Industries · Engineering

Decades of engineering knowledge, finally searchable.

Engineering firms carry enormous institutional knowledge: calculations, standards, previous designs, failure histories and client specifications. Most of it leaves with people. We build private knowledge systems and workflow automation that keep that expertise in the business and put it in front of the engineer who needs it.

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Where the time goes

The work that repeats, every week.

Standards, calculations and past project files scattered across drives and legacy systems

Senior engineers repeatedly answering the same technical questions

Estimating and quoting rebuilt from scratch when a near-identical job already exists

Technical documentation and compliance packs assembled manually for every handover

What we build for engineering

Less manual work. Better access to answers.

Custom RAG & domain LLMs

Reuse expertise from past engineering projects

Find relevant standards, calculations, previous designs and lessons learned through a private assistant, with sources for an engineer to check.

Custom RAG & domain LLMs

Find the right standards clause faster

Query internal procedures alongside client specs and industry standards, and see exactly which clause the answer came from.

Custom AI systems & agents

Prepare estimates without starting from scratch

Surface comparable past jobs, pull historic cost and duration data, and draft a first-pass estimate for the engineer to adjust.

Custom AI systems & agents

Less time assembling handover packs

Generate handover packs, method statements and reports from project data in your existing systems.

Project stories

What this could look like in your business.

Structural engineers · Cheshire

Past expertise, without another interruption.

An engineering practice with calculations and reports going back to 2011, filed differently by every engineer who wrote them. Graduates keep interrupting directors with the same questions.

A private knowledge assistant now indexes the archive, keeps the existing folder permissions and links every answer straight back to the source file it came from.

Older scanned drawings still give patchy results in places. The team reviewed retrieval quality together before relying on it for anything that matters.

Directors get fewer interruptions, and new colleagues find their own answers from day one.

What to measure

Agree the targets. Test the improvement.

These are measures for a pilot, not claimed client results. We agree your starting point and targets during discovery, then review the evidence with your team.

Knowledge access

Test whether engineers can find sourced answers without waiting for senior colleagues.

Quote turnaround

Compare the time to prepare an estimate using relevant past projects.

Handover effort

Measure staff time spent assembling technical documents and evidence packs.

Systems we connect

PLM & CAD registersSharePoint / network drivesERP & job costingStandards librariesClient specificationsHistoric project archives

Reduce copying between the tools you already use. We can work with any system that has an API or a database, with access and project scope agreed during discovery.

Go deeper

AI for engineering firms

How practices make decades of calculations and reports searchable without interrupting senior staff.

Other industries

Construction NDT & Inspection Hospitality Manufacturing Professional Services

Tell us what your team repeats every week.

We will help identify a focused pilot and agree how to measure whether it saves your team time.

Discuss your workflow Book a discovery call