Log10 offers Everest, an AI‑driven platform that automates the creation of life‑sciences documents such as regulatory submissions, clinical trial materials, and strategic reports. The system generates compliant drafts in minutes, includes built‑in editing tools, and provides a white‑label option for CROs and consultancies to deliver AI‑generated documents under their own brand.
Funding
Funding not disclosed
Founders
Product
Problem
Life sciences companies and service providers must produce a wide range of regulatory, clinical, and strategic documents, a process that is labor‑intensive, prone to errors, and often requires specialized expertise to ensure compliance.
Solution
Everest is an AI‑driven platform that automates the creation of life‑sciences documents. By leveraging agentic AI workflows, the system generates drafts of regulatory submissions, clinical trial materials, and commercial strategy reports in minutes while maintaining industry‑required accuracy and compliance. Users can edit, review, and finalize outputs within the same interface, reducing reliance on large document teams. The platform also offers a white‑label option, allowing CROs and consultancies to deliver AI‑generated documents under their own brand, effectively turning a service into scalable software without building an internal AI capability.
Target Audience
Primary customers are pharmaceutical, biotech, and MedTech companies, as well as CROs and regulatory/consulting firms that need to produce high‑quality life‑sciences documentation at scale.
Features
- Automated generation of regulatory deliverables such as 510(k) submissions, IND/CTA packages, eCTD modules, and post‑market safety reports
- Rapid drafting of clinical documents including trial protocols, study reports, investigator brochures, and informed consent forms
- Creation of strategic and commercial assets like literature reviews, market landscape summaries, competitive analyses, and reimbursement strategies
- Agentic AI workflow engine that ensures document content adheres to industry standards and compliance requirements
- White‑labeling capability for CROs and consultancies to brand the AI output as their own product
- Integrated editing and review tools for seamless human‑in‑the‑loop validation