Top 22 business intelligence startups to know in 2024

What are Business Intelligence startups?

Business Intelligence startups are providing innovation solutions that are being used by companies to gain actionable, data-driven business insights.

Celonis

Celonis provides businesses an Execution Management System to optimize complex operations in real-time. Their software meticulously maps data flows across infrastructure, applications, and devices to offer complete visibility into business processes. Advanced algorithms instantly detect and diagnose inefficiencies in core supply chain, procurement, production, sales, and other workflows before they compound into major problems.

By spotlighting root causes of latency, gaps, and friction hindering processes enterprise-wide, Celonis EMS enables companies to simulate changes and rapidly realign systems to fulfill execution goals. Celonis offers actionable intelligence so businesses can instantly adapt operations, resources, and data orchestration to accelerate outcomes in a volatile world requiring nimble adjustments to strategy.

ActivTrak

Founded in 2015, ActivTrak lets managers see which websites workers access, which apps they leverage most, and where time goes on a per-person basis. The aggregated visibility enables better policy decisions, security practices, and coaching around time management.

By giving transparency into human activity patterns within software systems, ActivTrak aims to guide companies toward healthier digital environments. Customers report optimized software spending, strengthened data protection, and over 20% gains in productive time from ActivTrak-informed changes.

Incorta

Founded in 2013, Incorta leverages a proprietary high-performance analytics engine to efficiently process large volumes of enterprise data for analysis. Their platform consolidates disparate data sources for unified insights.

Incorta aims to help organizations derive value from their data far faster than traditional analytics tools. The software minimizes preprocessing for quicker time-to-insight from diverse data at enterprise scale.

DataLion

Founded in 2018, DataLion consolidates data from siloed sources into a centralized hub to give cross-functional teams self-service access to insightful dashboards, reporting, and collaborative analytics.

By democratizing access to data organization-wide, DataLion aims to empower every employee to make faster, more informed decisions based on facts. Their easy-to-use platform requires no technical skills.

Starlly Solutions

Founded in 2018, Starlly Solutions recognized field service was ripe for a data-driven overhaul as sensors, IoT and mobility generated new volume and types of insights. Their SaaS solution unlocks this potential through intelligent optimization algorithms.

Clients across telecom, energy, and other service-intensive sectors use Spectra to match the right technician expertise and location to each demand in real-time. As field service leverages big data, Spectra drives measurable improvements in response time, cost, and customer loyalty.

DemandMatrix

Founded in 2018, DemandMatrix enables revenue teams to prioritize resources around accounts statistically more likely to convert rather than spraying and praying. Their data-driven approach provides a 6X boost in qualified pipeline creation for clients.

Major firms like Autodesk and Spotify leverage DemandMatrix’s intelligence to focus sales efforts on high-potential targets at the right time. As B2B buying complexity increases, their platform provides the critical insights to convert effectively.

Gaming Analytics

Founded in 2020, Gaming Analytics was created by casino veterans who realized the wealth of data generated on gaming floors held untapped potential if synthesized. Their analytics solution unlocks this intelligence to drive decisions.

Leading casino firms use Gaming Analytics’ dynamic recommendations to optimize gaming mix and promotions, tailor rewards, and target marketing. As the gaming landscape evolves, data-driven agility maximizes success.

Espacia

Founded in Chile in 2016, Espacia recognized an opportunity to transform pedestrian traffic analytics from approximated to precisely measured through floor-level sensing. Their mats draw on manufacturing innovations to enable scalable deployment across locations.

With major retail, banking, healthcare, and municipal clients globally, Espacia delivers commercial foot traffic intelligence previously left to rough estimates. As consumer behavior evolves, their sensor data informs smart responses.

Alteryx

Founded in 1997, Alteryx understood the challenges fragmented tools created for gaining value from siloed enterprise data sets. Their unified analytics platform aimed to centralize and streamline analytics workflows to boost productivity.

Now with thousands of global customers, Alteryx leads analytics process automation and productivity in large enterprises. Their success demonstrates the organizational efficiencies and competitive edge gained when the entire data analysis lifecycle integrates seamlessly.

Dremio

Founded in 2015, Dremio fulfilled the need for a single easy-to-use solution that removed the barriers to data lake analytics. By streamlining access and data curation across siloed storage, Dremio unlocks the full potential and scalability of data lake investments.

Global industry leaders like Microsoft, JP Morgan, and Allianz leverage Dremio to accelerate time-to-insight across their data ecosystems. As data volumes explode, Dremio makes lakes perform.

Genesys

Founded in 1990, Genesys pioneered integrating call center and CRM systems to enable data-driven customer engagement. Their cloud offerings provide full CX suite deployment flexibility. With thousands of clients worldwide, Genesys enables both customer-centric innovation and scalable reliability.

Global brands like Delta Air Lines, Microsoft and Vodafone partner with Genesys to turn customer experience into sustainable competitive advantage. Their platform aligns sales, marketing and service to delight customers consistently at scale.

Alation

Founded in 2012, Alation applies analytics and AI to automatically index and document enterprise data from databases, files, tables, and dashboards. Their catalog surfaces metadata, relationships, usage, and context.

By centralizing and organizing knowledge about data, Alation enables employees to seamlessly discover, govern, and collaborate around trusted data sources to extract value.

Heap

Founded in 2013, Heap automatically captures every user interaction in mobile or web products. Their platform replaces fragmented tools with unified data collection and analysis.

Product teams can instantly query Heap’s warehouse across events to understand behavior. This aims to enable insight derivation without engineering analytics overhead.

AppDynamics

Founded in 2008, AppDynamics offers real-time analytics to monitor and optimize application performance across cloud environments. Their platform combines metrics monitoring, tracing, and AI-driven anomaly detection.

By centralizing observability data, AppDynamics aims to simplify troubleshooting and maximize optimization of complex enterprise applications. This promises to improve customer experiences and business outcomes.

Hypersonix

Founded in 2018, Hypersonix applies ML and NLP to extract insights from commercial data like support tickets, surveys, reviews and transaction records. Their algorithms autonomously process requests and generate visual reports.

This aims to provide rapid consumer intelligence to guide decision making without manual analytics overhead. Marketers gain on-demand insights about customer behavior from enterprise data.

Workboard

Founded in 2013, Workboard allows organizations to set goals, track progress, and provide employee feedback through their web and mobile tools. The software aims to align activity to outcomes.

By centralizing goal setting, tracking, and reviews, Workboard aims to keep employees focused on priority results. Integration with systems like Slack and PowerBI also helps maintain alignment.

Premise Data

Founded in 2011, Premise Data leverages crowdsourced data collection to provide real-time insights into consumer trends, retail pricing, brand perception, and macroeconomic indicators. A worldwide contributor network sources first-hand observational data.

With data from over 125 countries, Premise Data serves customers across industries from CPG and finance to development organizations. All benefit from tapping into primary data instantly via their online platform.

Aera Technology

Founded in 2017, Aera offers an AI platform that autonomously performs tasks, forecasts outcomes, and provides recommendations based on data analysis. This allows enterprises to optimize complex operations.

Key capabilities include processing invoices, managing supply chains, monitoring business performance, and synthesizing insights across data silos. Aera integrates with existing systems to enhance productivity.

Clearbit

Founded in 2015, Clearbit offers a business intelligence platform delivering real-time information on prospective customers to drive sales and marketing. Their data enhances CRM and marketing automation systems.

Key features include lead enrichment, account-based marketing research, visitor identification, customer analytics, and compliance monitoring. This contextual knowledge improves engagement and strategic decision-making.

DocSend

Founded in 2011, DocSend provides a sharing platform with viewer analytics for documents like sales proposals, pitches, and client reports. Senders can see real-time insights into engagement and interests.

Key features include document tracking, customized security controls, and integration with existing tools like CRM and email. This brings efficiency and transparency to critical business document workflows.

Saama

Founded in 1997, Saama provides a data analytics platform optimized for the clinical trial process in the pharmaceutical industry. Their software enhances operations, compliance, and product success leveraging AI applied to aggregated trial data.

Key applications include optimizing patient recruitment, accelerating trial timelines, and enabling faster regulatory submissions and approvals for new therapies entering the market. This drives significant value across development.

Wizeline

Founded in 2014, Wizeline partners with enterprises to create transformative digital products leveraging leading-edge tech like data science, artificial intelligence, and cloud computing. Their global team provides end-to-end capabilities.

Key services include product strategy, design, development, launch, and ongoing optimization. This full lifecycle expertise enables Wizeline to maximize business outcomes for clients through technology.

Conclusion

csThe need for business intelligence startups in the market has increased due to businesses’ growing emphasis on strategic decision-making and data-driven approach which leads to better results. With more companies incorporating this “data-driven” mindset, the number of business intelligence will continue to grow rapidly.