Step away. Stay in control.

Companies directly supervise and audit fleets of AI coding agents working in their own repos. Humans just review PRs.

Request a walkthrough See the product

A clear view of the work

Everything your agents do.
In one place.

01 / See the whole fleet

Runs in flight, decisions waiting, and a standing supervisor. The project view brings the next move into focus.

02 / Follow every run

Start with a goal. Follow the plan, individual tasks, checks, and event trail. Nothing important disappears into a terminal.

03 / Know what needs you

A briefing turns activity into a short list of concrete decisions. Open the evidence, make the call, move on.

See a run unfold

NB project overview. — Actual NB screens, example project data.

Actual NB screens, example project data.

Inside a run

From activity to a decision.

The ledger and event trail for one run, embedded straight from the product as it advances toward a decision.

NB run view with the ledger and event trail.

How it works

A goal goes in. A review-ready pull request comes out.

One task at a time, supervised end to end. Follow the evidence from the first instruction to the change you review.

Fire

A ticket or a written goal lands, from your tracker or typed straight in. NB accepts it as the one thing to build next.

Plan

Turn the goal and your rule books into scoped tasks with clear acceptance criteria.

Work the tasks

Agents implement one bounded piece at a time in isolated workspaces. The ledger keeps the sequence visible.

Gate

Run the checks. Review the diff against the rules. Carry the verification evidence with the change.

Land

A pull request reaches you with its context intact. You review and authorize the merge.

Capabilities

Everything a supervised fleet needs, in one instance.

Boring on purpose. Each part does one job, in plain terms, so an operator always knows what happened and who did it.

Command console

A single-screen cockpit over every project and agent, with role-based accounts and a per-user audit trail.

Orchestration engine

Drives work one task at a time, all the way to a pull request: leasing, spawning, verifying, and committing without a human in the loop.

Conversational operator

A plain-language assistant that runs the board with you: a persona named for your organization, not a generic bot.

Rules and conformance gates

Every change is bound to your organization's own rule books, with automated gates at pull-request time.

Docs and specs at scale

Documentation and specification management that keeps the fleet grounded in what you actually intend to ship.

Brandable deployment

Containerized and white-labeled: your name, your operator persona, one environment switch from install to running.

Evidence, not a leap of faith

Built for founders running a fleet.

You should not have to read every terminal to know what is moving. NB keeps the work visible and the consequential decisions yours.

6example runs to explore

3example projects in the demo

1place to follow the evidence

Demo fixture counts, not customer or production results. Explore the real screens above.

Deployment model

Your instance. Your network. Your code.

A single-tenant, white-labeled instance in your cloud. NB runs where you run everything else, and your repositories stay under your control.

Tenancy: Single-tenant instance, one per customer.On your infrastructure, or ours. No shared control plane.
Access: Private-network only.No public application surface to expose or defend.
Providers: Your agents. Your providers.Seat-aware supervision across the tools your team uses.
Your code: Your repositories never leave your control.Agents work in your own repos and open pull requests there.

Point a fleet at your repos. Stay on the PR.

Tell us about your stack and your rule books. We will walk you through a single-tenant instance in your cloud.

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