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The fix is in a runbook. The runbook is in a thread from 2023.

Every answer an engineer needs already lives in a runbook, an architecture decision, a past incident, or the service's own API. SphereIQ makes it answerable in one place — cited to the source, and reachable from the coding agents your team already uses.

Three moments. One governed answer.

The same knowledge powers the review, the incident, and the morning handoff — so an engineer gets the same cited answer in the IDE, the incident channel, or Slack.

In review

Review against your own conventions

A diff reviewed against the standards your team actually wrote down — not generic advice from a model that has never seen your codebase.

↳ Consistent reviews, faster merges
In an incident

A timeline, not a scroll-back

The alerts and chat you paste in become a timestamped timeline, posted to the incident channel once someone approves it.

↳ Cleaner handovers and post-mortems
Every morning

What changed overnight

An on-call digest runs on a schedule and posts what changed to the team channel — nobody starts the day reconstructing the night.

↳ On-call that starts informed
All three read from one governed Company Brain — reachable over MCP, scoped to each engineer's access, and fully audited.

The answer was never missing. Finding it at 3 a.m. was.

Incidents don't drag on for lack of knowledge — they drag because the fix is in a runbook, the context is in an old thread, and the person who knows is asleep. SphereIQ makes the whole engineering record answerable, and only ships what it can cite.

MCP
Claude Code, Codex, and Cursor reach the Brain without a new runtime
Reads run, writes ask
An agent can call your API — anything that changes state asks a person first
Cited
Every answer traced to the runbook, decision record, or incident it came from

What engineering teams start with.

Deployment starts at mile ten: a model of your services, agent templates, and a Company Brain scoped to engineering — not a blank canvas.

Twin schema

Service & system Twin

Services, dependencies, owners, and incidents — system discovery and dependency mapping in one queryable model.

Agent templates

Engineering agents

Code review copilot, incident timeline, on-call morning digest, and an API helper over your own API — governed on every action.

Company Brain

Engineering knowledge

Runbooks, architecture decisions, post-mortems, and docs answerable in seconds — cited to the source.

Asked in every evaluation

Is this a coding assistant like Copilot or Cursor?
No — it's the knowledge and governance layer underneath them. Your coding agents keep their own runtimes and reach SphereIQ's Company Brain and governed tools over MCP.
Can an agent change things in our systems?
Only with a person in the loop. The API helper reads freely but asks before any write, and every approval is ledgered with the approver, timestamp, and context.
Does our code leave our environment?
Not with SphereIQ Private — it runs in your own cloud as Docker containers, updated with a blue/green deploy. SphereIQ Dedicated runs in a single-tenant VPC managed by Sphere.
Is SphereIQ SOC 2 certified?
Yes — SphereIQ is SOC 2 Type II certified, and secrets such as API keys, tokens, and connection strings are redacted at the wire by the Governance plane.
Where do engineering teams usually start?
The on-call digest for one team, or incident timelines for one service — a fixed-scope pilot before a wider rollout.

Great engineering is fast, consistent, and traceable. Now it can be all three.

Start with the on-call digest for one team, or incident timelines for one service. Then scale what works.