Real-time
Signed events you can consume from department-owned mesh streams after the first event lands.
Product
A governed operational data mesh. Not a copilot skin.
Live SaaS, docs, and metrics become department-scoped data products. Agents consume them through policy-gated MCP tools under team tenancy.
I/O Mesh is the context plane — the heartbeat after a source, a stream, and a signed event. It is not a replacement for observability (Datadog, Grafana), incident command (PagerDuty, incident.io), issue tracking (Linear), or a workspace (Notion). It is not an MCP gateway or agent control plane product. Still not another chat window, and not a company-wide vector dump.
- Ready now: live operations mesh, signed events, policy-gated tools, paid workspace.
- In private eval: longer-horizon institutional patterns. Analytics stays Beta.
- Local and free: MIT memory kernel and TUI. Local recall is not hosted Memory GA.
context://mesh · sre.incidents · policy-gated MCP
Heartbeat
18 / min
- 14:02:11opssre.incidents
P2 opened — checkout p95 1.8s
Signed from pager. Team tenancy: sre.oncall
- 14:02:18opseng.ops
Deploy v2.14.3 → prod-eu
Heartbeat linked to runbook RB-441
- 14:02:24opscs.tickets
Enterprise ticket · latency on checkout
Scoped to cs.enterprise — not a global index
- 14:02:31knowledgesre.incidents
Recall: similar p95 in Mar
Institutional memory of last quarter
- 14:02:39analyticsgtm.pipeline
Renewal risk +12% this week
Pattern across heartbeats
This is a demo of the console heartbeat. Your org shows this after the first signed event on a mesh stream.
Multi-horizon intelligence
Short-term
Hours to days of stream history and rolling operational context.
Long-term
Analytical history and institutional patterns over weeks to years, under team tenancy.
How I/O Mesh works
I/O Mesh is a governed operational data mesh, the context plane behind production agents. These five sentences walk from a pulse to a workspace.
Heartbeat, not a chat window
Agents keep time from signed events, not from a chat window.
The mesh is the record
When the mesh took the event in, that is what the agent cites, not the chat.
Department keys
Your team shares one mesh, keyed by department and policy, not a private computer per bot.
The tools you already run
Connect PagerDuty first when the buyer owns incidents. GitHub second for the change that usually caused the page. Slack waits. Heartbeat after a source, a stream, and a first signed event.
First event, then a workspace
Connect a source, open a stream, and land one event. Then create a workspace. Base from $132/mo.
Workflow maps
Workflow maps: Incident RCA, Platform SRE, Account health, Finance analytics. Private evals on your facts under department tenancy. No public lift percent. No logos.
Incident RCAPlatform SREAccount healthFinance analytics
Incident RCA
When the page fires, the incident, the change, and the notes often live in different tools. Wire the pager pulse and the change pulse, then drop RCA notes you already wrote. If the digest cannot name all three, it says so. Private evals only. Not a PagerDuty replacement.
Platform SRE
Deploy and incident narratives on one record. Connect the service that pages you and the repo that shipped the change. Private eval: time to a linked pull request and how complete the root-cause write-up is. Not a Datadog replacement.
Account health
When CRM and support streams exist, agents read health and support burden under the same tenancy rules as ops. A catalog name is not Connected. Private evals on your facts. No renewal lift percent. No logos.
Finance analytics
Governed metric views with freshness and lineage when that path is allowed. Not unconstrained warehouse SQL inside prompts. Private evals only. No board ROI claim.
Build · Steer · Compound
Nested learning loops on the mesh. You prove workflow lift on operational facts, then scale inference. The loop is yours — it grows under your control.
Self-serve · live today
Prove lift before you scale inference.
Base from $132/mo. Self-serve after payment. Heartbeat after source, stream, and first event.