The team behind Redouble AI: operators and engineers with decades of experience shipping workflow automation into the most demanding enterprise environments.
The promise of agentic AI is immense, and the biggest AI and cloud providers are investing heavily in making it real. But getting to successful deployment at scale is hard. More than 90% of GenAI pilots fail to yield business returns. Off-the-shelf AI tools fail to deliver the ROI they promise. And the emerging managed agent runtimes are all built on the same architecture: sandbox-based, Python-only, and priced per agent session.
Redouble AI's multi-agentic Silverlake platform, written in Java for Java engineers, addresses these challenges at their root. We didn't build a thin wrapper around LLM calls and call it a framework. We built the production infrastructure that makes agentic AI actually work at enterprise scale, in a secure, reliable, and auditable way.
Java engineers can build even complex, long-running agents with only 30 lines of Java code Companies benefit from security, scalability, enterprise connectivity, and full auditability for all their agentic workflows Business Leaders get the ability to automate core workflows at scale, going way beyond chatbots and creating real ROIBacked by Y Combinator and leading VC firms, we bring together deep expertise in Java engineering, applied enterprise AI, and workflow automation. We have graduated from the world's top universities and spent decades building and deploying systems under the most stringent enterprise requirements.
The result: A scalable, secure, multi-agentic AI platform that enables our clients and partners to automate their core processes and mission-critical workflows, unlocking productivity gains, improving quality, and delivering measurable ROI.
See our platform in action and start automating your workflows in a secure and compliant way.
Past: Co-Founder & CEO of Arctoris, a successful pharma workflow automation company headquartered in Oxford, UK. Medical doctor (University of Freiburg in Germany), DPhil in Oncology (University of Oxford), MBA (The Wharton School). Rhodes scholar, Member of the Forbes Technology Council, elected Member of the Young Academy of the German National Academy of Sciences.
Past: Founding VP Data Operations of Redesign Science, a New York-based early GenAI startup. Before that, Associate Director (Data Science & Engineering), Novartis. Led the development of 120+ enterprise applications and AI workflows across highly regulated industries, including the entire pharmaceutical value chain (scientific, clinical, regulatory, etc.) from inception to production.
