Regulatory document intelligence
Extract and index research, regulatory, and compliance documents into searchable form.
Faster response to regulatory change
Use case · By industry
Document intelligence and workflow automation for regulated life-sciences operations — research, regulatory, and compliance-heavy document workflows, built around your controls.
AI automation for pharma and life sciences applies document intelligence and workflow automation to the sector's most document-heavy, compliance-bound processes — extracting and structuring data from research, regulatory, and quality documents, and automating the workflows around them, all inside your security and audit requirements.
The problem
Few industries handle more dense, high-stakes documents than life sciences — regulatory submissions, safety reports, batch and quality records, clinical and research data, patent and IP material. Extracting and reconciling that information by hand is slow and error-prone, and a single transcription mistake can have regulatory consequences. At the same time, the compliance bar — GxP, 21 CFR Part 11, data integrity — makes a generic public AI tool a non-starter the moment the data is confidential or regulated.
That combination is exactly what custom, controlled automation is for: the volume and density make it high-value to automate, and the compliance requirements make a bespoke, in-environment build the only responsible way to do it. Document intelligence has been a core Chronexa capability since day one, including work in pharma.
The solution
Extract and index research, regulatory, and compliance documents into searchable form.
Faster response to regulatory change
Structure data from studies and reports without manual transcription.
Days of manual review removed
Built around your validation and audit controls from day one.
Audit-ready by design
Regulatory work runs on assembling, cross-checking and structuring enormous document sets under deadline. We extract and structure data from regulatory filings, source documents and prior submissions — pulling the right fields into the right format, reconciling figures across documents, and flagging inconsistencies before they reach a reviewer. The manual collation that consumes regulatory and medical-writing teams becomes a reviewed, traceable pipeline instead of a hand-built one.
Adverse-event and safety workloads scale relentlessly and carry hard reporting timelines. We automate the intake and triage of safety cases — extracting case data from intake forms, emails and literature, surfacing seriousness and expectedness signals, and supporting coding and case routing so safety teams spend their time on assessment, not data entry. Literature monitoring runs continuously rather than as a periodic manual sweep, so relevant signals surface earlier.
Across quality and R&D, the same patterns apply: processing deviation, CAPA and batch records; reconciling data across quality systems; extracting findings from scientific literature; and supporting patent and IP review. Each is a document-heavy, rules-bound process where extraction against a defined schema with cross-document reconciliation removes the manual grind while keeping a complete record of what was found and where.
Everything is built for the compliance reality: schema-based extraction with RAG grounding so every field traces back to its source document, low-confidence items routed to expert review, and full audit trails and access controls aligned to GxP and data-integrity expectations. It all runs inside your environment, so confidential research, safety and regulatory data never leaves systems you control. We work under NDA and scope security and validation requirements before any build.
Example workflows we build
The results
Our approach
From source documents to the decisions and filings they support.
OCR + LLM + RAG grounding tuned to your document types and controls.
Human-in-the-loop review with full provenance and audit trails.
Wire into your systems inside your security and compliance perimeter.
Why a custom build beats off-the-shelf
Yes. Workflows run inside your environment with role-based access and full audit trails, and we scope security and compliance requirements before any build. We work under NDA.
Schema-based extraction with RAG grounding makes every field traceable to its source, and low-confidence items go to expert review.
Yes — document intelligence in pharma and adjacent regulated fields is part of our experience, though client names are protected under NDA.
Document management, quality, and regulatory systems, plus the data stores and tools around them.
Engagements are fixed-price and scoped to the outcome. Every engagement is fixed-price with ROI targets agreed up front, backed by our 90-day ROI guarantee. Book a discovery call. for a clear price and ROI estimate.
15 minutes to see if this is worth building for you — no pressure if it isn't.
Book a Discovery Call.