Redouble AI

Redouble AI's Silverlake is an enterprise operating system for building and running multi-agent AI systems natively in Java. Designed for organizations with large Java engineering teams, it lets engineers define agents in as few as 30 lines of code, with the platform handling orchestration, scaling, permissions, and observability. Silverlake unifies runtime, agents, and tools in a single process, achieving up to 5x higher throughput than Python-based agentic frameworks and running over 1,000 agents in parallel on a single mid-sized cloud instance. Connectivity spans the entire enterprise stack: modern endpoints like MCP (STDIO + HTTP), A2A, REST, and OpenAPI, plus legacy databases, filesystems, scanned archives, and gated paywalled APIs. It leverages the same Java libraries, credentials, and access controls your apps already use. Security is foundational with deterministic guardrails, zero-trust agents, RBAC + ABAC, typed tool contracts, and incorruptible domain objects. Every agent action is logged with full reasoning for auditability. The platform is cloud-agnostic (AWS, Azure, GCP, on-prem, hybrid, air-gapped) and model-agnostic, supporting any frontier or open model via Bedrock, Vertex, or your own. Adding new agents is free, and the unified runtime dramatically reduces token costs. Silverlake continuously learns from human overrides and edits made during production, deepening the enterprise's competitive moat. Redouble AI targets organizations with 12 million Java engineers worldwide who need to deploy agentic AI in production with enterprise-grade security, auditability, and cost efficiency. Unlike Python-first managed runtimes, Silverlake is the only Java-native agentic OS combining runtime and authoring framework, purpose-built for enterprise infrastructure and governance.