~20 min → <4 s
Per-PDF review time
Illustrative POC/MVP reference: manual review versus local-GPU assisted processing.
Case study
Forensic drug analysis — lab report review
An illustrative design-partner narrative for the Ivertiq Full-Stack AI Harness: high-volume instrument PDFs, sovereign on-prem execution, and human experts on every exception. Not a guarantee of results in every lab.
2,000+
PDFs in a batch window
Reference scale on workstation-class dual-GPU hardware for monthly-style processing loads.
On-prem
Sovereign by design
Forensic evidence, Lab IDs, and chemical results stay inside the customer environment.
Metrics are illustrative POC/MVP selling aids pending validation under each customer’s SOP, QA protocol, input formats, and hardware.
The problem
Forensic laboratories generate dense instrument outputs — PDF reports, chromatograms, spectra, LIMS exports, and sample photos — that still require extensive manual review, transcription, cross-checking, and monthly report collation.
As volume rises (tens of thousands of samples per year in some settings), adding headcount alone does not scale. Fatigue increases QC risk. Sensitive evidence cannot be casually uploaded to public cloud AI.
The goal is not to replace forensic experts. It is to remove repetitive steps that create latency, transcription errors, and bottlenecks — while keeping every accountable decision human-gated.
Phase 1 scope (illustrative)
01
Ingest
Instrument PDFs / exports and controlled mapping references.
02
Extract & map
Lab ID, Hit1/Hit2 candidates → controlled drug mapping database.
03
Gate
Consistent mapping → structured output; mismatch → expert review.
04
Collate
Optional PPT assembly from LIMS export + selected sample photos.
Why it proves the Harness thesis
- Sovereignty — forensic data stays local; no public LLM API path for evidence.
- Deterministic gates — automation stops when Hit1/Hit2 disagree; experts own exceptions.
- Auditability — structured outputs and review paths support defensibility.
- Expansion path — same stack pattern extends toward clinical/health-screening LC-MS review and other lab document workflows.
What we do not claim
- Replacement of forensic expert judgment
- Guaranteed accuracy or elimination of all QC risk
- Coverage of every forensic subsidiary workflow on day one