Proof, not adjectives.

Practising engineers can't sign off on an AI answer that changes every time and cites nothing. So we built the opposite: deterministic results, traceable to a clause, with every assumption on the table.

680

Byte-identical cases

Determinism is verified, not asserted: a regression suite runs hundreds of cases and checks the outputs are byte-for-byte identical, every build. Same input, same output — no model drift.

Standards implemented

Every result maps to a clause in DNV, API, ISO, ASME, BS and more. The standard reference travels with the number, so a checker can verify it against source.

100%

Shows its work

Every deliverable carries an assumption ledger and explicit scope limits. If something wasn't checked, it says so.

The assumption ledger

A calculation record identifies its inputs, governing method and limitations. Project acceptance requires review against the applicable criteria.

These records support engineering review of the stated assessment scope.

result: min wall = 9.5 mm (util 0.81)

standard: DNV-ST-F101 (2021) §5.4.2

inputs: OD 12.75", P_d 10 MPa, X65

assumed: SMYS 450 MPa; t_fab −12.5%;

corrosion allowance 1.0 mm

not checked: local buckling, fatigue

reproducible: yes — hash-stable

From real projects

Computational Fatigue Assessment

Gulf of Mexico platform life extension

85% time reduction 23% accuracy improvement

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Automated FEA Post-Processing

Subsea equipment qualification pipeline

90% time reduction 50+ reports/week

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All case studies

See it on your own question

Bring something from your real work and check it against the published capability data.

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