The demo worked. Demos do.
“Ship it. The demo worked.”
Production is where the temperature drops.
Between a finished pull request and production sits everything a regulated enterprise answers for. An outage is lost orders. A breach is a disclosure letter. The audit is a calendar date.
87%
of AI-agent pull requests introduced at least one vulnerability
45%
of test tasks where AI-generated code introduced a security flaw
6.3M
orders lost to one ungoverned change at Amazon, in six hours
About 290 orders a second.
Speed that skips review is not speed. It is deferred incident response.
And ask the same agent tomorrow: a different system can come back. Speed you cannot repeat is weather, not climate.
Someone had to build a machine for this season.
The interview
You do not prompt the factory. The factory prompts you.
Intake agents interview your stakeholders, read your policies, and study the system you already run. They do not start building until they are confident they have enough to build something a regulator can question.
The questions land in one inbox. Your people answer when they can. The factory waits.
A factory, not a tool.
The factory takes hours. Sometimes days. On purpose.
Nine documents exist before the first line of code, each one yours to approve. The system is pinned by the documents you approve; the code implements them.
The real thing is further down this page. It is a screenshot, not a render.
Same artifacts, same published 22-check bar, every run. A delivery you can budget.
Agents improvise. Factories repeat.
Your developers keep Claude Code, Copilot, Cursor. The factory governs what ships.
Already have the code? Point the factory at it.
Same intent, same bar. 22 of 22. It repeats.
The build failed once on the way. The record shows that too.
The gate is ours. All 22 checks are published.
They map to what DORA, NIS2, and GDPR ask of a production system. The factory's job is to produce the evidence, check by check.
Receipts
A signed engagement in national critical infrastructure.
Your code stays in your GitHub, behind an App you can revoke. Your data stays in the EU, by policy. The answers your CISO will ask for
We tamed the cloud cowboys. The AI cowboys are next. Why we named the machine after a forest
Whatever number on this page you doubted: there is a receipt for it.
If your industry has a regulator, we built this for you.
Configured from your regulator's rulebook.
- Financial services
- Healthcare
- Defence
- Energy and manufacturing
- Public sector
Business intent in. Production software out. Fully governed.
The machine itself is on the product page.
Questions we get from enterprise buyers
What does Taiga actually deliver?+
An implementation package: application code, infrastructure as code, CI/CD pipelines, security checks in every build, as-built documentation, and an audit trail. A complete, governed production system, with the evidence to deploy it.
Which AI models does Taiga use, and where do they run?+
Anthropic Claude, served from EU regions through Amazon Bedrock. The full answer is on the trust page.
Does Taiga replace our AI coding tools?+
No. Your developers keep Claude Code, Copilot, or Cursor. Taiga is the governance layer above them: it specifies what gets built, checks it against policy, and keeps the audit trail. Complement, not competitor. See the incident file.
How is this different from an AI coding assistant?+
An assistant accelerates a developer. A factory delivers a governed system. We wrote up the full comparison, read it here.
Is Taiga ISO 27001 certified?+
Not yet, and we will not claim otherwise. We run an ISMS built to ISO 27001, and certification is in progress. Our current posture is public on the Trust page.
What does an engagement cost?+
Taiga is a subscription, priced on the outcomes delivered rather than seats or hours. Book a demo with a real project and you will leave with a concrete scope. The Data Processing Agreement and system description are available before you commit.
prod · 03:12 · no alerts· What a good week looks like.
Nothing happens. That is the product.
No bridge call, no disclosure letter, no lost orders. The audit is short. The pager is quiet.
operate loop · live
Bring one real project.
Our demo is held in winter conditions. You watch the interview begin on a real project of yours. 30 minutes, online, no slides.
Every number on this page has a source. The demo works the same way.
It does not announce spring. It just arrives.
Writing
Notes on building an AI software factory: governance, security, and what the coding tools actually ship.
One spec in. Six systems out.
We gave two coding agents the same frozen spec, three times each. Every system worked. No two matched. They diverged on authentication, dependencies, and how they stored data.
Read the articleBetter AI models haven't written safer code
Two years of flagship model releases barely moved the security pass rate for AI-generated code. Why waiting for a better model is not a security plan.
Read the articleThe off switch is not governance
Microsoft ordered engineers off the tool they chose. Uber spent its 2026 AI budget in four months. Cost is the only ungoverned AI risk that reports itself.
Read the articleGovernance debt and the 2027 deadline
The high-risk deadline moved to 2 December 2027. If a calendar date was the only reason you were building audit trails, the sixteen months are interest, not runway.
Read the article