Let your teams work with agents, and keep a person on what matters.

For heads of engineering and software leads who decide how AI is used across teams. Engineers keep working in their tools; rules, approvers and budgets are set once.

For: Heads of engineering and software leads
Apps: Editor, Agents and CLI
Engines: Claude Code, Codex or Neural Inverse's own
Budgets: Per team, project, person or key
Approvals: A named person, never the requester

What you own

What engineering leaders answer for.

How work is delegatedWhich tasks agents take on, in which repositories, and which changes a person looks at before they land.

Review that keeps upAgents produce changes faster than people read them. Reviewers need every diff, and to know which lines AI wrote.

Spend across teamsModel usage grows with every team that adopts it, and limits have to be set and held per team and project.

Shared contextAgents and new team members both need the team's code, decisions and conventions, without seeing what they should not.

Release accountabilityFor every change that ships: who proposed it, what checked it and who approved it.

What Neural Inverse gives you

One way of working in every tool your engineers use.

Each row is a capability of Neural Inverse Build or Govern in use today.

Parallel agent sessionsStart several agent sessions, each with its own chat and changes, and read every file an agent changed as a diff before keeping it.Build · Agents

Reviewed line by lineCompletions, chat and proposed edits shown as changes to review before they are accepted. Deterministic checks run on every change; only your organisation's signed rules can block.Build · Editor

One policy for every engineClaude Code, Codex and Neural Inverse's own engine run in one agent host, and your organisation's rules apply to each and win over its own settings.Build · Agents

Governed steps in CIThe CLI runs non-interactively in scripts and CI with cost and time limits. Anything that would ask is denied, unless a signed approval of exactly that action is in the repository.Build · CLI

Named approversAn ask can go to up to twenty named people or teams who decide in one inbox, once or for the rest of the session.Govern · Agent policy and approvals

Budgets and rate limitsSpend or token budgets per team, project, person or key, by day or month. The worst case is reserved before a request is sent, so a hard limit holds.Govern · AI Gateway

Team contextSpaces of GitHub code and issues and shared team memory, served to the Editor, the Agents app and the CLI and checked for the person asking on every retrieval.Govern · Context for agents

How a change moves

How an agent's change reaches main.

Propose
An engineer or an agent proposes a change in the Editor, the Agents app or the CLI.
Decide
Each tool call, command, file access and host is decided by your organisation's signed policy.
Verify
Checks and your own tools run on the change. Only signed rules can block.
Approve
Where policy says so, a named engineer approves. Under an approval rule, enrolled approvers sign with re-authentication.
Record
Decisions, approvals and gate results go to the ledger. CI re-checks the exact commit.

For your auditor

What you can show an auditor, or a customer.

Records come from the tools themselves, as the work happens.

Which lines AI touchedA signed evidence pack for a release, a change or a time range: which lines AI touched, which model and context were used, who approved and what left the boundary. Anyone can verify one offline.

Approvals as signaturesAn approval is a signature record in the repository, with the signer's name, time, meaning and reason, verified by CI.

Agent sessionsA record of every engine's sessions and tool calls, and the approvals behind them.

Spend by teamEvery model request with person, project, model, tokens and cost, and analytics per gateway key.

Neural Inverse provides evidence toward the standards you report against. Certification stays with your organisation and assessor.

Still being built.

Listed so you can plan around it. None of it is part of what works today.

Domain modulesThe Editor's modules for firmware, FPGA, PLC, DCS, substation, mainframe and automotive work are pre-release, and nothing is verified by a customer yet. Embedded Linux is in early development. The verification state of each capability is published.

Talk to our team.

Neural Inverse is available by request. We work with your engineering, security and procurement teams from the first conversation.

Request access Contact us