Edison Raises $70M to Accelerate Scientific Discovery with AI
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Edison Raises $70 million to Accelerate Scientific Discovery with AI

The funding will scale its AI platform that helps scientists analyze data and design experiments.

12/19/2025
Bassam Lahnaoui
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Edison Scientific has secured a landmark $70 million seed funding round to revolutionize scientific research with artificial intelligence. Co-led by Triatomic Capital, Spark Capital, and a major US institutional biotech investor, the investment signals strong confidence in Edison's vision for AI "co-scientists." The company aims to integrate these AI partners into the full research stack to dramatically accelerate the discovery of new cures for all diseases.


A New Paradigm for Scientific Research

Modern scientific research is often hampered by a deluge of data and an ever-expanding body of literature, slowing critical discoveries. Researchers spend significant time on manual tasks, navigating fragmented tools and trial-and-error experimentation. Edison Scientific was founded to address this efficiency gap by providing AI tools that augment the cognitive workload of scientists.

At the heart of Edison's platform is Kosmos, an AI scientist designed to function as a researcher's lab partner. Given a specific goal, Kosmos can autonomously conduct research by analyzing data, searching literature, and generating hypotheses. The system delivers a comprehensive, cited research report, compressing work that could take months into just one day.

Vision and Leadership

The company originated as a spin-out from FutureHouse, a nonprofit AI biology lab established to build foundational AI for science. Edison is led by CEO Sam Rodriques, a physicist and bioengineer, alongside co-founder Andrew White, a leader in AI-for-chemistry. Their combined experience provides a unique foundation for bridging the gap between advanced AI and practical biological research.

Edison's ultimate ambition is to enable the discovery of cures for all diseases by the middle of the century. This bold vision informs their strategy of creating tools that empower scientists rather than owning the entire research stack. By focusing on helping researchers decide what to do next, the company aims to exponentially increase the rate of scientific breakthroughs.

Strategic Investment and Future Growth

The substantial $70 million seed funding places the company at an approximate valuation of $250 million, reflecting significant investor enthusiasm. The round was supported by top-tier venture firms and notable angel investors like Google's chief scientist Jeff Dean. This strong financial backing provides Edison with the resources needed to pursue its ambitious long-term goals.

Edison plans to use the new capital to expand its team, recruiting top talent in AI, biology, and software engineering. The investment will also accelerate the commercial rollout of its platform and fund key product enhancements. Future developments will focus on making Kosmos more autonomous and deepening integrations with laboratory information systems.

Expanding Access and Fostering Open Science

As part of its commitment to accelerating science globally, Edison is making its platform more accessible to the academic community. The company will provide students and academic researchers with a generous number of free credits each month. This initiative is designed to put powerful research tools into the hands of the next generation of scientists.

Reinforcing its dedication to collaborative progress, Edison has also announced a major update to PaperQA, its popular open-source literature review agent. This commitment to open science ensures that foundational tools remain available to the entire research ecosystem. The company aims to elevate the practice of science for everyone by balancing commercial and open-source efforts.


With its significant new funding and a clear vision, Edison Scientific is poised to make a profound impact on the pace of discovery. By equipping researchers with powerful AI co-scientists, the company is helping to architect a new, faster era of scientific inquiry. This integration of AI into the lab holds the promise of solving some of humanity's most pressing health challenges.