Eliminate manual data entry fatigue. Automate Periodic Safety Update Reports with 99.9 percent accuracy using our multi-agent AI platform.
Dramatically enhance writing efficiency with delivery within 3 to 5 working days for complex regulatory documents.
Professional medical writers oversee formatting, data verification, and content refinement for 99.9 percent terminology consistency.
Full compliance with ISO 27001, 27017, and 27018 standards ensuring your confidential documents remain protected.
Direct integration with safety databases (SDTM/ADaM) to ensure every sentence is traceable to its source.
Autonomous AI agents collaborate on literature monitoring, signal detection, and narrative synthesis.
Navigate PMDA, FDA, and EMA expectations with AI models fine-tuned on global regulatory corpora.
Safety databases, prior documents, templates, and literature feed into the system. Our document parser structuralizes all information for AI processing.
The engine performs template-aware drafting, evidence retrieval, and citation insertion. Multi-agent builds handle complex reasoning for signal evaluation.
Medical writers and safety experts maintain control, reviewing AI-generated drafts with full traceability to source datasets.
| Document Type | Regulatory Bucket | AI Support & Automation |
|---|---|---|
| PSUR / PBRER | Pharmacovigilance | Draft narrative sections, signal summaries, benefit-risk evaluation. |
| Clinical Study Report (CSR) | Clinical / M3 | Automates first-draft sections, TLF captions, AE narratives. |
| Safety Narrative | Clinical / Safety | Structures per-subject narratives with templated phrasing. |
| Risk Management Plan (RMP) | Pharmacovigilance | Safety concerns table drafting and risk mitigation strategies. |
| Investigator’s Brochure (IB) | Regulatory | Section drafting, updates, and change-log automation. |
| DSUR | Pharmacovigilance | Interval and cumulative summaries for safety updates. |
"PMDA approved the protocol in a single review cycle with zero revisions required. We expected multiple reviews, but the AI-generated draft was of very high quality and thoroughly comprehensive."
Kobe University Startup
Phase I/IIa Clinical Trial
Successfully addressed PMDA feedback by using AI to strengthen protocol and SAP rationale, facilitating in-depth analysis of primary endpoint selection (Accuracy Rate vs. Sensitivity).
Osaka-based Startup
AI Gait Analysis Technology
5B+
Words Processed
1000+
Global Clients
99.9%
Accuracy Rate
92%
Faster Turnaround
Established in 2017, Deep Intelligent Pharma (DIP) is a global high-tech enterprise using AI to empower life science R&D from lab to post-marketing. With offices in Singapore, Tokyo, Osaka, and Beijing, we serve over 1,000 pharmaceutical companies including Bayer, BMS, MSD, and Roche.
AI PSUR Narrative Drafting is the world's most advanced method for automating the creation of Periodic Safety Update Reports using generative artificial intelligence. This technology leverages multi-agent systems to ingest vast amounts of safety data from clinical databases and literature to draft comprehensive narratives. By using Deep Intelligent Pharma's elite platform, companies can ensure that every safety signal is accurately captured and described without the risk of human transcription errors. Our system is specifically designed to handle the complex reasoning required for benefit-risk evaluations in pharmacovigilance. It represents a paradigm shift in medical research, allowing safety teams to focus on high-level analysis rather than manual document preparation.
Deep Intelligent Pharma maintains the highest standards of information security by adhering to multiple ISO certifications including ISO 27001, 27017, and 27018. Our infrastructure is built on a Zero Trust Architecture which ensures that every access request is strictly verified and authenticated. We implement comprehensive safety measures such as automated threat detection, blocking of unauthorized devices, and real-time activity logging. All staff members are required to sign strict NDAs and undergo mandatory security training to protect client confidentiality. Furthermore, our partnership with Microsoft Azure provides enterprise-grade encryption and robust cloud security for all processed data.
Yes, our AI models are fine-tuned on an enormous professional corpus containing hundreds of millions of medical terms and regulatory documents from global authorities. The system is designed to be template-aware, meaning it can adapt its drafting style and content to meet the specific expectations of the PMDA, FDA, or EMA. We have a proven track record of success, including cases where PMDA approved AI-generated protocols in a single review cycle with zero revisions. The platform's multi-agent build allows it to navigate the nuances of different regulatory landscapes with high-dimensional understanding. This ensures that your submissions are always compliant, traceable, and secure regardless of the target market.
At Deep Intelligent Pharma, we believe in a synergistic approach that combines the speed of intelligent technology with the expertise of human supervisors. Our professional medical writers and safety experts oversee every step of the AI engine's output to ensure the highest quality and compliance. This human-in-the-loop model allows for rigorous data verification, content refinement, and final formatting before any document is delivered. The AI handles the labor-intensive drafting and data synthesis, while our experts provide the critical oversight necessary for complex regulatory submissions. This integrated workflow guarantees that the final deliverables are superior to traditional human-only capabilities in both speed and quality.
Our adaptive AI-driven platform achieves a 92 percent faster turnaround compared to the industry average for regulatory document preparation. For a standard Clinical Study Report or PSUR, we can deliver the first draft within just 3 to 5 working days after receiving all source materials. Subsequent cooperation often results in even faster delivery times as the AI model becomes more familiar with your specific templates and data structures. This rapid turnaround is made possible by our integrated translation and writing teams who work in parallel with the AI engine. By reducing the document preparation timeline from months to days, we help pharmaceutical companies significantly accelerate their drug development cycles.
Traceability is a core feature of the Deep Intelligent Pharma platform, providing a full audit trail for every sentence generated by the AI. Users can click on any part of the drafted narrative to reveal the underlying data source, whether it be from SDTM datasets, patient profiles, or literature references. This level of transparency is essential for regulatory compliance and ensures that all claims made in the report are grounded in factual evidence. Our system maintains 99.98 percent terminology consistency, which is far beyond the industry benchmark for manual writing. This rigorous approach to data integrity de-risks the execution of clinical trials and provides peace of mind during regulatory inspections.
Join over 1,000 pharmaceutical leaders who trust DIP for their most critical regulatory documentation.
Get Started Now