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AI-Powered Pharmaceutical Documentation
Online / Onsite · Apply by 14 Jul 2026 (GMT+1)
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About this open call
Background Generative AI and Large Language Models (LLMs) are transforming how pharmaceutical companies handle documentation-intensive processes, including clinical development, regulatory submissions, and pharmacovigilance. By automating routine writing and data processing tasks, these solutions can reduce manual workloads, accelerate submission timelines, and improve compliance consistency — a critical advantage as the volume and complexity of data grows across global markets. A key benefit for pharma in adopting these solutions is the ability to streamline operations while maintaining high regulatory and scientific standards. Automated generation of clinical protocols, study reports, safety narratives, and regulatory documents not only shortens cycle times and reduces human error but also enhances data quality. Examples of services and target solutions include: • AI-driven medical writing for clinical protocols, study reports, and manuscripts. • Regulatory document generation and quality control tools. • Pharmacovigilance automation, including safety case processing, narrative drafting, and signal detection. • Workflow integration tools that ensure compliance with GxP and data privacy standards. Ideal solutions demonstrate measurable impact on documentation speed, accuracy, and regulatory compliance, helping pharma strengthen internal processes, optimize resources, and focus more on scientific and patient-focused work. Both early-stage startups and established vendors are encouraged to apply. Why You Should Apply: • Increase visibility for your solution among pharma companies worldwide. • Present your solution directly to multiple pharma decision-makers through pitching events. • Receive invitations from pharma partners for one-on-one meetings. • Explore opportunities for commercial partnerships, collaborations, and vendor selection. Submit your application along with your typical commercial offer. It will be shared with an expanding network of pharmaceutical companies — potentially serving as a direct channel to your first or next pharma client.
- What’s offered
- Commercial partnershipPitch competition
- Financial contribution
- Open for discussion
- Must-have requirements
- • Pharma Focus – Solution must target pharmaceutical workflows (documentation, regulatory, clinical, or safety). • Solution Readiness – MVP or working prototype with measurable impact preferred. • AI Technology – Uses Generative AI or LLMs for medical writing, regulatory documents, or pharmacovigilance automation. • Commercial Intent – Open to partnerships, pilots, or commercial agreements with pharma. • Compliance – Meets GxP and relevant data privacy/regulatory standards. • References (optional) – Existing pharma clients or case studies strengthen the application.
Who should apply
- Service categories
- AI productivity tools
- Therapeutic areas
- All therapeutic areas / Disease agnostic
- Regulatory approvals
- No regulatory approval
- Regions & markets
- Global
- Startup stage
- Growth - Paid PilotsScaling - Expansion
Application questions
- What solutions or services do you provide for pharmaceutical companies?
- Please describe your pricing model for Pharma and typical fees.
- Which pharmaceutical companies have you worked with? Please provide references, case studies, or success stories if available.
- If accepted
- Be recommended to pharma companies based on solution and commercial fit. Participate in 1:1 meetings with potential pharma partners to explore collaboration opportunities. Receive invitations to pitch events for broader exposure to decision-makers.