Real-time
Current pulse rates and live stream state from department-owned operational heartbeats agents can subscribe to under MCP policy.
Production agents need a heartbeat. Not another chat window.
Production AI agents need a heartbeat — not another chat window or company-wide vector dump.
Give Platform and SRE teams an operational mesh to own AI learning loops on real operational heartbeats — PagerDuty, GitHub, and Friday notes on disk. RevOps and CS read the same record, later. They are not a first-ten hero.
I/O Mesh is a product company: the mesh, the console, and the MIT edge tooling are the company. We do not sell implementation hours as the SKU — not a solutions integrator, and not staff-augmentation.
Local recall on your machine is the free MIT memory kernel and TUI — on disk, under your control. The paid mesh is the department heartbeat plane. New sign-ups for hosted plans are paused. Cloud Memory is a hosted add-on beside time-to-first-heartbeat, listed separately from free local memory. A name in the directory isn't a live connection yet. Buyer-facing examples stay free of live staging endpoints.
- Local
- optional · catalog
- Talk to us
- New sign-ups for hosted plans are paused.
- Ops · knowledge · analytics
- Production edge live
- Usage-based pricing
We build the governed operational mesh for production agents
Not a chatbot company or vector-dump RAG theater. We build the governed operational mesh so Platform and SRE own learning loops on real organizational heartbeats. RevOps and CS are later readers on the same record — not a first-ten hero.
Full organizational heartbeat: live operations, knowledge memory, and analytics patterns — department-scoped, policy-gated. About is the company thesis: durable context from real work, not another model subscription.
Multi-horizon intelligence is the company thesis
Live ops pulses, knowledge memory, and analytics patterns feed a shared context plane. Agents work across real-time, short-term, and long-term horizons.
Short-term
Hours to days of stream history and rolling operational context—recent tickets, deploys, and stages.
Long-term
Analytical history and institutional patterns over weeks to years, under team tenancy.
The full organizational heartbeat — three connected signals
One fabric, three signals: live operations, knowledge, and analytics — department-scoped, policy-gated.
Live operations
Tickets, incidents, deploys, and customer updates, organized by team. The primary heartbeat a reviewer can see after a source, a stream, and a signed event.
Knowledge
Docs, runbooks, and memory of past heartbeats. What previous activity meant. Reviewers can open this layer in the product; do not chip it as a readiness label.
Analytics
Patterns and trends across heartbeats so agents see beyond the moment. Same rule: describe the layer, do not chip a status.
What we build
I/O Mesh is the governed operational data mesh and context plane for production agents. Domain teams publish live ops and knowledge as department-scoped products. Agents consume them through policy-gated tools.
Prove workflow lift on your data in private evals before scaling inference.
Why teams choose I/O Mesh
- Clear scope: context plane + ops mesh — not a chat UI or model SKU
- Private evals on your data before you scale inference
- Department tenancy and policy gates that survive model changes
- Local MIT memory is open source and runs on your machine.
- HIPAA readiness mapping and audit trails — readiness, not blanket certs
Our vision
The real moat in AI is not the next model — it is governed context that compounds knowledge from your own workflows while keeping humans in charge.
I/O Mesh turns SaaS and operational data into department-owned products agents can reliably consume, with private-eval measurement and enterprise governance baked in.
Platform and SRE building incident agents on PagerDuty and GitHub keep a durable advantage that survives the next model release. A RevOps or CS team preparing QBRs reads that same record, later — a later recipe, not a first-ten hero.
Company
IOMESH Technology Ltd. is based in Vancouver, BC. Founded by Jin Lee.
Jin Lee: /founders · https://www.linkedin.com/in/freshmatrix/
I/O Mesh: https://www.linkedin.com/company/iomesh-technology · hello@iome.sh
Public tooling is on GitHub.
I/O Mesh (iome.sh) is the operational mesh and context plane for production AI agents.
Ready to learn more?
Talk to us, explore the platform, or review open-source tooling on GitHub. Platform and Security pages are the living brief for program reviewers.
© 2026 IOMESH Technology Ltd.