SUCCESS STORIES

3D Search
Gave a design team the ability to search existing parts by shape, so proven designs get reused instead of rebuilt.
Object Detection
Introduced automated object detection so routine manual checks no longer depend on someone spotting them.
ISO Certified
Helped a manufacturing client obtain ISO certification, boosting their market credibility and aligning with global standards.
Team Growth
Grew an in-house team of CAD, PLM and AI specialists who work on your systems, not around them.
Staffing Success
Placed specialist engineers into roles a client had struggled to fill, so a stalled programme could move again.
CAD Automation
Automated the repetitive steps in a design release process, freeing engineers for the work that needs judgement.
Problem Solving
Resolved bottlenecks in a manufacturing process by automating the checks that were holding up release.
AI in CAD
Brought AI-assisted checking into a CAD workflow so design errors surface before approval, not after.
Niche Resources
Supplied hard-to-find domain specialists so a complex programme could be delivered without compromising on quality.
Vision for Quality
Built computer vision inspection into a production line so defects are caught consistently rather than by sampling.
Private AI
Developed a custom AI model that improved diagnostic consistency and removed manual processing steps.
3D Search
Gave a design team the ability to search existing parts by shape, so proven designs get reused instead of rebuilt.
Object Detection
Introduced automated object detection so routine manual checks no longer depend on someone spotting them.
ISO Certified
Helped a manufacturing client obtain ISO certification, boosting their market credibility and aligning with global standards.
Team Growth
Grew an in-house team of CAD, PLM and AI specialists who work on your systems, not around them.
Staffing Success
Placed specialist engineers into roles a client had struggled to fill, so a stalled programme could move again.
CAD Automation
Automated the repetitive steps in a design release process, freeing engineers for the work that needs judgement.
Problem Solving
Resolved bottlenecks in a manufacturing process by automating the checks that were holding up release.
AI in CAD
Brought AI-assisted checking into a CAD workflow so design errors surface before approval, not after.

Why engineering teams work with us

Most of what we build starts the same way: a task an engineer repeats on every programme, that follows rules clear enough to automate but detailed enough to get wrong by hand.

Built inside your environment

Automation and AI are developed within your working environment and integrated into the CAD and PLM ecosystem you already run. Your product data does not move to somebody else's platform to be useful.

No per-user licence

You are not buying seats. Solutions are delivered on a one-time development cost, so the value does not shrink each time you add an engineer to the team.

We know the standard, not just the software

Automating a regulation check means understanding the regulation. Our work spans lighting, head impact, external projections, field of view and direct vision requirements — the engineering intent behind the rule, not only the geometry.

Across the whole toolchain

Native automation for CATIA, NX, CREO, AutoCAD and Solid Edge, and PLM work across Windchill, Teamcenter, 3DEXPERIENCE and Enovia — including the CAD, ERP and application integrations between them.

Support does not stop at handover

Tools meet real models, real edge cases and changing standards. Issue resolution and enhancement are part of the engagement, not a separate contract negotiated after something breaks.

Engineering-led, not script-led

The people writing the automation understand the design problem underneath it. That is why the output respects draft, clearance, bend radius and manufacturability instead of simply producing geometry that satisfies a macro.

Selected engagements

Client work is described by sector rather than by name. We do not publish customer identities or their product data.

Commercial vehicle manufacturer

Regulation checks across a growing variant matrix

The situation: Lamp position, visibility and non-visibility had to be verified against lighting regulations for every variant in the range. Each new combination multiplied the checking work, and the checks were repeated by hand every time the styling moved.
What we built: We automated the verification directly in CAD, so position and visibility conditions are evaluated against the regulation for each variant, with the result reported rather than interpreted case by case.
What changed: Compliance checking became a repeatable step in the design loop instead of a bottleneck at the end of it, and stayed consistent as the variant count grew.

Interior systems supplier

Design-release checks on plastic trim parts

The situation: Every trim part release required the same sequence of manual checks — draft, curvature, wall thickness, sink mark risk, locator clearance, weak plastic conditions. Different engineers applied them slightly differently, so quality depended on who did the release.
What we built: We built the whole checklist as automated analyses with colour-coded output, each one comparing the model against the permitted minimum and reporting where it falls short, with results exported as an editable report.
What changed: The same standard is applied to every part regardless of who releases it, and issues surface while the geometry can still be changed cheaply.

Plastics tooling team

Mould design tasks that repeated on every programme

The situation: Ejector pin layout, entry surface creation and scrap cutter geometry were rebuilt manually for each tool. The work was repetitive, and mistakes in it were expensive because they showed up after the tool had been cut.
What we built: We automated the geometry-heavy steps: entry surfaces generated from the dieface and trimline, scrap cutter bodies constructed to the correct cutting alignment, and ejector pins distributed across detected safe areas while avoiding ribs, bosses and cosmetic surfaces.
What changed: Tooling engineers spend their time on the decisions that need judgement and less on reconstructing geometry that follows fixed rules.

Vehicle packaging team

Tube, hose and harness routing in crowded assemblies

The situation: Routing was manual and had to be redone whenever surrounding components moved. Bend radius limits, clamp spacing, branch management and clash checks all interact, so a late packaging change meant reworking the route from the start.
What we built: We automated routing from defined start, end and support points, respecting diameter, thickness and bend radius, checking interference against neighbouring components and placing corrugated sections and clip positions correctly.
What changed: Routes can be regenerated when the packaging changes rather than rebuilt, so a late change no longer costs the whole routing effort.

Engineering design office

Drawing checks that no longer depend on attention span

The situation: Checking drawings against standards — dimensions, annotations, GD&T, revision and title block correctness — is detailed work where accuracy naturally drops as the set gets longer. Errors that slipped through were found downstream.
What we built: We built an AI-assisted drawing check that compares a drawing against a master and against the applicable design rules, highlighting differences and non-conformances rather than relying on someone to spot them.
What changed: The last drawing in a long set is checked as carefully as the first, and errors are caught before release rather than after.

Semiconductor equipment manufacturer

Vacuum hardware built to standard, repeatedly

The situation: Flange design meant creating bolt hole patterns, counterbores and threads, placing hardware and holding pitch circle diameter and edge distances across a great many holes per assembly. O-ring glands had to hold the right compression ratio — a small dimensional error means a leak, and a leak means downtime.
What we built: We parameterised both: flange patterns generated as a complete set to the applicable vacuum standards, and O-ring grooves generated against standard gland dimensions rather than calculated by hand each time.
What changed: Standards compliance is built into the geometry rather than checked afterwards, and sealing design stops being a source of rework.

If one of these sounds like your team, the conversation usually starts with a single task and what it currently costs you.

Start that conversation

Frequently asked questions

Why are your clients not named?

We do not publish customer identities or their product data. Engagements are described by sector so the engineering problem and the approach are clear without disclosing who we worked with. We treat your programme the same way.

How does an engagement usually start?

Almost always with one task that an engineer repeats on every programme — a check, a geometry build, a report. We look at what it costs today, what rules it follows, and whether those rules are consistent enough to automate reliably.

Who owns the automation you build?

It is developed inside your working environment and integrated into your existing CAD and PLM ecosystem, on a one-time development cost with no per-user licensing. Support for issue resolution and enhancements continues after handover.