Redouble AI

Scale human-in-the-loop for AI workflows in regulated industries

Java-native multi-agentic AI operating system for enterprise

Redouble AI is the solution to scale human-in-the-loop for AI workflows in regulated industries. Instead of having to rely on slow and expensive human reviewers, Redouble’s clients save 80% of staff costs and significantly improve the accuracy and quality of their outputs by integrating our tool into their workflows. Addressing an $11BN market, the company is already generating revenue with its first set of clients. The founders are two serial entrepreneurs (who have built successful companies in AI and health-tech respectively) and a data engineering veteran who has written more than 120 enterprise-grade software applications.

At Redouble AI we have developed Silverlake, a Java-native agentic AI operating system for enterprise. While all other AI solutions force enterprise stakeholders to embrace unfamiliar concepts in an unfamiliar language, we do the opposite: we slot agentic AI right into the enterprise comfort zone - by mapping all agentic principles onto familiar enterprise primitives in their own language, their own security model, their own infrastructure. It’s like moving from Bitcoin to Stablecoin, just for agentic AI. 18 months ago we did YC and realized there was no framework or platform that gave us as enterprise and workflow automation veterans what we needed to build truly secure, reliable, and scalable agentic solutions for mission-critical workflows. That’s why we built Silverlake from the ground up. We empower the 12 million Java engineers worldwide to write and deploy their own AI, securely, at scale. They define an agent in a few lines of code, and our platform does everything else, from orchestration to permission control, from auditability to rate limiting, from long-running agents to autonomous coordinated networks that perform the work of entire departments. Silverlake has been developed with design partners across biopharma, insurance and financial services. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player. In terms of team: Martin (CEO) is an Oxford PhD and Wharton MBA turned serial entrepreneur who previously founded and scaled a pharma workflow automation company closing millions in enterprise deals; Andrey (CTO) has developed more than 120 enterprise software and AI applications in a 25 year career across large enterprise and several startups. We are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch.