The platform allows for fine-grained testing to identify unexpected model behavior, such as biased hiring algorithms or misclassifications in critical healthcare applications. This approach helps teams and enterprises launch their models more quickly by eliminating the need for time-consuming experimentation-based testing. Kolena's customer base includes several Fortune 500 companies, leading AI startups, and government organizations.
Key takeaways:
- AI and machine learning model testing startup, Kolena Inc., has raised $15 million in a Series A funding round to further its mission of revolutionizing how AI systems are tested and validated.
- Kolena's platform allows teams to assemble highly specific test cases from the data sets that power their AI models, enabling evaluation of each model’s effectiveness in key scenarios and applications.
- The company's solution helps to root out unexpected model behavior such as biased hiring algorithms, false positives or misclassifications in critical healthcare applications and other failure modes.
- The funding round was led by Lobby Capital LLC, with participation from SignalFire Inc., Bloomberg Beta LP, 11.2 Capital LP and Zero Prime Ventures LLC. The funds will be used for research and development to build the company’s AI quality framework and toolings.