Zeki Data provides a data intelligence platform that evaluates and scores deep tech companies based on the potential of their innovators in fields such as AI, quantum computing, and health technology. This platform enables organizations to make informed investment and talent acquisition decisions by quantifying the future innovation potential of over 40,000 evaluated companies.
Funding
$4.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Investment and talent acquisition decisions in deep tech are difficult due to the lack of reliable methods for evaluating the future potential of companies and their innovators. Traditional metrics often fail to capture the nuances of innovation, leading to suboptimal resource allocation.
Solution
Zeki Data offers a data intelligence platform that addresses this challenge by scoring deep tech companies based on the quality and potential of their science and engineering talent. The platform evaluates over 40,000 organizations, providing a quantitative signal—the Zeki score—that helps investors and recruiters identify promising ventures and individuals. By linking the caliber of innovators to a company's future innovation potential, Zeki Data enables more informed decisions, reducing risk and maximizing ROI in frontier technology sectors. The Zeki score offers a rigorous methodology to assess risk and reward potential before investment or hiring.
Target Audience
The primary audience includes investors seeking to identify high-potential deep tech companies and recruiters aiming to attract top science and engineering talent.
Features
- Evaluation and ranking of over 10 million scientists, engineers, and researchers.
- Quantitative "Zeki score" reflecting a company's innovation potential.
- Focus on frontier technologies including AI, quantum computing, data engineering, semiconductors, advanced materials, health technology, and life sciences.
- Data-driven insights into the relationship between talent and innovation.
- Reports on deep-tech talent trends, including analyses of women in AI and leading AI companies.