omnibrain The only tool that measures engineers against the plans they committed to.

Teams plan in Omnibrain. Code ships through GitHub. Omnibrain connects every merged PR to the goal it serves, then shows you who delivers what they committed to, per engineer and per team.

Goal-aware PR review. Performance measured from merged code. Planning grounded in your architecture.

book_demo → see_pricing →

// scroll to explore

// the_problem

The gap between the plan and the code

Every quarter starts with goals and ends with a guess. In between, nobody can say how the work maps to the plan. Not the manager, not the engineer.

✗ Quarterly goals are set in January and never touch a PR

✗ Boards say "in progress" but nobody can say what actually shipped

✗ Estimates are theater. No one checks them against actuals

✗ PRs merge every day with zero connection to any plan

✗ Performance reviews run on visibility and vibes, not delivery

✗ The engineers who deliver quietly lose to the ones who present loudly

Another dashboard on top of the tracker won't fix this. The fix is connecting the plan to the code itself.

// what_omnibrain_is

Infrastructure that connects plans to code

It sits between your goals and your repositories. You plan against real architecture. Omnibrain matches every merged PR to the goal it serves and measures delivery automatically.

Not a dashboard bolted onto your tracker. It is the tracker,
with a brain underneath that measures from merged code.

Your goals, planned in the tracker: year → quarter → sprint

Your repositories: a live brain in each, updated at every merge

↓

Omnibrainone brain, every app

↓

PR review Performance dashboards Goal pace Planning agent Chat

// capabilities

What it does

[performance]

Engineer performance dashboards

Plan delivery rate. On-time rate. Estimate accuracy. Strategic alignment. Computed from merged code, per engineer, per team, per goal. Not from standups.

[review]

PR review with goal alignment

Every PR gets code-quality findings plus the goal it serves, with a confidence score. One comment, seconds after the PR opens. Authors can dispute any match.

[planning]

AI planning agent

Describe the objective. The agent asks clarifying questions, pulls code from your repos mid-conversation, and generates a goal → task tree grounded in your actual architecture.

[goals]

Goals, Tasks & Issues

First-class in the platform, not synced from a tracker. Goals nest by horizon: year → quarter → sprint → initiative. Statuses update on their own as work lands.

[context]

Multi-repo context engine

The layer underneath everything. An encrypted knowledge graph that spans every repository. Reviews, planning, and chat all draw on full-org context.

[chat]

Architecture-aware chat

Ask questions across your whole organization's code. Get answers with file paths, line numbers, and dependency maps. Not summaries. Specifics.

learn_more →

// code_review_highlight

Code review that knows what the work is for

Omnibrain reviews every PR for quality, then tells you which goal the change serves, with a confidence score. One comment, seconds after the PR opens. It updates in place on every push, never a duplicate.

github.com · pull request #847 · payment-service

omnibrain[bot] commented 5 seconds after the PR opened

Goal alignment

Matches: Migrate payments to Stripe Connect · confidence 0.91

→ Linked task: Route intents through connected accounts (est. 10d)

→ The author or the goal owner can dispute a wrong match in one click.

Code quality

ERROR PaymentIntent type changed: 4 consumers break

→ api-gateway/src/handlers/checkout.ts:84

→ mobile-app/src/services/payment.swift:127

WARNING /api/payments/refund missing rate limiting and input validation

INFO Direct DB query in handler. This repo uses the repository pattern

1 error · 1 warning · 1 info · same comment updates on every push

Other tools see the diff. Omnibrain sees the diff, the blast radius, and the plan.

// the_scoreboard

Delivery measured, not narrated

Four numbers per engineer, team, and goal. Scored by Omnibrain's proprietary performance algorithm on every merged PR.

Omnibrain team dashboard: plan delivery 74.9%, strategic alignment 84.6%, 203 of 267 tasks completed across 15 engineers, above a goal tree. — Real product. Sample org.

Engineers see every match and can dispute any of them. Measurement, not surveillance.

// quick_start

Running in 3 minutes

terminal

$ npm install -g omnibrain

$ omnibrain init

→ Scanning 3 repositories...

→ Building knowledge graph...

→ Mapping cross-repo dependencies...

✓ 34,291 symbols indexed

✓ 8,102 relationships mapped

✓ 3 repos connected

$ omnibrain serve --port 8080

✓ Context API live on :8080

✓ MCP endpoint ready

✓ HTTP endpoint ready

Install

One command. Any platform.

Initialize

Point at your repos. Graph builds automatically.

Connect

Every tool hits the same context API.

// enterprise_security

Built for teams that can't compromise on security

Dedicated deployment

Enterprise

Bare metal, single tenant: a dedicated section of a Qardel datacenter, or on-premise inside your own perimeter, air-gapped if you need it. No shared cloud.

AES-256 encrypted

Knowledge graphs encrypted at rest. You hold the keys. We never see them.

RBAC + SSO

Business+

SAML 2.0, OIDC, LDAP. Map org groups to repo permissions. Basic role control ships on every plan.

mTLS everywhere

Enterprise

Mutual TLS between every service. Certificate pinning. Zero trust.

Any LLM, your call

Route to GPT or Claude if you want them, or keep every token on open-weight models running on hardware we provision. One or the other, never our lock-in.

Audit trail

Business+

We log and sign every query, every access, and every context retrieval.

// beyond_the_platform

Infrastructure and engineers, when you need them

[ai_engineering]

AI engineering

Advanced AI and machine learning systems, designed and built for your business. Trained on your data, shipped to production, and owned by you outright. Starts with a free systems review and a scoped proposal.

[bare_metal]

Private LLM infrastructure

Your own models on bare-metal GPU servers in Qardel datacenters. The section is yours alone, single tenant. Prompts, code, and weights never touch a public AI API or shared cloud.

[consulting]

Engineering consulting

40 senior and lead engineers, including 5 software architects, who design and build serious systems inside your company. They work on private LLMs we pay for. Your code never touches a public AI API, and the AI bill is ours.

explore_services →

Plans are commitments. See who keeps them.

book_demo → see_pricing →