AI-assisted code can reach PRs before requirements, reviews, tests, and release evidence catch up. NOLD AI helps CIOs and engineering leaders see where traceability is breaking – and decide what to fix first.
Start here when an AI pilot has stalled before production, a migration exposes undocumented behaviour, or a release decision needs evidence.
Two focused products for developers and organisations building with AI. Choose the question you need to answer.
Review AI-assisted code before drift reaches PR or main.
An open-source CLI for developers and teams who need evidence that AI-assisted code matches their intent.
FinOps for AI-assisted software changes.
In development: a tool to estimate and reconcile the cost of completing a software change, with token economics built into the approach.
Estimation is not yet available. Public source release is planned.
Visit ChangeCost →Two working days. One team. One repository. You receive an evidence report with observed risks and prioritised next decisions.
We trace requirements, code review, tests, and release controls through one real delivery path. The report shows where evidence is missing, inconsistent, or difficult to recover.
If the evidence points to a wider delivery or governance decision, that next step is scoped separately after the diagnostic – not as an open-ended transformation programme.
Fixed scope: deliverables and fee are agreed before work begins.
NOLD AI combines focused software with advisory for organisations making AI-assisted software delivery dependable.
Founded by Dominikus Nold, we help leaders turn uncertain delivery questions into evidence they can act on. SpecFact brings that discipline to code review; ChangeCost is developing it for the economics of AI-assisted changes.
Based in Germany, we build privacy-respecting, open-source tools and keep advisory work scoped to the decision at hand.
We begin with the real workflow or repository – not a generic playbook.
SpecFact is Apache 2.0 licensed. Inspect it, adapt it, and keep control of your workflow.
No tracking or telemetry by default. Your code stays on your machine.
To discuss a diagnostic, SpecFact adoption or a ChangeCost pilot:
hello@noldai.comFor SpecFact technical support, please use GitHub Issues.
