
ENDPOINT NEWS EXCLUSIVE
Author: Andrew Dunn, Senior Biopharma Correspondent
Ahead of the busiest week for biopharma dealmaking at the annual JP Morgan Healthcare Conference, a new startup launched, believing its software will help prevent drugmakers from missing out on their next big deal.
With eight full-time employees, Prudentia Sciences raised a $7 million seed round in the fall led by GV, the venture arm of Alphabet, CEO Sadiqa Mahmood exclusively told Endpoints News. Iaso Ventures and Virtue are also investors.
Prudentia’s software mixes large language models, deep learning neural networks and financial models to help speed up the due diligence and valuation processes at the heart of dealmaking discussions.
Mahmood, a former leader of the Broad Institute, founded the Cambridge, MA-based startup in 2023. John Reynders, a biotech veteran and previously Moderna’s founding chief information officer, joined last fall as chief technology officer.
Mahmood built the life sciences group at Health Catalyst, a healthcare services company, when she said she noticed how slow and fragmented pharma decision-making processes are. She left Health Catalyst in late 2022, spending the next several months meeting with R&D and business development executives to learn about the biggest pain points in their jobs.
Prudentia’s focus emerged from those coffee chats after Mahmood repeatedly heard “a deep frustration with missed opportunities” for deals, she said. The startup’s first goal is helping BD teams or institutional investors evaluate more drugs faster by using its software.
“Our focus is speed, to start, because most of the time, these diligence processes run over weeks,” Mahmood said. “We are trying to reduce that to a week-long process, not more than that.”
Beyond making diligence faster, Prudentia’s software also analyzes deal valuations by simulating a key metric in pharma boardrooms: NPV, or net present value. While widely used, NPV also has its critics, given the myriad unknowns baked into drug R&D. Prudentia isn’t trying to upend that approach, but rather make it more efficient.
“Our goal is not to change the current practice,” Mahmood said. “Our goal is to improve the process for decision-making.”
Prudentia is still in the earliest stages as a startup. While some of its own investors are using the software, Mahmood declined to say if the company has any independent customers or to share any details on revenue.
LLMs play a role in Prudentia’s software, but AI is only part of the company’s approach. Mahmood said Prudentia isn’t building AI models from scratch, but rather using customizing existing models that are most helpful.
“We did not want to just piggyback on the LLM trend,” she said. “That was never the intention of the company. It was, ‘We need to solve this problem. What are the tools and technologies out there?’ And that just happens to be a part of it.”