When a batch decision is wrong,
the recall costs millions.
Pharmaceutical operations run on data that is always incomplete: stability studies still in progress, supply chain disruptions obscuring root cause, safety signals buried in noise. Every decision system you trust today fills those gaps with confidence scores. ARACHNE labels them as ignorance and escalates.
Four gaps no current
tool admits openly.
These are not edge cases. They are the daily reality of pharmaceutical operations. And every existing system handles them the same way: it guesses, assigns a confidence score, and moves on.
Batch Release with Incomplete Stability
Stability data is still accumulating when the batch must ship. Models extrapolate. ARACHNE flags the gap and applies your operator threshold.
Safety Signals Lost in Signal Noise
Pharmacovigilance databases overflow with reports. Statistical filters miss the rare, serious event. Human reviewers drown in volume.
Supply Chain Quality Gates Bypassed
Excipient certificates of analysis arrive late or incomplete. Production schedules pressure teams to accept qualified-by-design assumptions.
Regulatory Submissions on Shifting Data
By the time a filing is reviewed, the underlying evidence has evolved. No system tracks what changed, what was known, and what was guessed.
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 · RECOMPUTABLESignal Provenance Tracking
Every safety signal traced to source database, query date, and confidence threshold. Stale signals flagged automatically.
TESTED · VALIDATING LIVECoA Completeness Verification
Incoming certificates checked against 14 required fields. Incomplete CoAs halt the gate—never silently accepted.
ARCHITECTURE · DOCUMENTEDRegulatory Delta Audit
Every submission tracked against its evidentiary base. When evidence evolves, the delta is computed and surfaced.
IN DEVELOPMENTWhere 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.
Clinical Trial Safety Monitoring LIVE PROOF
During a Phase III trial, a safety database receives 40,000+ adverse event reports. ARACHNE's lattice evaluates each report against 12 provenance fields: source system, MedDRA coding date, verbatim-to-coded mapping confidence, and medical review status.
- Reports with incomplete provenance are labeled ignorance, not deprioritized
- Statistical signals without medical review are flagged as uncomputed
- Only claims passing all 36 nodes advance to the safety committee
- Every decision is HMAC-chained and re-verifiable
API Supplier Qualification ARCHITECTURE PROVEN
A new active pharmaceutical ingredient supplier must be qualified before batches can be released. ARACHNE collects 36 required evidence nodes: GMP certificate, audit report, method transfer data, stability data, and regulatory filing cross-reference.
- Missing certificates halt qualification—not waived, not assumed
- Expiry dates checked against real-time; expired certs trigger automatic re-request
- Conflict between audit findings and method transfer is surfaced, not smoothed over
- Operator override is possible, versioned, and recorded
Annual Product Review Data Integrity VALIDATION LEDGER
The annual product review (APR) synthesizes a year of manufacturing, testing, and release data. ARACHNE's validation ledger ensures every data point in the APR carries a provenance record: when it was generated, by which system, under what version, and whether any gaps were present at the time.
- Data generated during system downtime is explicitly flagged
- Out-of-specification results without investigation are labeled ignorance
- Trend analyses using imputed data are marked uncomputed
- Regulatory inspectors see the same record the system saw
Not projected.
Proven.
Every number below is recomputable from public sources. No vendor claims. No confidential data. Just proofs you can run yourself.
"We spent eighteen months building a pharmacovigilance dashboard that showed us everything we wanted to see. It wasn't until a regulator asked 'how do you know this signal is real?' that we realized the system had no answer. ARACHNE was built to answer that question before it's asked."