INFRAMATIC
Born AI. Built for Assurance.
Making AI auditable, traceable and standards-compliant.
AI has entered engineering.
There is no assurance layer.
Standards are written for people, not machines
Engineering standards are authored in natural language — written for human judgement, not machine processing. AI cannot reliably interpret cross-references, conditional clauses, or domain notation without a structured representation.
Manual checking doesn't scale
Only a fraction of design outputs are checked against the governing standard. Compliance takes significant effort — and gaps still slip through.
Compliance trails are fragmented
Audit evidence exists, but it's spread across documents, spreadsheets, and email chains. Regulators and clients expect joined-up, traceable records — not a patchwork.
We make engineering standards work for AI — and AI work for engineering.
Inframatic structures engineering knowledge as machine-readable graphs and checks design outputs clause-by-clause against the governing standard. Higher quality, automated checking, with human oversight at every step.
Working with the organisations that set the standards.
Thought Leadership
Engineering intelligence from the team building the assurance layer for AI.
Bridging the Divide: How Civil Engineers Can Collaborate Successfully with External AI Providers
Read articleBridging the Divide: How Civil Engineers Can Collaborate Successfully with External AI Providers
Successful AI adoption requires clear scope, quality data, strong communication, and a technical translator bridging the gap between engineers and AI providers.
Read articleYour safety culture is an AI advantage — start using it
Read articleYour safety culture is an AI advantage — start using it
Strong safety cultures — with their emphasis on rigour, traceability, and accountability — give organisations a natural advantage in adopting AI. The discipline that makes infrastructure safe is the same discipline that makes AI trustworthy.
Read articleThe knowledge revolution in civil engineering: are you prepared?
Read articleThe knowledge revolution in civil engineering: are you prepared?
AI-driven knowledge models will transform civil engineering, but firms must overcome poor AI literacy, skills gaps, data challenges, and business model disruption to compete.
Read articleDifferent problems.
One assurance layer.
AI has entered engineering. The standards that govern safety, compliance, and quality were not written for it. The consequences depend on where you sit.
