Vibrant Labs develops open-source tools and environments to benchmark, evaluate, and scale AI agents, leveraging techniques such as Reinforcement Learning from Variable Rewards (RLVR). The company’s initial focus is on web and general computer-use agents, providing structured evaluations to improve their long-term performance. Its founding team previously created Ragas, the most widely adopted evaluation framework for AI applications, reportedly used by 80% of Fortune 500 companies. This deep expertise underpins Vibrant Labs’ strategy of making rigorous, scalable evaluations the foundation for training next-generation frontier models. The company champions open-source development, believing it accelerates innovation in the AI ecosystem. Financially, Vibrant Labs has secured $2.5 million in pre-seed funding to launch and expand its platform. Future plans include broadening its suite of benchmarking environments and further scaling its evaluation infrastructure for enterprise and research customers.

Total raised

$3M

Funding rounds

1

Latest round

Seed

Latest activity

Dec 2025