How CTOs should compare agent platforms
Memory SDKs, LLM observability, and managed Kafka each solve one slice. I/O Mesh is the operational data mesh for agents: department-scoped streams, connectors, fail-open publish, governed MCP, optional Agentic Memory Palace, and usage meters — so you own the learning loop when models change.
I/O Mesh gives your company a governed, department-owned data mesh for AI agents — so institutional knowledge compounds from live operations, not from another model subscription. With LoopCompound™ (Build · Steer · Compound), you own the learning loop: agents act on real work context, teams steer with portal and policy, and you measure lift before you scale spend — workflow advantage you keep when models change.
How we frame the category: LoopCompound™ methodology
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