Where this is going

AI is learning to do hard engineering. Most of it produces confident text. We are building the other kind: AI that runs the real calculation, checks it against physics and the governing standard, and shows its work — for the offshore energy world, today.

A real engineer, not a chatbot

A generic assistant will happily give you a different fatigue life every time and cite nothing. That is unusable in a calculation note. The category we care about connects generative models to validated physical feedback loops — solvers, standards, test data — so the output is deterministic, traceable, and defensible. We started where that loop is hardest and most valuable: offshore, subsea, marine and energy engineering.

The flywheel

Every real question makes the next answer better.

  1. A question arrives — in plain language, from an engineer's real work or a private scope.
  2. The engine runs it — digitalmodel picks the method and the standard and computes the answer deterministically.
  3. A deliverable comes back — the number, the governing clause, the assumption ledger; changes arrive as pull requests.
  4. Knowledge is captured — the workflow and what it taught us feed our verified engineering corpus.
  5. The next workflow is sharper — demand signals what to build next, and the loop tightens.

What we're building toward

We're specific about what's real today versus on the road ahead.

Today

The engine

7,000+ standard-mapped functions across ~30 disciplines, run from chat and traced to the clause.

Next

More of the work, more domains

Natural-language routing to the right module with gap detection, and the advisory channels becoming runnable.

Ahead

Design iteration

From a brief to a calculation package, the checks, and the refinements — with a human engineer in the loop.

What we won't trade away

⚖

Traceable

Every result maps to a standard clause.

🔢

Deterministic

Same input, same output — audit-ready.

📝

Shows its work

Assumptions and scope on every deliverable.

🔒

Governed

PR-only, scoped, audited — below the model.

See it on a real question

The fastest way to understand where this is going is to use it. Every capability is free to explore.

Explore capabilities →

Or explore Deckhand, the platform, and the proof.