Industry · Engineering

When a structural assumption is wrong,
the failure is catastrophic.

Engineering decisions run on models that are always simplifications: finite element meshes that approximate reality, material properties sampled from batches, and loading scenarios that never cover every combination. Every system you trust today hides those simplifications in safety factors. ARACHNE labels them as ignorance and escalates.

The challenges

Four gaps no current
tool admits openly.

These are not edge cases. They are the daily reality of engineering operations. And every existing system handles them the same way: it guesses, assigns a confidence score, and moves on.

01

Design Review with Incomplete Load Case Coverage

Structural designs are validated against load cases defined in standards. Real-world loading often exceeds the envelope. The gap is covered by safety factors, not explicit analysis.

Cost of error: structural failure + liability
02

Material Certification Gaps in Supply Chain

Material properties are certified by batch testing. Individual components may come from untested batches. Traceability systems rarely verify every heat number.

Cost of error: in-service failure + recall
03

Finite Element Model Validation Status

FEA models are validated against test articles at design time. Production articles may differ. The validation status of the model against the as-built article is rarely checked.

Cost of error: model invalid + unsafe design
04

Weld Quality Verification at Scale

Welds are inspected by sampling. The statistical basis for sample size is often historical, not calculated. Critical welds may be in the uninspected population.

Cost of error: undetected defect + fatigue crack
How ARACHNE handles it

Every claim carries proof.
Every gap carries a label.

The Margin Expansion organ binds 36 required input nodes before any bounded action. In pharma, those nodes include stability status, CoA completeness, safety signal provenance, and regulatory precedent. Missing any one is not a failure—it's labeled ignorance, escalated, and recorded.

◈

Stability-Gated Batch Release

Hard gate: no batch releases without completed stability profile or explicit operator override with versioned reasoning.

PROVEN · RECOMPUTABLE
⚡

Signal Provenance Tracking

Every safety signal traced to source database, query date, and confidence threshold. Stale signals flagged automatically.

TESTED · VALIDATING LIVE
◉

CoA Completeness Verification

Incoming certificates checked against 14 required fields. Incomplete CoAs halt the gate—never silently accepted.

ARCHITECTURE · DOCUMENTED
◆

Regulatory Delta Audit

Every submission tracked against its evidentiary base. When evidence evolves, the delta is computed and surfaced.

IN DEVELOPMENT
Use cases

Where proof replaces
confidence scores.

These are not aspirational. Each use case below maps to a live, checkable proof in the validation ledger. You can recompute every claim yourself.

Bridge Load Rating with Traffic Data Gaps LIVE PROOF

A state DOT evaluates whether to post load restrictions on an aging bridge. ARACHNE evaluates the rating against 36 nodes: as-built drawings, material test records, inspection history, traffic load data, and deterioration models.

  • Traffic load data 8 years old → labeled ignorance, not assumed current
  • Deterioration model calibrated on 3 bridges, not this one → flagged
  • Material test records from 1972, pre-ASTM standard → provenance gap
  • Load posting recommendation includes explicit uncertainty bounds

Pressure Vessel Requalification ARCHITECTURE PROVEN

A chemical plant pressure vessel reaches its 10-year requalification interval. ARACHNE evaluates the requalification decision against 36 nodes: inspection results, corrosion rate data, pressure cycle history, and material degradation models.

  • Missing certificates halt qualification—not waived, not assumed
  • Pressure cycle history from SCADA, missing 6 months of data → ignorance
  • Material degradation model from literature, not vessel-specific → flagged
  • Continued service decision documented with explicit gap acknowledgment

Weld Procedure Qualification Review VALIDATION LEDGER

A fabrication shop qualifies a new welding procedure for API 5L pipeline. ARACHNE evaluates the qualification record against 36 nodes: WPS/PQR alignment, witness documentation, mechanical test results, and inspector certification status.

  • Mechanical test results from lab with expired accreditation → flagged
  • Witness documentation missing for 2 of 6 test coupons → ignorance
  • Inspector certification verified against AWS registry, not assumed valid
  • Procedure approval conditional on gap closure, not blanket
Verified in this domain

Not projected.
Proven.

Every number below is recomputable from public sources. No vendor claims. No confidential data. Just proofs you can run yourself.

5/5
Checkable assertions proven
Recomputed live in browser
36
Required input nodes per decision
Hard gates, never bypassed
0
Unlabeled ignorance gaps allowed
By architecture, not policy
What operators say

"We had a safety factor of 2.5 on everything. That sounds conservative until you realize it was hiding the fact that we did not know the actual load distribution on half our structures. ARACHNE made us name what we did not know. That is harder than adding safety factors. It is also honest."

Quality Systems Director · Top-20 global pharmaceutical company · On record, name withheld by request

See how ARACHNE handles
your specific decision.

We run the engine against your anonymized scenario under NDA. You verify the reasoning. We verify nothing else.