versus just high net-worth individuals alone. Users benefit from unbiased, data-driven insights to optimize financial health tailored to their unique situation versus generic one-size-fits-all tips.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

Virtual try-on solution for online clothing retailers

Virtual try-on solution for online clothing retailers enables shoppers to visually see apparel items on their actual bodies when browsing ecommerce fashion sites and apps. Using augmented reality technology, customers can view a digital rendering of tops, dresses, glasses, and other garments overlaid on themselves as if peering into a mirror. This bridges the tactile experience gap of traditional online shopping versus in-store dressing rooms to boost conversion rates.

Enabling shoppers to virtually “try before they buy” instills purchasing confidence to follow through after digitally trialing pieces for personalized visual fit. For clothing retailers, it provides a value-added service that protects profitability by reducing returned items that customers buy blindly.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

Smart home integration service

Smart home integration service installs and connects smart home devices using artificial intelligence to automate functions. Rather than requiring advanced technical skills, it handles tailoring configurations like lighting, climate and security custom to each dwelling while simplifying system access through voice and apps. With connected appliance growth ballooning across modern households, professional integration provides cohesive control to alleviate managing disparate gadget protocols on one’s own.

Families and roommates enjoy streamlined access to amenities like entertainment, energy savings and elderly assistance without sorting fragmented manuals and compatibility issues interfering day-to-day. Technicians remain available to support evolving needs remotely over time as well. On the operations side, AI integration productivity tools supplement work order management across dispersed crews spread regionally.

How much you can make: $100K – $1M annually
How much does it cost to start: $50K – $200K
How long does it take to build: 6-18 months

AI-based fraud detection service for financial institutions

Fraud detection service for financial institutions that will use artificial intelligence to identify fraudulent transactions for banks, credit unions, and other financial services companies. By closely monitoring account activity and applying predictive analytics, it flags risky transactions in real time before funds leave customer accounts.

This prevents illegal withdrawals and transfers stemming from identity theft, scams, or insider data compromise incidents financial firms may otherwise discover far too late. Staff save significant manual review hours and instead handle thoughtful exception case management while internal controls strengthen. Clients also benefit from proactive security alerts if unfamiliar withdrawal patterns appear linked to account takeover attempts.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

Smart agriculture solutions using AI for crop management

Smart agriculture solutions offer artificial intelligence-powered products to help farmers improve crop quality and yields. By analyzing data like soil conditions, weather patterns, and plant growth cycles, the technologies provide customized insights to support decision-making around irrigation, pest prevention, and harvesting optimization.
This saves time testing theories while risk and waste drop across fields.

With global food security challenges mounting amid climate shifts and urban density spikes, data-driven agritech tools lift production efficiency without requiring longer plots or resource strains. Workers also redirect manual monitoring hours towards more strategic initiatives to serve communal and consumer needs.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

AI-driven financial portfolio management

It is an investment management service that uses artificial intelligence to make data-based decisions on asset selection and weighting for customized portfolios per client risk appetite. By constantly analyzing markets, news events and historical data, it adapts Portfolios automatically towards optimization versus relying on manual human trading alone prone to behavioral bias.

This approach brings scientific portfolio construction tailored to investors seeking hands-off growth easier than intensive self-management. It frees clients to focus towards long-term goals over daily market nerves. The AI manager aims to outperform benchmarks by identifying opportunities and risks human advisors often overlook while stuck in spreadsheet-crunching mode alone.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

Personalized online education platforms

Personalized online education platforms is an e-learning platform that customizes course content and teaching methods to match individual student needs and preferences. By applying data analytics to track how pupils engage, where they struggle or excel, it adapts materials dynamically for optimized comprehension and skill mastery per user. Learners benefit from digitally responsive instruction catered to fill knowledge gaps, and address weaknesses, and preferred learning techniques at their own swift pace.

Parents and districts also gain clear insight into student performance indicators to shape proactive mentoring. With public classrooms strained under fixed syllabi and uneven child development, one-on-one web tutoring brings out the potential for more digitally fluent generations ahead.

How much you can make: $100K – $1M annually
How much does it cost to start: $100K – $500K
How long does it take to build: 1-2 years

Conclusion

While some worry about AI replacing human jobs, the reality looks more exciting, AI will likely create new industries, new job types, and new ways for entrepreneurs to solve problems that once seemed impossible. So whether you’re jumping into the AI business today or just starting to explore the possibilities, remember, we’re still in the early chapters of the AI revolution and these AI business ideas are just the start of it.

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Mastering the modern SaaS business model (2025)

Mastering the modern SaaS business model (2025)

Mastering the modern SaaS business model (2025)

January 10, 2025

SaaS business model and everything you need to know about it

The software subscription model (SaaS) has changed the tech world in the last decade, with the market growing to over $200 billion annually. This approach to selling different types of software puts flexibility and ease of use first, customers subscribe to use online tools rather than buying them outright. The beauty of this model lies in its simplicity, the software provider handles all the complex technical details, from updates to security, while customers simply log in and use what they need. This makes high-quality software available to more businesses than ever before, regardless of their size or technical expertise.

How SaaS works

The SaaS model works by keeping everything in one place, the provider’s servers handle all the heavy lifting. Users simply log in through their web browsers to access the software, without worrying about installations or technical maintenance. The provider’s team takes care of all updates, security, and backups automatically. 

When customers need help, support is usually included in their subscription. This setup also lets providers track how people use their software, so they can fix problems and add helpful features quickly. The end result? Businesses can focus on their work while providers keep everything running smoothly behind the scenes.

Core principles of a SaaS business model

A SaaS business operates on a simple foundation: offering software through subscriptions that customers access online. The model spreads costs across many subscribers, with each paying a regular fee that helps cover development and operations. Different pricing tiers let customers choose what fits their needs, basic users pay less while those wanting more features pay more. 

Since the software runs online, providers handle all technical aspects like updates and hosting, making it hassle-free for users. Customer satisfaction matters most because happy users stay subscribed longer. That’s why these businesses focus on user-friendly features and reliable support while continuously improving their product.

Building the right SaaS product

Creating a SaaS product that customers will want to use and pay for month after month requires careful attention to several fundamental building blocks, each playing a vital role in long-term success.

  • Solve real problems – Create software that fixes actual customer pain points they’re willing to pay for, not solutions looking for problems
  • Keep it simple – Users expect smooth performance and easy setup, without technical headaches or complicated onboarding
  • Focus on securityProtect customer data with strong security measures since users trust you with their information
  • Improve regularly – Add new features and updates based on user feedback and needs, but test thoroughly before release

When these elements work together, you have a strong foundation for a product that can attract and keep customers while growing steadily over time.

SaaS vs. Traditional models

A clear look at how SaaS differs from traditional software helps businesses understand which model fits their needs better.

  • Payment structure – Traditional software requires a big upfront payment to own the license forever, while SaaS spreads the cost through affordable monthly or yearly subscriptions
  • Software access – Traditional software gets installed directly on your computer and only works there, while SaaS runs through the internet, letting you use it on any device, anywhere
  • Updates and maintenance – Traditional software makes you handle updates yourself and often charges extra for new versions, while SaaS includes automatic updates and continuous improvements at no extra cost
  • Technical requirements – Traditional software needs specific hardware and IT knowledge to run and maintain, while SaaS just needs an internet connection and web browser to work
  • Business growth – Traditional software limits your growth with fixed licenses and installations, while SaaS lets you easily add or remove users as your business needs change

This shift toward SaaS has made professional software more accessible to businesses of all sizes, without the burden of complex technical management.

Conclusion

The SaaS business model has shown it’s a practical choice for both software providers and users. It takes away the old headaches of expensive licenses and complicated installations, replacing them with simple subscriptions and easy access. Small businesses can now use tools that were once only available to big companies, while software providers benefit from steady income and simpler product management.

This approach to selling software proves that sometimes the simplest solution works best, give customers what they need, when they need it, at a price that makes sense for everyone. 

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How dedicated development teams help businesses thrive

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How dedicated development teams help businesses thrive

January 10, 2025

How dedicated development teams help businesses thrive

For businesses to thrive, having a team of efficient professionals is vital. Dedicated development teams are best for this purpose as they are an accumulation of worldwide talents who work remotely. Aside from that, these dedicated teams give all their focus to your project, working hand in hand to get the best results in a shorter space of time.

If your company has a need for product development, outsourcing is the best option for you. However, if not, then lower-cost development projects will be ideal for small businesses with the option of in-house teams.

The main objective for businesses is that they grow through efficient developments and service delivery. In this case, dedicated teams will prove beneficial to businesses whether it has a higher production demand or not. Let’s have a look below to see why dedicated software development teams are essential for business growth.

What are dedicated development teams?

Dedicated development teams have their concentration on the needs of companies with a focus on beneficial strategies. These teams are contracted to the company with fixed payment rates.

Businesses thereafter have constant access to professional developers who prioritize their projects. The created engaging model is an essential component in aiding the business to thrive.

Advantages of dedicated development teams

There are several advantages when it comes to dedicated development teams as they are focused on the needs of the business which allows for substantial growth. Let’s look at the key benefits:

  1. Businesses will have unlimited access to the dedicated development team model. The vast array of talent within the team allows companies the flexibility to work efficiently on projects without having to source professionals at the last minute.
  2. These teams usually have ample experience gained from a variety of previous projects. Therefore, companies have access to professional expertise.
  3. Companies can rely on project development support during and after the launch if they have development teams.
  4. Businesses can expect faster development processes as teams become familiar with the company’s needs.
  5.   Teams usually work on an all-inclusive fixed cost so companies won’t incur per-project costs.
  6.   Business owners will have the flexibility of giving their concentration to core services while remote teams manage development projects.
  7.   Having dedicated teams poses a lower risk as their focus is on meeting the business needs efficiently.

Outsourced vs dedicated development teams

There is a vast difference between outsourced and dedicated development as they have an impact on the relationship between a developer and a business. Outsourcing projects will have businesses researching developers and negotiating costs as they are short-term agreements that usually come with high hourly rates. When outsourcing projects, businesses may also incur delays in production and a higher risk factor.

When it comes to dedicated development teams, the process works differently as they are inclined to start on the project immediately as per the agreement. Businesses have leeway as their demands have to be met by the team who work on a fixed rate. Companies entrust projects to development teams without the worry of delays or additional expenses.

In-house vs dedicated development teams

When looking at in-house and dedicated development teams, they both offer similar benefits. This helps businesses to start projects promptly and gives them a clear idea of team maintenance costs which is advantageous. Companies get a similar level of project support and expertise in both instances.

However, there are minimal differences to take note of. These include infrastructure implementations when it comes to in-house teams. Companies will have to ensure that there is sufficient hardware and software for specific projects as well as ample workstations to accommodate employees.

Additionally, in-house teams are subjected to a minimal variation of projects according to expertise whereas remote dedicated development teams offer extensive talent for several projects.

Consumer demands

In recent years, consumer demands have changed drastically when it comes to developments. Listed below are a few points to take note of.

  • The Agile development model is seen as a problem for businesses without proper enhancement strategies because of the increasing consumer demand.
  •  The model also requires increased collaborations with developers and businesses to stay on par.
  • It has substantially increased subscription services for both Microsoft Office 365 and Netflix, because of efficient development strategies.
  • To keep up with consumer demands, businesses should have ongoing support for their software.
  • To eliminate delays, developers should have ample knowledge when it comes to updating software.
  • To avoid stunted business growth, using professional expertise is vital.
  • To meet consumer software demands, businesses benefit most by making use of dedicated development models.

Conclusion

Dedicated development teams are essential in helping businesses thrive. These efficient teams make sure that the company’s needs are met by developing the required software for projects. If businesses don’t require regular software updates, then they can opt to use a freelancer.

However, if the main service of a business relies on regular software updates, then outsourcing to freelancers is not advisable. Dedicated software development teams will be your best option if your want your business to be on par and grow substantially.

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Top 20 threat intelligence startups you should know in 2025

Top 20 threat intelligence startups you should know in 2025

Top 20 threat intelligence startups you should know in 2025

January 09, 2025

Threat intelligence startups bringing fresh approaches to age-old security challenges<br />

Do you remember when antivirus software was all you needed to stay safe online? Well, not anymore. Traditional security measures don’t meet requirements today against sophisticated cyber threats that carefully plan their attacks months in advance. That’s where threat intelligence startups come in, turning the tables on attackers by exposing their tactics before they can make their move.

With the threat intelligence market expected to hit $29.7 billion by 2032, it’s clear these startups are onto something big. They’re changing how businesses think about investing in cybersecurity, moving from reactive defense to proactive threat hunting and prevention.

What are threat intelligence startups?

Threat intelligence startups are companies that specialize in gathering and analyzing data about potential cyber threats, helping businesses spot and stop attacks before they happen. Using advanced monitoring systems, they track everything from new hacking techniques to suspicious online activities, giving organizations the insights they need to protect their networks and data.

Top threat intelligence startups

Complete list of the most threat intelligence startups that are worth knowing:

Anomali

Founded in 2013, Anomali offers cyber threat detection and response solutions for businesses. Their products gather threat data from across the internet and refine it down to high-fidelity intelligence that security teams can act on.

Anomali’s systems process huge volumes of threat indicators from diverse sources, validate which signals seem suspicious, score their malicious likelihood, and tie related signals together into a storyline. This normalized intelligence integrates seamlessly with popular security platforms like ArcSight, IBM QRadar, and RSA to enhance their detection capabilities.

Skybox

Founded in 2002, Skybox offers cybersecurity solutions for vulnerability and risk analysis. Their main product is a data platform that evaluates network threats and prioritizes fixes. The Skybox platform gathers intelligence from many sources like device properties, alert feeds, and vulnerability databases. It uses this to model an organization’s unique attack surface and exposures. Powerful analytics then rate each risk so security teams know what requires urgent attention.

Visual workflow maps also track threats from the initial entry point to impacted assets. This connects the dots to determine damage potential per vulnerability. Reporting and metrics track remediation progress and risk reduction over time.

LookingGlass

Founded in 2014, LookingGlass is a cybersecurity company that helps protect organizations from online threats using intelligence gathering and data analysis. Their platform utilizes a wide range of threat data sources to provide comprehensive protection.

The LookingGlass solution continuously gathers information on new hacking techniques, malware campaigns, fraudulent activities, and other emerging dangers. This real-time threat intelligence enables them to detect risks early before damage can occur.

Arbor Networks

Founded in 2000, Arbor Networks is a cybersecurity company that helps protect enterprise and service provider networks from advanced threats like DDoS attacks. Their solutions give companies wide visibility into network traffic and immediate alerts about suspicious activities.

The Arbor Networks toolkit includes threat detection powered by analyses of NetFlow and packet capture data. This network-wide insight exposes anomalies and known attack patterns. Security teams can quickly investigate issues before damage occurs.

CloudSEK

Founded in 2015, CloudSEK is a company that offers cybersecurity solutions for enterprises. They provide digital risk monitoring by scouring the open and dark web to identify emerging threats, data leaks, and other risks related to a client’s digital assets.

Their AI-powered software performs continuous scans covering websites, forums, paste sites, chatrooms, and more. Any mention online of a client’s IP addresses, keywords, or other assets gets flagged for immediate action. This allows security teams to rapidly detect and respond to threats like data leaks before substantial damage occurs.

ThreatConnect

Founded in 2011, ThreatConnect is a cybersecurity company that helps protect organizations from sophisticated hacking and malware attacks. Their platform gives security teams better efficiency, control, and insights as they gather, analyze, and act on threat intelligence.

The ThreatConnect solution integrates threat data from multiple sources both inside and outside an organization. This produces a comprehensive view of risks targeting the business. Detailed attack timeline mapping and data-sharing tools allow collaborative investigation between analysts.

IronScales

Founded in 2014, IronScales offers a complete solution for businesses to protect against phishing attacks. Their system includes an engaging phishing awareness training program for employees combined with automated response technology called IronTraps.

When workers receive suspicious emails, they can easily report them to IronScales with one click. Each report feeds into the IronTraps platform which uses crowd-sourced data to instantly identify and stop phishing threats before damage occurs.

Expel

Founded in 2016, Expel is a cybersecurity company that provides managed security services to help organizations defend against online threats. Their offerings include managed detection and response (MDR), security remediation, phishing simulation, and threat hunting.

The Expel MDR service acts as an extension of companies’ security teams by constantly monitoring networks to catch real cyberattacks. When Expel detects malicious activity, its security experts can contain the threat and guide the client through remediation.

Nucleus Security

Founded in 2018, Nucleus Security offers a platform that automates the process of finding, prioritizing, and fixing vulnerabilities in an organization’s systems and software. Their goal is to help companies improve security and reduce risk more efficiently.

The Nucleus platform continuously scans code, networks, cloud environments, and web applications to identify security flaws and weaknesses. It then analyzes and ranks the severity of each vulnerability so teams know what needs patching first. Nucleus also suggests specific remediation guidance and can integrate with DevOps pipelines for rapid response.

Cynet Security

Founded in 2015, Cynet Security is a cybersecurity company that helps protect organizations against advanced hacking threats and targeted attacks. Their security platform is designed to rapidly detect threats and automatically respond within seconds to prevent damage.

Standard security tools often miss sophisticated attacks and generate false alarms. Cynet uses specialized technology to identify even stealthy, custom-made threats with high accuracy. This minimizes disruption while still providing robust protection.

Siren.io

Founded in 2014, Siren.io is an investigation software platform that helps organizations protect people, assets, and networks. Siren combines data from public, commercial, and classified sources so analysts can better assess risks, threats, and crimes.

The Siren platform enables connections between siloed data to reveal insights. Users can mine information on suspects from social media, government records, phone records, and watchlists. Link analysis exposes relationships within complex networks to aid investigations.

Acalvio

Founded in 2015, Acalvio is a cybersecurity company that developed a platform called ShadowPlex to protect against internal threats within an organization’s own IT infrastructure and networks.

ShadowPlex uses advanced machine learning and data science to monitor network traffic, user activity, file transfers, and emails for signs of compromised credentials, unauthorized access attempts, privilege abuse and potential data exfiltration. By establishing normal behavior baselines, ShadowPlex can identify sophisticated threats that evade traditional security tools.

Nisos

Founded in 2015, Nisos provides customized intelligence services to help organizations manage security, risk, and safety issues. Their model brings enterprise-grade capabilities to teams that typically can’t invest in building their own intel teams and infrastructure.

Nisos intelligence analysts immerse themselves directly in an organization to understand unique challenges whether in security, compliance, or online community health. This first-hand perspective allows them to uncover threats specific to that company using tactics like surveillance monitoring, vulnerability probes, and dark web investigations.

Intezer

Founded in 2015, Intezer applies principles from biology to improve cybersecurity defense against hackers and malware. Their software mimics functions of the natural immune system to automatically detect threats.

Just as the body identifies foreign intruders like viruses, Intezer technologies profile computer code to find anomalous and potentially harmful patterns. Their system classifies all software DNA to reveal threats hiding in files, apps, and operating system processes.

CounterCraft

Founded in 2015, CounterCraft is a cybersecurity company that helps organizations proactively protect themselves against targeted attacks on their digital assets and infrastructure. Their platform allows security teams to create and manage counterintelligence campaigns across an organization’s networks, servers, data, and social media presence.

The CounterCraft solution focuses on detecting and responding to advanced persistent threats from well-resourced adversaries. Their technology identifies focused attack patterns and then launches deception campaigns to confuse and block threats. This shift from passive defense to active counterintelligence aims to increase attacker costs and minimize business impact.

Cydome

Founded in 2018, Cydome is a cybersecurity company that specifically serves the maritime industry. They provide technology and services to help ships and fleet operators prevent hacking and data theft.

Cydome’s team combines cyber experts with maritime professionals. This unique expertise allows them to understand risks across vessel systems, navigation tools, cargo/logistics systems as well as port infrastructure. Their security platforms are designed based on real-world experience battling attacks in the maritime environment.

Cysurance

Founded in 2018, Cysurance provides cybersecurity insurance, warranties, and certifications for businesses deploying IT solutions. They thoroughly vet and validate security products and services to ensure enterprises mitigate risks.

The cyber insurance industry struggles to accurately price policies due to fast-changing threats. Cysurance helps carriers model risks through stringent testing of clients’ technology stacks. Their certification gives underwriters confidence in the rigor of security defenses.

CyberHelper.net

Founded in 2020, CyberHelper.net has developed software that helps analyze cybersecurity threats and attacks. Their system uses artificial intelligence along with network monitoring to detect issues and guide security teams in responding quickly.

CyberHelper’s tool performs real-time tracking of network activity to identify potential intrusions or infections. It looks for known malicious patterns as well as subtle anomalies that could indicate zero-day exploits. The software presents security analysts with actionable incident reports to allow rapid investigation.

Novus Security

Founded in 2022, Novus Security developed a browser extension that uses artificial intelligence to detect online scams and threats. Their tool aims to catch phishing attempts, malware links, and shady messages before users get duped.

The Novus browser plug-in works by examining the content on webpages and in emails as you view them. Advanced machine learning immediately recognizes signs of fraud and cybercrime. It alerts you within seconds if a message looks dangerous or suspicious so you don’t click links or share information.

Conclusion

Nobody likes surprises, especially when those surprises are cyber attacks that could wreck your business and cost you a lot. So, instead of just reacting to attacks, businesses can now spot and stop cybersecurity risks before they turn into real problems. That’s exactly what threat intelligence startups bring to the table, a way to stay one step ahead of the bad guys instead of always playing catch-up.

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January 08, 2025

Examples of some of the best and worst marketing campaigns we saw in 2021

Thousands of businesses compete for the attention of customers every day and it’s difficult to cut through the noise of digital media. This is where marketing campaigns come in. Brands need compelling marketing campaigns to reach new customers, whether they’re selling software, ice cream, or comprehensive access control systems.

Brands’ approaches to marketing campaigns have shifted dramatically in recent years. The straightforward pitches about products and services are a thing of the past. Every year, marketing campaigns are getting more creative as brands try to stand out from their competition. Sometimes these unique approaches can be highly effective, and in other cases, they crash and burn.

Whether it is through TikTok videos, humorous tweets, or attractive billboards, 2024 had no shortage of exciting marketing campaigns and marketing strategies. Here are the best and worst campaigns of the year.

5 best marketing campaigns of 2024

We’ve put together a list of the five best marketing campaigns we saw last year. Here is to another successful year of marketing creativity!

Barbie x Everything

Mattel turned the Barbie movie release into a cultural phenomenon that went far beyond typical movie marketing. The campaign created the “Barbenheimer” movement by embracing its coincidental release date with “Oppenheimer,” turning potential competition into collaborative success. 

Their “pinkwashing” of everything from airplanes to clothing brands showed how going all-in on a theme can capture global attention. The campaign generated over $1.4 billion in box office sales and made pink the color of 2023-2024.

Duolingo’s TikTok domination

Duolingo proved that B2C brands can thrive on TikTok with their chaotic yet strategic approach. Their green owl mascot became a viral sensation by participating in trends, creating original content, and even “threatening” users to complete their language lessons. 

The brand saw a 40% increase in active users, showing how embracing platform-native humor can transform a learning app into a cultural icon.

Spotify wrapped evolution

Spotify took their already successful year-end campaign to new heights by adding AI-powered music personality insights and even more shareable moments. The campaign generated over 200 million social shares in its first week, proving that personalized, data-driven content remains king. Their innovation showed how to refresh a familiar campaign while maintaining its core appeal.

Prime’s sports partnerships

Logan Paul and KSI’s Prime drink brand showcased the power of strategic sports partnerships. From UFC to Premier League sponsorships, they leveraged their influencer backgrounds to create authentic connections with sports fans. 

The brand reached a $1.2 billion valuation, demonstrating how modern influencer marketing can build a beverage empire.

Ryan Reynolds’ mint mobile

When T-Mobile acquired Mint Mobile, Reynolds turned what could have been dry business news into entertainment gold. His honest, humorous approach to announcing the $1.35 billion deal showed how transparency and authenticity can make even corporate acquisitions engaging. The campaign maintained Mint’s brand voice while navigating a major business change.

5 worst marketing campaigns of 2024

Not every marketing campaign was so successful. Here are five well-known companies whose campaigns sparked controversy in 2024.

Meta’s threads launch

Burger King’s statement last year on International Women’s Day, that “women belong in the kitchen”, caused uproar on social media. It was part of a marketing campaign to highlight the new initiative of the chain in the restaurants to facilitate the female executive chefs.

However, this message did not come through and the original tweet confused thousands on social media. As the backlash grew, the company said that not including the complete program in its first tweet was a mistake, a lesson for us all!

Coca-Cola’s AI holiday misfire

Coca-Cola learned the hard way that some things just shouldn’t be automated. Their attempt to use AI to recreate their beloved “Holidays are coming” campaign backfired when viewers found the ads lacking the emotional warmth that made the originals special. Instead of spreading holiday cheer, the AI-generated content felt hollow and mechanical, proving that when it comes to emotional connection, human creativity still wins.

Apple’s “Crush!” controversy

Apple’s iPad Pro campaign “Crush!” crushed more than just art supplies, it crushed their relationship with creative professionals. The ad showing traditional creative tools being destroyed by a hydraulic press missed the mark entirely.

What was meant to showcase the iPad’s capabilities instead came across as dismissive of traditional art forms. After significant backlash from the creative community, Apple’s marketing team had to apologize and admit they got it wrong.

Pepsi’s logo redesign reception

Pepsi’s attempt to modernize its logo while honoring its heritage met mixed reviews. The campaign’s inability to clearly communicate the value of the change led to consumer confusion and memes rather than brand reinforcement. It demonstrated how even established brands can stumble when rebranding without strong public buy-in.

AI-generated marketing fails

Multiple brands learned the hard way that AI isn’t a marketing silver bullet. From awkward generated images to tone-deaf copy, companies rushing to embrace AI without proper oversight created numerous PR headaches. These failures became cautionary tales about balancing innovation with human oversight.

Conclusion

These 2024 campaigns show that successful marketing requires authenticity, quick adaptation to cultural moments, and strong crisis management. While some brands turned challenges into opportunities, others learned valuable lessons about the importance of reading the room and making a strategic approach.

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