Eliminate hallucination risks in medical writing, MLR validation, and clinical documentation. Deepentix leverages CLAIM Graph technology and domain-tuned Small Language Models to give scientific teams 100% verifiable citation provenance at up to 45× lower query costs.
Standard RAG systems and broad LLMs cannot be trusted with regulatory submissions, clinical trial protocols, or promotional medical content. In life sciences, a misquoted statistic, a lost context nuance, or a hallucinated citation isn’t just an error—it’s a regulatory violation and a reputational risk.
Standard vector RAG
Citation drift
Well tolerated in all patients
Qualifier lost in chunking — unsupported medical claim
Deepentix CLAIM Graph
MLR pre-validated
Well tolerated in adults ≥18, 10 mg once daily — SmPC §4.8
Qualifier, dosage and source clause bound to the claim
Standard vector search chunks documents by arbitrary character length. It frequently disconnects scientific findings from their qualifying conditions, dosages, or trial demographics—leading to false or misleading scientific assertions.
Medical, Legal, and Regulatory review boards spend thousands of manual hours cross-referencing promotional assets against underlying clinical literature and SmPC guidelines because current AI tools cannot provide a guaranteed chain of evidence.
Uploading unreleased clinical trial data or proprietary drug discovery literature to third-party public cloud models poses severe intellectual property and compliance risks.
Deepentix structures complex medical literature, trial reports, regulatory guidelines, and internal SOPs into high-density CLAIM Graphs during the ingestion phase. Your AI references an exact, structured map of scientific facts—not raw, unverified text chunks.
Every assertion links directly back to exact trial protocols and SmPC clauses.
Resolves relationships across thousands of scientific papers and internal SOPs.
Run multi-stage “Judge Models” for verified accuracy.
Connect clinical trial documents, medical literature, regulatory guidelines (EMA, FDA), and internal SOPs without reformatting.
Automatically extract specialized medical schemas and ontologies. Medical writers and regulatory experts validate the framework in natural language.
Empower teams with automated MLR pre-validation, precise medical writing drafting, and instant regulatory auditing.
The challenge
Promotional assets require painstaking manual checks against scientific literature, risk profiles, and localized regulatory rules.
The Deepentix transformation
Automated pre-validation of assets with instant line-item mapping against approved claim libraries and SmPC guidelines.
The challenge
Drafting clinical trial reports, literature reviews, and regulatory submissions requires absolute precision across thousands of pages.
The Deepentix transformation
AI co-pilots that draft and revise medical literature with 100% verifiable source citations and zero hallucination risk.
The challenge
Updating product labels across global markets when new safety data or trial results emerge is slow and error-prone.
The Deepentix transformation
Instant impact-mapping across global documentation when core safety guidelines or clinical findings are updated.
Built to meet strict European and global regulatory standards (EMA, FDA 21 CFR Part 11, GDPR, EU AI Act). Deepentix ensures your proprietary scientific IP never leaves your control.
Are you a CRO or life sciences consultancy building custom regulatory or clinical workflows for enterprise pharma? Deepentix provides the core, auditable graph engine. Deliver state-of-the-art medical writing and regulatory validation tools to your clients in weeks—without building custom graph infrastructure from scratch.
Request a custom pilot using your sample medical literature or regulatory documentation to see 100% auditable AI in action.
