TLDR

• Delineate extracts and analyzes data from biopharma research papers and patents at scale, including data trapped in figures and plots.
• We are partnered with two top-10 pharma companies where we are performing some of the largest systematic-review studies ever conducted.
• For our clients we have increased the number of processed studies by 15x compared to industry standard and reduced the time for certain studies from months to weeks.

Problem

90% of drug candidates fail despite billions in pharmaceutical R&D. Making evidence based decisions is crucial to the success of $2B drug pipelines. However to aggregate evidence across hundreds of research papers and patents can take research scientists months of hard labor.

Solution

Delineate has developed custom LLM and computer vision models paired with rigorous QC processes to deliver extremely high quality datasets in a fraction of the time. By increasing the scale and speed for evidence aggregation, Delineate is transforming how pharmaceutical companies make evidence based development decisions.

Demo:

Here is a quick demo of our platform and a sample project:

Ask:

• Any introductions to biopharma companies that perform meta-analyses and/or computational analysis workflows.
• If any biopharma-focused YC companies need assistance, we're happy to help!

About Us:

led by @Emily Nieves (MIT PhD, former Pfizer/AstraZeneca computational researcher) and @Jawad Iqbal (ex-Lockheed Skunkworks AI lead)