RELAI announced the launch of a verifiable continual learning platform designed to help AI agents continuously improve from real-world failures while preventing regressions. The company also revealed it has secured a total of $6.9 million in funding to support its growth.
The financing includes a newly raised $5.4 million pre-seed round led by .406 Ventures, with participation from AITFund (AI Tinkerers Fund) and other strategic investors. RELAI previously received $1.5 million in funding from Non sibi Ventures and TEDCO.
The Bethesda, Maryland-based company plans to use the capital to expand its engineering team, enhance the platform, and accelerate go-to-market initiatives.
Founded by Soheil Feizi, an associate professor of computer science at the University of Maryland, RELAI focuses on addressing reliability challenges facing AI agents in production environments. Feizi earned his Ph.D. from MIT and received the Presidential Early Career Award for Scientists and Engineers in 2025. His research group and collaborators have published more than 100 AI papers and generated over 15,000 citations.
RELAI’s platform transforms failures, traces, evaluations, and human feedback into replayable learning environments, allowing AI systems to continuously improve while validating changes against previously successful environments. The company describes the approach as Verifiable Continual Learning.
The technology diagnoses the root cause of failures and applies fixes at the appropriate layer of the agent stack, including prompts, tools, memory, workflows, model routing, or code-level repairs. The platform integrates with existing AI frameworks through command-line and workflow integrations.
According to the company, early deployments improved a financial services agent’s validation score from 39% to 80% and increased a healthcare proof-of-concept’s validation score from 62% to 96%.
RELAI is supported by several technology and research initiatives, including NVIDIA Inception, an SBIR award from the National Science Foundation, and the Google Cloud for Startups program. The company has already secured multiple customers and design partners and plans a broader public release on June 22.
KEY QUOTES:
“Getting an AI agent into production is no longer the hardest part; keeping it reliable as teams continuously improve it is. Soheil has spent his career studying how AI systems fail, and RELAI turns that research into practical infrastructure that helps enterprise agents learn from failures without breaking what already works.”
Kevin Wang, Principal, .406 Ventures
“At C3 AI, we’re delivering production-grade agents on the C3 Agentic AI Platform that take on complex, mission-critical workflows for enterprises across manufacturing, energy, defense, and more. As these agents take on harder problems, the ability to evaluate and improve them on realistic edge cases becomes critical, and RELAI has helped us turn hard use cases into evals, and evals into measurable improvements in the agents we ship to customers.”
Nikhil Krishnan, CTO & Chief AI Officer, C3 AI
“For the past two years, the question was whether AI agents could use tools and pass benchmarks. They can. The real frontier now is whether agents can learn continuously from real experience without breaking what already worked. That is the gap RELAI is closing…the missing outer loop that turns failures into durable, verified improvement.”
Soheil Feizi, Founder And Chief Science Officer, RELAI
