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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Redouble AI
Redouble AI

Redouble AI

Founded by Martin Bittner in 2024

Build and run autonomous agents natively in Java across your existing infrastructure

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Demo

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★ People love it

Time to value

Requires Expertise

You can use Redouble AI to build, deploy, and manage autonomous agents using native Java. It connects directly with your existing enterprise databases, APIs, filesystems, and security systems without rewriting code in Python. You can establish deterministic guardrails outside the model to enforce role-based permissions, data access controls, and validation rules. It captures full reasoning logs and audit trails for every decision your agents make. By running agents, runtimes, and tools in a single unified process, it handles high throughput while reducing token consumption.

What Redouble AI does

Define agent objectives, tools, and guardrails in JavaConnect agents to internal databases and external APIsInspect immutable audit logs for agent decision-makingEnforce role-based access controls on agent tool callsDeploy agent workloads to private or hybrid cloud clustersReduce token usage through context compaction and field summarizationNative Java runtime and authoring framework for building autonomous agentsDeterministic code-level guardrails implemented outside LLM promptsSupport for Model Context Protocol (MCP) via STDIO and HTTPUnified process execution running agents, runtime, and tools togetherAutomatic context compaction and token cost reduction featuresImmutable audit logging capturing full decision reasoning and lineageZero-trust role-based and attribute-based access controls

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Pricing model: Book a demo

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Redouble AI, Silverlake, Java agentic AI, enterprise AI, AI agents, Java runtime, deterministic guardrails, zero-trust agents, audit logs, Model Context Protocol, MCP, enterprise orchestration, agent runtime, LLM observability, token optimization, biopharma AI, financial services AI