Edison Scientific has announced a successful $70 million seed funding round led by Triatomic Capital, Spark Capital, and a major US institutional biotech investor, with participation from existing backers including Pillar VC and Susa Ventures, Striker Venture Partners, Hawktail VC, Olive VC, and a distinguished group of angel investors from AI research, frontier AI labs, and the biotech and pharma sectors, marking a major step in its mission to transform the pace of scientific research with AI. Founded with the belief that “science is too slow,” Edison is building a platform that integrates AI Scientists across the full stack of research workflows – from basic discovery to clinical trials – with an ambitious goal of finding cures for all diseases by mid-century.” At the heart of Edison’s offering is Kosmos, an AI scientist capable of automating and accelerating complex research tasks such as literature synthesis, data analysis, and molecular design, enabling researchers to shift from hypothesis to validated results at unprecedented speed and scale, and the company also announced a major release of PaperQA, its flagship open-source literature agent, to support open science initiatives.
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Alongside the fundraising news, Edison detailed its plans to expand access to its platform, offering academic and student users 650 credits per month indefinitely while maintaining subscription and API pricing structures for broader usage, and positioning these tools to be deeply embedded in pharmaceutical and scientific workflows. Edison is actively recruiting top talent across software engineering, AI research, biological sciences, and generalist operational roles, stating “We need cracked software engineers who want to work on finding cures rather than selling ads and generating slop,” and calling for scientists and operators who can help integrate AI deeply into scientific processes and bring the company’s tools to industry users. The company’s vision for the future includes continued improvements to Kosmos such as enhanced data access, steerable exploration, and conversational interaction with its world model with the long-term aim of dramatically increasing the rate of scientific discoveries, particularly in biology and beyond.
