Top Business Intelligence Startups in 2027

Our company is used by the largest, fastest-growing companies in the world. Powered by AI technology and leveraging advances in Natural Language Processing and Machine Learning in particular, our company is a revolutionary search engine that delivers superior results—helping agile teams make better strategic decisions and gain a competitive edge.

ThoughtSpot is disrupting the BI industry with search-driven analytics for the enterprise. ThoughtSpot's Relational Search technology lets business people analyze company data in seconds and helps BI & Analytics teams cut their reporting backlogs by over 90%. ThoughtSpot connects with data from on-premise and cloud data sources and is designed for enterprise-scale, security, and governance - all while deploying 85% faster than legacy technologies. ThoughtSpot has built the world's most advanced, yet easy-to-use number-crunching machine with a singular mission - to deliver access to data at "human scale. The company's founding team has previously built market-defining search and analytics technologies at Google, Amazon, Oracle and Microsoft. For more information please visit thoughtspot.com.

Tray.io is a low-code, cloud-first approach to automation. We've built a scalable, resilient, and secure platform that transforms fragmented process into powerful business outcomes. Using the Tray platform, organizations can connect their entire cloud stack using APIs, and thanks to a visual workflow builder, customers can easily create automations that drive their business processes using clicks or code. Our focus is currently on the automation and integration of cloud software, but our bigger goal is to build a platform that is use-case agnostic and supports creating all kinds of software. Our challenge is to build a cutting edge product that is powerful and complete while also being beautiful and easy to use.

At alation, we are a team that is passionate about creating a more curious and rational world by providing our customers with the tools to build a data culture. from our product to how we operate as a team, we’re excited to change the world by combining machine learning and human collaboration to bring confidence to data-driven decisions.

We provide tracking and analytics for both phone calls and web forms. We help you discover which ads, keywords and campaigns bring valuable leads over the phone and on the web. We offer call tracking software which can reveal which campaigns, websites, and search keywords are driving phone call conversations. With visitor timelines you can see your customer’s journey through your website. Call conversion data feeds directly into Google Ads and even optimizes your PPC call tracking campaigns so you can track phone calls as conversions. Our product is designed to be straightforward and accessible to businesses of all sizes. We help optimize your workflow so you can measure the quality of your conversations and turn more leads into customers.

Mapbox is an open source mapping platform for developers. We're changing the way people move around cities and understand our planet. We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub. With our global, autoscaling infrastructure and cross-device compatibility, integrating our maps into your apps is easy even if you have millions of users. Over the last 7 years our team of dedicated cartographers, data analysts, and software engineers have built our entire stack using open source software and open data communities. We're based in Washington, DC and San Francisco, and we're just getting started. mapbox.com/jobs

Composable Analytics has developed an Intelligent DataOps platform, originally prototyped and developed at MIT. The platform allows data scientists, analysts, IT professionals, and developers to collaboratively create and run analytical methods and reporting applications across disparate datasets.

DataRobot is a predictive analytics platform for data scientists to build and deploy accurate predictive models in a fraction of the time it takes today. By harnessing the power of massively parallel computing, DataRobot builds and refines 1000s of possible models using R and Python to find the best ones in just hours. We've incorporated the knowledge and expertise of our world-class data science team into a solution that unleashes the productivity of practitioners, regardless of their level of expertise. From small companies with part-time data scientists to large enterprises with dedicated data science teams - DataRobot helps organizations make better predictions, faster.

Emburse humanizes work by empowering business travelers, approvers, finance professionals and CFOs to eliminate manual, time-consuming tasks so they can focus on what matters most. Emburse brings together some of the world’s most powerful and trusted expense management and accounts payable automation solutions, including Abacus, Captio, Certify, Chrome River, Nexonia and Tallie. The company’s solutions are trusted by more than 4.5 million business travelers and finance leaders in more than 120 countries. Over 14,000 organizations rely on Emburse’s solutions to eliminate manual processes, reduce risk, ensure compliance, and deliver deep spend insights to enable smarter, more informed decisions.

CROSSK is building Whitebrinjal — an AI-driven decision infrastructure for complex enterprise technology procurement. Enterprises struggle to evaluate emerging technologies because the hardest work happens before procurement: defining the problem, aligning stakeholders, comparing unfamiliar solutions, validating fit, and building the business case. Whitebrinjal structures this fragmented pre-procurement journey into a decision layer—helping enterprises move from complex problems to decision-ready engagement with the right technology providers, while helping providers reach qualified enterprise opportunities with context, intent, and stakeholder alignment. We are solving the gap between “we have a complex problem” and “we know what to buy, why, and from whom.”