◉ how our platform solves this · devops/SRE
ship to any cloud. we run the platform.
The work is the point — but the ops drags behind every piece of it: the prep, the formatting, the checks before anything goes out, the same steps run again and again. It’s the work around the work, and it never finishes.
◉ the answer
Agentic workflows run incident-response runbook on your own infrastructure — against your own models — with a human on the gate for anything that acts, and the 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 state the goal in plain language — “triage the page, correlate the change, stage the fix.” ChatMode plans the work and dispatches its built-in agents — planning, data-query, validation, synthesis — to decompose it into pull, analyze, act, assemble. No prompt engineering, no scripts.
- 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, topology, and secrets in the logs stays inside your network.
- MCP tools · OBO credentials
Agents reach your clusters, cloud accounts, CI, registries, and metrics as MCP tools, each call running under your own identity. The platform forwards your scoped credentials per call — no shared token, no pooled service account, no secret pasted into a prompt. Every call is logged.
- Tool Synthesis · Code Execution
Sources never agree on format. Code Execution writes a one-shot Python tool on the fly to parse the logs, correlate the change, and stage a remediation script — credentials injected at runtime, run in a hardened sandbox, then discarded. No tool is registered, nothing persists.
- AgenticWorkflows · governance
The incident-response runbook becomes a flow of named agents — repeatable, auditable, on rails — with cost and execution guardrails on every flow: per-execution and daily budgets, execution limits, and an onBudgetExceeded policy that pauses the run rather than letting spend get away from you. And there’s more behind sign-up: capacity and cost forecasting, change-risk review on every PR, and the on-call deploy copilot — the many ways the platform runs this, with more revealed after you sign in.
- HITL approval
Nothing acts until you say so. The human-in-the-loop gate is real architecture, not a setting — any step that would touch production stops and waits for a person; if no one approves, it times out and is denied. You review the plan and the scope, and approve before anything happens.
- Code Mode · build the cross-cloud tool, don’t wait for it
The reconciliation script, the cost report, the multi-account tool you keep deferring — Code Mode drafts it against your stack and proves it with tests, gated by your review before it touches a provider. You stay on the topology and the trade-offs; the agent builds the glue you’d otherwise wait a quarter for, so a lean platform team runs more cloud without context-switching all day.
- 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 keeps sensitive material inside your network, and role-based access scopes who can do what. It’s a record you can stand behind.
The toil ran itself, it acted only on your nod, and the record is already written — and that’s one flow. Capacity and cost forecasting, change-risk review on every PR, and the on-call deploy copilot 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.