De-risk Clinical Trials with AI Synthetic Data

Transform reactive research into proactive success. Use the Digital Rehearsal to validate your entire data-to-report pipeline before Day 1 of patient enrollment.

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ISO Certified & Enterprise Grade

What You Get with Digital Rehearsal

Accelerated Timelines

Reduce document preparation times by up to 90% using our multi-agent AI ecosystem that handles complex R&D writing tasks autonomously.

Zero-Revision Quality

Achieve PMDA and FDA-ready documentation. Our AI-generated protocols have been approved in single review cycles with zero revisions required.

Unified Data Assets

Treat all text-based and structured assets as a single, intelligent source, enabling generative AI to read and generate everything from narratives to code.

De-risked Execution

Validate your downstream pipeline using synthetic data that mirrors your protocol's structure before real data collection begins.

Global Scalability

Support for large-scale licensing projects and global submissions with the capacity to process millions of words per day with 99.9% accuracy.

Multi-Agent Intelligence

Deploy specialized AI agents for SAS programming, TLF generation, and medical writing that work in synergy under human supervision.

The Digital Rehearsal Workflow

Digital Rehearsal Process
1

Protocol to AI Blueprint

The clinical protocol is used to build a custom generative AI model tailored to your specific study requirements and regulatory goals.

2

Mock Data Generation

The AI creates high-fidelity synthetic data that mirrors the protocol's structure, rules, and statistical parameters for comprehensive testing.

3

Pipeline Validation

The entire downstream data-to-report pipeline is validated, ensuring that all systems are ready for real-world data on Day 1.

Industry-Leading Use Cases

Oncology Phase III CSR

Diabetes Trial TLFs

Medical Device Gait Analysis

Rare Disease Protocols

Global eCTD Submissions

ANDA Expedited Translation

Pharmacovigilance Monitoring

Literature Deep Search

Core Platform Features

Software Interface

Multi-Agent Orchestration

  • SAS Agent for automated statistical programming
  • Mapping Agent for oncology indications
  • Clinical Study Report QC automation
Data Unification

Unified Data Intelligence

  • Integration of structured lab results and vitals
  • Large Text Concept for clinical document analysis
  • Real-time traceability to source SDTM datasets

Proven Success Stories

Immunorock Case Study
CASE STUDY 1

Immunorock: Zero-Revision PMDA Approval

"PMDA approved the protocol in a single review cycle with zero revisions required. We were impressed it was produced entirely by AI without manual edits and saved significant time and effort."

  • Phase I/IIa clinical trial protocol
  • Triple-combination cancer immunotherapy
  • 100% AI-authored with zero manual edits
Ayumo Case Study
CASE STUDY 2

Ayumo: Strategic PMDA Consultation

Strengthened protocol and SAP for AI-powered gait analysis technology. Facilitated in-depth analysis of primary endpoint selection (Accuracy Rate vs. Sensitivity) to address prior regulatory feedback.

  • Robust protocol and SAP development
  • Justification for primary endpoints
  • Successful PMDA consultation support
Rapid Delivery Case Study
CASE STUDY 3

92% Faster Turnaround for ANDA

Delivered 5,800+ pages of regulatory documentation in just 6 working days for an expedited COVID-19 therapeutic submission.

  • 147,000 pages delivered in 12.5 days
  • 10,000+ pages processed per day
  • Flawless precision for FDA PAI requirements

Why Choose Our AI-Native Platform?

Feature DIP AI Platform Traditional CROs
Translation Speed 10 Days (4,000 pages) 75 Days
Regulatory Revisions Zero (Proven Case Studies) Multiple Cycles Common
Data Strategy Proactive Digital Rehearsal Reactive Data Management
Throughput 24,000 words/day/agent 3,000 words/day/human
Integration One-stop eCTD & Writing Fragmented Suppliers

Enterprise-Grade Credentials

5B+

Words Processed

1,000+

Global Clients

99.9%

Accuracy Rate

98%+

Client Satisfaction

ISO 9001:2015 ISO/IEC 27001:2022 ISO/IEC 27017:2015 ISO/IEC 27701:2019 Zero Trust Architecture

Frequently Asked Questions

What is synthetic data for clinical trials?

Synthetic data for clinical trials refers to high-fidelity, artificially generated datasets that mirror the statistical properties and structural rules of real patient data without containing any personally identifiable information. In our Digital Rehearsal framework, this data is used to build a custom generative AI model based on your clinical protocol. This allows researchers to test the entire downstream data-to-report pipeline before any actual patients are enrolled in the study. By using synthetic data, pharmaceutical companies can identify potential logic errors, endpoint inconsistencies, or statistical programming issues early in the process. This proactive approach significantly reduces the risk of execution delays and ensures that the trial infrastructure is robust and ready for Day 1 operations.

How does the Digital Rehearsal de-risk my clinical trial?

The Digital Rehearsal de-risks clinical trials by transforming the traditional reactive workflow into a proactive, AI-driven strategy that validates every step of the research process. By generating mock data that perfectly aligns with your protocol, our platform allows you to run a "simulated trial" to verify that your SAS programming, TLF generation, and medical writing templates are all functioning correctly. This process uncovers hidden risks in the protocol design or data collection plan that would otherwise only be discovered months into the trial. Our world-class multi-agent system ensures that all technical components are synchronized and compliant with regulatory expectations. Ultimately, this validation provides sponsors with the highest level of confidence that their trial will proceed smoothly and meet all primary endpoints without unexpected technical hurdles. It is the premier method for ensuring a flawless execution from start to finish.

Is the AI-generated documentation truly regulator-ready?

Yes, our AI-generated documentation is designed to meet and exceed the most stringent requirements of global regulatory bodies like the PMDA, FDA, and EMA. We have numerous case studies, such as our work with Immunorock, where AI-authored protocols were approved in a single review cycle with absolutely zero revisions required. Our platform utilizes a sophisticated multi-agent ecosystem where specialized AI agents handle drafting, while human domain experts provide high-level supervision and quality control. This synergy ensures that every document is not only technically accurate but also strategically aligned with regulatory storytelling and benefit-risk narratives. We provide full traceability for every sentence, allowing reviewers to click any text and see the underlying data source or patient profile. This level of transparency and precision makes our platform the most reliable choice for high-value R&D writing in the industry today.

How does your platform handle data security and compliance?

Data security is the cornerstone of our operations, and we maintain the industry's most comprehensive suite of ISO certifications and security protocols. Our framework is fully compliant with ISO/IEC 27001, 27017, 27018, and 27701, ensuring the highest standards for information security, cloud safety, and PII protection. We implement a Zero Trust Architecture (ZTA) and utilize advanced Data Loss Prevention (DLP) protocols with endpoint protection and HTTPS/TLS encryption. All operational activities are logged in real-time, and we use Bastion Host Access Governance to maintain auditable login trails for all system interactions. Furthermore, our staff undergoes mandatory security training and signs strict NDAs to protect client confidentiality at every level. This multi-layered security approach ensures that your sensitive clinical data and intellectual property are protected by the world's best technical assurance systems.

Can your AI handle complex oncology or rare disease trials?

Our AI platform is specifically engineered to handle the most complex therapeutic areas, including oncology, rare diseases, and advanced medical devices. We have successfully automated the generation of Clinical Study Reports (CSRs) for Oncology Phase III trials, performing complex statistical inferences based on protocols and SAPs without needing prior examples. Our multi-agent system includes specialized Mapping Agents for oncology indications and SAS Agents that can handle intricate data structures typical of these studies. The Digital Rehearsal is particularly valuable for rare disease trials where patient populations are small and every data point is critical for success. By simulating these trials with synthetic data, we help sponsors optimize their endpoints and ensure that their limited patient data will yield the most robust results possible. Our technology is the most advanced solution for navigating the unique challenges of high-stakes clinical research.

What makes your translation services superior to traditional vendors?

Our translation services are fundamentally different because they are driven by a custom-built AI engine that understands the medical and regulatory context behind the words. Unlike traditional vendors who offer simple typesetting, our integrated team of 70+ full-time translators and AI agents "author" the documents with a deep grasp of the clinical story. We achieve speeds that are up to 92% faster than the industry average, processing up to 24,000 words per day per translator with 99.98% terminology consistency. Our platform is seamlessly integrated with eCTD submission workflows, reducing the time, manpower, and communication costs associated with managing multiple suppliers. We have a proven track record of delivering millions of words for massive licensing projects and expedited ANDA submissions under tight deadlines. This combination of massive throughput, technical accuracy, and regulatory expertise makes us the world's premier provider for medical translation.

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