Make software engineering repeatable.
One governed engineering process, from requirement to merge: independent planning, a blind review panel across models, and quality gates decided by code rather than confidence. People stay accountable for the decisions that matter.
- Plan3 architects on Claude, DeepSeek and CodexConsolidated
- BuildImplemented in its own workspaceDone
- Review round 1CCCXDIBAN reaches the server logChanges requested
- Severity gate2 must-fix findingsRework
- Review round 2CCCXDIBAN echoed by the error pageChanges requested
- Severity gate1 blocking findingRework
- Review round 3CCCXD5 of 5 approveApproved
- Pull requestRaised with the review recordRaised
- Claude Code
- OpenAI Codex
- Gemini
- DeepSeek
- Qwen
- Kimi
- GitHub
- Azure DevOps
- Bitbucket
- Jira
The product · in 76 seconds
1:16Brunelly, from story to merge
Plan, context, your engines, blind review, the gate, the pull request, policy at merge and the record.
Why Brunelly
AI made code cheap. Acceptable software is still expensive.
Teams prompt, inspect and coordinate every model by hand, and quality depends on who was at the keyboard. Brunelly turns that into a process.
- Lean teams
Ambitious plans, lean engineering
Product owners and junior teams already ship AI-built applications. Assure, improve and extend them without building a senior engineering organisation around every project.
- Regulated
Established standards, real consequences
Accelerate delivery without bypassing the standards, approvals and accountability already in place.
- DIY
The home-built AI factory
Markdown specs, repo rules, hand-wired review agents: all yours to integrate, maintain and govern. Brunelly is the process, ready to run.
The process
One governed engineering process. Every change, every time.
AI does the work and makes the judgements. Software decides the workflow and the acceptance rules. People stay accountable.
- Peopleaccountable
- AIdoes the work
- Softwaredecides the workflow
- 01
Requirements and context
Stories, acceptance criteria, your standards and architecture decisions.
- 02
Independent plans
Three architects plan separately, on different engines; one plan comes out.
- 03
Implementation
Built in its own workspace, with its own Docker for services and tests.
- 04
Blind review panel
Up to ten reviewers, each with its own lens and model, in parallel.
- 05
Severity gate
Code, not model confidence, decides whether the change goes back.
- 06
Automatic repair
Blocking findings are fixed and the whole panel reviews again.
- 07
Pull request
Raised on your repository, with anything unresolved disclosed.
- 08
Code Assurance
Six-lens assurance on the exact commit that would merge.
- 09
Policy-gated merge
Your organisation’s policies decide whether it can merge.
- 10
Audit evidence
Every decision in a tamper-evident trail you can export and verify.
The platform
Everything the work needs. Governed end to end.
Each part of Brunelly has its own page. Start wherever your question is.
One governed process
Plan, build, review, gate and merge, the same way for every change.
Blind review across models
Up to ten reviewers on the engines you choose. A rule, not confidence, decides.
Code Assurance
Six lenses on any codebase or pull request, including code you did not write.
Planning and context
Boards, sprints and stories checked before work starts, with your codebase documented.
Your engines, your keys
Claude, Codex, Gemini and more, on your own model accounts if you prefer.
Policies at merge
Your rules evaluated at the exact commit, with every exception on the record.
Evidence that verifies itself
Every decision hash-chained, sealed and exportable for an auditor.
Security and trust
Keys per tenant, least-privilege access, and your models inside your boundary.
Proof, not a promise
Two security reviewers. Two vendors. Only one caught the leak.
A recorded run on a synthetic payments API. Five reviewers worked in parallel, blind to each other. The one on a different vendor found what the others passed, proved it, and the gate made sure it was fixed.
- architects on three engines
- 3
- reviewers across three vendors
- 5
- review rounds
- 3
- automatic repair rounds
- 2
- first plan to pull request
- 1 h 47 m
- CCorrectnessClaudeApprove
- CSecurityClaudeApprove
- CQualityClaudeApprove
- XSecurityCodexRequest changes
- DGeneralistDeepSeekApprove
Governance
Your engineering standards, enforced at merge.
Engineering rules stop living in documents and good intentions. Brunelly evaluates them against the exact commit that would merge, records every decision, and makes exceptions accountable.
- Policies at every level: organisation, project or branch
- Findings are dispositioned, not hidden
- Overrides need a permission and a written reason
at f519425- ✓Code Assurance present and current at headMet
- ✓No undispositioned finding at medium or aboveMet
- ✕Two human reviewers, one a code owner1 of 2 approvalsNot met
- ✓Separation of duties: author cannot approveMet
- ✕Release freeze on release/**Freeze active until 4 NovNot met
Org rule · pinnedCase study · Chauffeur app, UAE
Remediating tech debt. An inherited 180,000-line codebase, under control.
A live product, unfamiliar to the team and idle for five months. Brunelly read a system it had not written, worked through a queue of production defects, and stopped at a person for acceptance every time.
More demos- items delivered
- 31
- active delivery days
- 5
- median, brief to dev complete
- 72min
- pull requests merged, of 32
- 30
- 15
- 16
- 17
- 18Weekend
- 19Weekend
- 20Inactive
- 21
- 22
Who it is for
Built for the people who answer for the software.
- Group CTO
Lean enterprise technology team
Product owners and junior teams are already building software; expert assurance is scarce.
Quality and consistency, without giving up the throughput AI brings.
- VP Engineering
AI-adopting engineering organisation
Teams experiment with agents, but production delivery still needs senior supervision.
Repeatable, reviewable delivery of real software.
- CTO, CIO, governance lead
Regulated organisation
Standards, risk controls and supplier policies must apply to AI-generated change.
AI productivity inside enforceable rules.
- Security, risk, assurance
Second and third line
You need evidence of what was checked, who approved it and why.
Inspectable decisions and audit evidence you can verify.
Pilots
Start with one problem that matters.
Deployment, support and integrations differ for every organisation, so pricing is tailored too.
- 01
Scope
One engineering problem that matters, and the KPIs that will decide it.
- 02
Run
Brunelly on your repositories and work items, with your standards and model accounts.
- 03
Decide
Measured against how your team works today, with a clear path to a decision.
Get started
Make software engineering repeatable.
Every engagement starts with a scoped pilot on one problem that matters, measured against how your team works today.