AI for Critical Infrastructure.
DeepMechanix automates the calculation- and document-heavy engineering behind plant design and EPC. We start where the rules are most explicit — ASME pressure vessel design, every result cited to its Code paragraph.
A look at the workflow — from spec to design
Datasheet & design conditions in.
Representative — illustrative
Built by engineers from
Spun out from Octave
The physical world is bottlenecked on engineering, not ambition.
“Almost every hard problem the world faces — energy, water, climate, supply chains — eventually maps onto infrastructure that has to be engineered, checked, and built. And that engineering still runs like it’s 2005.”
The engineering behind a plant is enormous, safety-critical, and almost entirely manual. Calculations live in spreadsheets no one can audit. Compliance is checked by hand against standards. Every revision re-triggers a cascade of rework, and the hard-won judgement walks out the door with the engineer.
DeepMechanix is the intelligence layer for that work — codifying the engineering so it runs in seconds, stays traceable to its source, and keeps pace with the revisions that define real projects. Make the engineering cheap and fast, and the world can build the infrastructure it actually needs.
Better infrastructure design closes the loop — for AI and for the engineers who run it.
Encode the judgement.
Every code clause, every worked example, every reviewed result becomes structured engineering knowledge the system can reason over — not a PDF in a drawer.
Compound the leverage.
Engineers stop re-deriving and start directing. The same hour now ships a checkable design instead of a single spreadsheet tab. Output per engineer climbs.
Feed it back.
More designs, checked and cited, sharpen the models — which let engineers tackle harder infrastructure — which generates more engineering to learn from. AI and humans improving each other, through the physical world.
An engineering intelligence layer.
Three things, built to work together — encoded engineering, traceable documents, and a fit into the workflow you already have.
Codified engineering.
Codes, standards, and hard-won engineering judgement, encoded. The sizing, calculations, and compliance checks that take engineers days run in seconds — and stay right when inputs change.
Traceable documents.
The deliverable is the product. Every result is shown with its formula, its substituted values, and the paragraph it came from — review-ready packages a checker can follow and an inspector can verify.
In your workflow.
Browser-native, no rip-and-replace. DeepMechanix runs alongside the CAD, FEA, and plant-design stack your teams already trust, and exports self-contained files into your document system.
Where AI fits across the lifecycle.
Engineering, procurement, and construction is one long document pipeline. Here is where intelligence changes it — and where we start.
- 01
Pre-bid
Screen feasibility and scope, and price bids in hours instead of weeks.
- 02where we start
Engineering & design
Run the calculations, code checks, and sizing the design depends on.
- 03
Procurement
Generate datasheets, specs, and requisitions straight from the engineering model.
- 04
Construction
Keep drawings, calcs, and as-builts in sync as the design changes on site.
- 05
Operations
Carry the engineering record forward for re-rating, inspection, and revamps.
Read the perspective: AI for EPC — where artificial intelligence fits in the workflow →
We start with pressure vessels.
Our first focus is pressure vessel design to ASME Boiler & Pressure Vessel Code, Section VIII — the densest, most explicit rulebook in the field. The complete clause set runs in one pass and prints a clause-cited report: every formula shown, every value substituted, every result cited to its Code paragraph. It is the proving ground for everything we build.
Runs alongside your stack.
No rip-and-replace. DeepMechanix slots in next to the CAD, FEA, and plant-design tools your teams already use — and exports clean, self-contained deliverables back into your document system.
Built for the teams that engineer and build plants.
We work across pre-bid and post-bid engineering — automating the software-heavy work that decides whether a project is won, and how fast it is delivered. For EPCs, owners, and the engineering groups behind them, that is leverage at the scale of a whole project.
Lead product
Pressure vessel design to ASME Section VIII — the complete clause set and clause-cited reports, the proving ground for the platform.
Building
The broader engineering-intelligence layer across plant design and the EPC lifecycle — encoded standards, generated deliverables, revision-aware models.
Researching
Physics-informed neural networks and surrogate models for fast, accurate engineering simulation — early-stage work toward the next product cycles.
Questions, answered straight.
01What does DeepMechanix do?
We build AI for the engineering behind heavy industry — the calculation- and document-heavy work of plant design, EPC, and process equipment. The platform encodes engineering codes and standards so the calculations, compliance checks, and deliverables that take engineers days are produced in seconds, fully traceable to their source.
02Who is it for?
Engineering, procurement, and construction firms; plant owners and operators; and the fabricators and consultancies that engineer industrial equipment. The work spans pre-bid through operations — anywhere engineering judgement is reproduced by hand today.
03What is actually available today?
We are building the platform now, starting with pressure vessel design to ASME Section VIII — the complete clause set and clause-cited reports. The broader capabilities across plant design and EPC follow from there. We would rather show you exactly where we are than overstate it; talk to us for a current walkthrough.
04How does AI fit into engineering and EPC?
EPC is, at its core, a long document pipeline: scope a bid, engineer the design, procure the equipment, build it, operate it. At each stage, engineers reproduce codified knowledge and regenerate paperwork by hand. We automate that judgement and documentation while keeping every result traceable to the code or standard behind it.
05Do I have to replace my existing tools?
No. DeepMechanix is browser-native and runs alongside your CAD, FEA, and plant-design stack — no license server, no dongle, no IT ticket. Outputs export as complete, self-contained files that drop into your existing document-control system.
06Do you train on our data?
No. We never train models of any kind on your data, your drawings, or your clients’ models. Your engineering inputs and outputs are yours — we use them only to produce the deliverables you ask for, and nothing else.
07Are you enterprise-grade?
Yes — and we’re cloud-agnostic. Run DeepMechanix in our own cloud, in your AWS, Azure, or GCP environment, or fully on-prem. Data is encrypted in transit and at rest, with SSO and role-based access. Your environment, your controls.
08Who owns the outputs, and are they portable?
You do. Every report and deliverable exports as a complete, self-contained file for your job record — your dossier never depends on us, and the documents you've exported are yours to keep.
09How do I see it or talk to your team?
Talk to us for a walkthrough of the platform and the roadmap, or see the live pressure vessel product to evaluate the approach on real, downloadable output. Responses within 24 hours.