We combine machine learning and data engineering with robust verification processes and a strong network of ecosystems. These days, companies grow from seed stage to unicorn within a few years. Therefore historical data is no longer enough. The next big thing can emerge from anywhere in the world, not just Silicon Valley or other established tech hubs. Real-time data and predictive technology are required, using powerful algorithms.

We apply AI and algorithms to gather large quantities of data from public sources such as news, company filings, domain & trade registries, job boards, web and app store analytics, and investor portfolios among others

Our local government partnerships form an interconnected network, sharing data & knowledge. These win-win partnerships give Dealroom access to unique data and are possible thanks to an API-first approach

Whether data is aggregated via AI or submitted by partners and users, we’ve always maintained extensive verification of data. This involves countless hours of manual work by our Intelligence Unit and of team analysts, assisted by proprietary verification software.

Our data science team crunches the data, using state-of-the-art tech including machine learning to uncover actionable predictions. Our Intelligence Unit is constantly on the lookout for new insights and trends.

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Good data is valuable by itself. Building an engaged community around that data is 10x more valuable however. Data transparency has the power to accelerate entrepreneurship and innovation. It does so by inspiring people and enabling better decision-making. Rather than treating data as something to be hoarded, our mission is to support startup ecosystems. This is not just talk. We've materialised it in several ways:

With data on 2M+ companies globally and over 100 data points on each company, Dealroom helps you identify under-the-radar companies, perform in-depth analysis, and more.