San Francisco, CA, December 2025: Edison Scientific, a pioneering AI scientist startup, has raised $70 million in seed funding to accelerate the development of its cutting-edge artificial intelligence platform designed to transform the scientific research process — from early discovery to clinical trials.
The funding round was led by Triatomic Capital, Spark Capital, and a major U.S. institutional biotech investor, with participation from Pillar VC, Susa Ventures, Striker Venture Partners, Hawktail VC, Olive VC, and a select group of angel investors.
This significant capital infusion marks one of the largest early-stage rounds in the AI and biotech sectors, highlighting investor confidence in the company’s mission to revolutionize how research is conducted and discoveries are made.
Revolutionizing Scientific Research with AI
Founded by Sam Rodriques (CEO) and Andrew Tate (CTO), Edison Scientific is at the forefront of integrating AI scientists into every layer of the research stack — spanning basic discovery, molecular design, data analysis, and clinical validation.
The company’s proprietary platform allows researchers to move from hypothesis to breakthrough at unprecedented speed, leveraging AI to automate processes that typically take months or even years.
At the heart of Edison Scientific’s innovation is Kosmos, its advanced AI scientist, capable of performing hundreds of research tasks in parallel. Kosmos can synthesize scientific literature, design molecular compounds, analyze data, and even generate new hypotheses — enabling scientists to focus on creative insights rather than repetitive research workflows.
According to the company, Edison Scientific’s AI platform is designed to “empower researchers to move from question to breakthrough,” bridging the gap between human ingenuity and computational precision.
Commitment to Open Science: Launching PaperQA
Alongside the funding announcement, Edison Scientific also revealed a major release of PaperQA, its flagship open-source literature agent. PaperQA enables researchers and academic institutions to efficiently query and synthesize insights from millions of scientific papers.
The open-source release reflects the company’s commitment to open science and collaborative innovation. By making PaperQA freely available, Edison Scientific aims to democratize access to AI-powered research tools, ensuring that both startups and global research institutions can leverage artificial intelligence to accelerate discovery.
Sam Rodriques, CEO of Edison Scientific, commented on the company’s mission:
“Our vision is to enable every scientist to have an AI collaborator. By building tools that handle the complexity of data analysis and knowledge synthesis, we’re giving researchers the ability to focus on what truly matters — asking better questions and making meaningful discoveries.”
Funding to Drive Expansion and Innovation
The newly raised funds will be used to expand Edison Scientific’s operations, grow its engineering and research teams, and enhance its AI development capabilities. The company plans to deepen its partnerships with leading biotech firms and academic research centers globally, integrating its platform across multiple domains — from drug discovery and material sciences to genomics and medical diagnostics.
Andrew Tate, CTO of Edison Scientific, emphasized the impact of the company’s technology:
“With Kosmos and PaperQA, we’re redefining what’s possible in scientific research. Our tools help scientists cut through complexity, uncover insights faster, and move ideas from lab to life-saving innovation.”
Industry experts note that Edison Scientific’s funding reflects a growing convergence between artificial intelligence and life sciences, as investors increasingly back companies developing AI-driven solutions that accelerate research and improve efficiency in R&D.
The Rise of AI Scientists in Modern Research
The emergence of “AI scientists” represents a paradigm shift in how scientific progress is achieved. By automating repetitive research processes and augmenting human reasoning, platforms like Edison Scientific’s Kosmos are transforming how discoveries are made in fields such as biotechnology, pharmaceuticals, chemistry, and medical diagnostics.
As global demand for faster, data-driven innovation grows, AI-powered research platforms are becoming integral to the future of science — a future where human and artificial intelligence collaborate seamlessly.
Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape.