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Can Howard beat Claude? See the results →

AI for mechanical engineering teams

Make better engineering decisions, faster.

Move from an open question to a review-ready decision, with calculations, reviewed data, and sources you can inspect.

Catch the wrong assumption before it becomes expensive.

Move faster without losing rigor

Architectures, materials, thermal paths, loads, and test plans in one engineering conversation.

Keep every decision reviewable

See the inputs, conditions, calculations, and sources behind the answer.

Know when the evidence ends

Howard asks for missing constraints and says when reviewed data runs out, rather than guessing.

Move from brief to test with fewer wrong turns.

Frame the problem

Turn a brief into a sealing target, a thermal budget, and the decisions that actually need making.

Compare the options

Potted or gasketed, each with the tradeoff and the condition that rules it out.

Check the design

First-order checks with explicit inputs, units, and assumptions — temperature rise at altitude, with the properties it used.

Plan the evidence

Turn each unknown into the test or supplier question that closes it, before the design review.

Proof

Built to improve the answer, not just produce one.

The same Claude model answered 705 real engineering questions twice — once alone, once with Howard.

66.9% with Howard

Versus 23.2% alone, across 675 paired tool questions.

63.3% on design problems

Versus 8.3% alone, across 30 design problems.

Can Howard beat Claude? See the results →

Bring your hardest engineering questions.

Every answer carries the conditions, calculations, and sources that make it reviewable.