◉ how our platform solves this · aiops/infra
build it with us. run it yourself.
Watching infrastructure means a team that never looks away — alerts arriving faster than anyone can read them, drift between audits, the runbook step you run again at 3am, the answer always in the console you didn’t have open. The toil scales with the estate and the on-call is always tired.
◉ the answer
Agentic workflows run detect → correlate → remediate 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 — “detect the drift, correlate the cause, 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 classify a flood of alerts, a long-context model to read a drift report, a strong reasoner to judge whether an anomaly is real or noise — across the providers you register. Bring your own models and run them on your own infrastructure; the telemetry, topology, and config stays inside your network.
- MCP tools · OBO credentials
Agents reach Kubernetes, AWS, Azure, GCP, Prometheus, and infra-health checks 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 correlate signals across systems and stage a remediation — credentials injected at runtime, run in a hardened sandbox, then discarded. No tool is registered, nothing persists.
- AgenticWorkflows
The detect → correlate → remediate flow becomes a flow of named agents — repeatable, auditable, on rails. And there’s more behind sign-up: drift and config-compliance sweeps, multi-cloud capacity forecasting, and the auto-remediation runbooks — 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 change live infrastructure 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 ops tool, don’t wait for it
The little operations tool you keep putting off — Code Mode writes it on your stack, proven with tests and held at your review before anything runs. You stay on the work that needs a human; the agent clears the automation backlog you’d normally queue for months, so the team you have moves at a bigger team’s pace.
- 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. Drift and config-compliance sweeps, multi-cloud capacity forecasting, and the auto-remediation runbooks 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.