Dr.Evidence offers an AI‑powered platform that aggregates over 100 million regulatory, labeling, clinical trial, and scientific literature documents for biopharma teams. Its specialized machine‑learning and natural‑language models automate document search, extraction, and comparison, enabling faster regulatory submissions and strategic decision‑making. The solution also ensures zero IP leakage and enterprise‑grade security, delivering measurable ROI by reducing manual effort.
Funding
$1.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Life sciences companies face challenges in efficiently accessing and analyzing the vast amounts of data from clinical studies, drug labels, regulatory documents, and scientific literature. This makes it difficult to gain a comprehensive understanding of the competitive landscape and make informed decisions across various departments. The manual processes of searching, extracting, and synthesizing data are time-consuming and prone to errors.
Solution
Dr.Evidence provides an AI-enabled landscape intelligence platform that transforms static medical data into dynamic, relational databases. The platform leverages augmented intelligence, combining human domain expertise with machine learning and natural language processing, to accelerate insights and improve decision-making. It enables teams to quickly answer critical questions, understand the competitive landscape, and generate actionable insights across clinical, regulatory, labeling, safety, market access, and medical affairs. The platform streamlines access to global content, breaks down silos, and eliminates redundant work, allowing users to focus on strategic planning and drive commercial success.
Target Audience
The platform is designed for top-tier and mid-market pharmaceutical enterprises, emerging biotechnology companies, and teams across clinical, regulatory, labeling, safety, market access, and medical affairs.
Features
- AI-powered search engine for scientific literature, clinical trials, patents, grants, congresses, and more
- Label Intelligence module for rapid prior precedent research, side-by-side comparisons, and competitive monitoring of drug labels from multiple health authorities (FDA, EMA, etc.)
- Regulatory Intelligence module for streamlined access and interrogation of FDA and EMA regulatory documents
- AI chat interface for immediate, summarized answers based on filtered source documents
- Automated monitoring and real-time surveillance for safety surveillance and adverse event comparisons
- Integration of over 25 large language, machine learning, and natural language processing models
- Centralized source of scientific content, breaking down silos and eliminating redundant work