◉ how our platform solves this · devops
run the race. we run the ops.
Incident response is a relay of toil — the page fires, you context-switch, you fan out across dashboards, you correlate the change that broke it, and you run the same remediation you ran last week, at 3am. Triage, capacity, on-call, change-risk, the post-mortem: it’s the work between the work, and it never sleeps.
◉ the answer
Agentic workflows triage, correlate, and remediate on your own infrastructure — against your own models — with a human gate on anything that touches production, and the post-incident record written as it goes.
◉ how we solve it · our process
- Chat — you state the goal in plain language; we shape the work with you.
- Flows — it becomes a repeatable workflow, on rails and fully auditable.
- Missions & Fleets — coordinated across as many instances as the job needs.
- Synth · Brainbow · Code Mode · Exec — the right tool spun up for each step: a throwaway utility, a driven browser, code run against your real systems.
- your ground, your gate — every step on your infrastructure, a human approving anything that acts.
◉ the mechanism · what actually happens
One request, walked end to end — every step on your infrastructure, against your own models, with a human on the gate.
- ChatMode
You ask what’s wrong in plain language — “triage the page on checkout-api.” ChatMode plans the incident and dispatches its built-in agents — planning, data-query, validation, synthesis — to read the alert, the logs, the recent deploys, and the live service health, then tells you what it actually found. One surface for the whole response, not a tab for every tool.
- SmartModelRouter
Each step is routed to a model that fits it — a fast model to skim logs, a long-context model to read a noisy incident timeline, a strong reasoner to judge blast radius and root cause — across the providers you register. Bring your own models and run them on your own infrastructure; the incident data, the topology, the secrets in the logs never leave your network.
- MCP tools · OBO credentials
Agents reach your estate as MCP tools — your clusters, your cloud accounts, your metrics — and every call runs under your own identity. The platform forwards your scoped credentials per call; no shared god-token, no service account everyone borrows, no secret pasted into a prompt. List nodes, pull cost by service, query Prometheus, run an infra health check — all as you, all logged.
- AgenticWorkflows
The runbook you keep re-running by hand becomes a flow of named agents: triage the page, correlate the signal across services, check the recent change, draft the remediation, stage the rollback. The toil runs itself, repeatably and traceably — and there are more flows behind sign-up: capacity and cost forecasting, change-risk review on every PR, the on-call copilot that answers “is this safe to deploy right now.”
- HITL approval
A remediation that touches production stops at the human gate. The human-in-the-loop gate is real architecture, not a setting — any acting step pauses and waits for a person, and if no one approves, it times out and is denied. You see the action, the blast radius, and the scope before it runs — restart the pod, drain the node, roll the deploy — and nothing happens until you say go.
- Code Mode · ship the tool, don’t wait for it
The pipeline tool, the migration, the integration sitting in the backlog — Code Mode moves it across plan, build, test, and your gate to ship, all on your own stack. You stay on the architecture and the release calls; the agent runs the delivery toil you’d otherwise queue or buy, so the team you have ships at the cadence of a larger one — and nothing reaches production without your nod.
- Audit trail · DLP · RBAC
Every model call, every tool call, every approval is written to an append-only audit log — once a decision is recorded it’s frozen, so the trail is tamper-evident. DLP masks secrets before anything is stored, and role-based access scopes who can act on what. The post-incident writeup isn’t a chore you do later; the record is already there to read, filter, and export.
The page is triaged, the fix is approved and applied on your nod, and the writeup is already written — and that’s one runbook. The on-call copilot, the cost forecaster, and the change-risk reviewer are waiting behind sign-up.
◉ go deeper
Run it on your own infrastructure — or with us.
Talk to us to see the platform on your stack — governance, fleet, support, and the enterprise capabilities. Or self-host the platform in your own environment and run the whole thing today.
The platform self-hosts in your own environment — chat, flows, and the ops MCPs. Fleet, Mission, CodeMode, governance and support come with the enterprise platform. Designed for FedRAMP-High deployment.