Description
Edison Scientific is a commercial spinout of FutureHouse, a non-profit that set out to build an AI scientist. Its product, Kosmos, is described on the company's site as an AI system for research and development that works across the full R&D pipeline, from early hypothesis generation through clinical development and regulatory filing. The company is run by scientists and engineers from physics, biology, chemistry and AI backgrounds, and its current partnerships are with biopharma organizations such as Incyte Corporation and Population Health Partners.
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Kosmos reads scientific literature, analyzes experimental data, generates hypotheses, and can branch or steer an investigation mid-run rather than following a fixed script. It executes scientific workflows autonomously, and the company says it stays model agnostic, drawing on whichever frontier AI models are current rather than being tied to one vendor. Kosmos is also built to learn from an organization's own experimental history, decision patterns and proprietary data, so its output reflects a specific lab's past work rather than only public literature.
Edison Scientific points to a lineage of earlier research systems building toward Kosmos: ChemCrow (language agents for chemistry, 2022), PaperQA (a deep research agent, 2023), Aviary (trained AI agents for science, 2024) and Robin, which the company says produced AI-agent-driven biology findings published in Nature in 2025. Kosmos connects into a research team's existing workflow through Slack, Teams and email, surfacing findings as it advances an investigation instead of requiring scientists to check a separate dashboard.
The platform is aimed at biopharma companies and academic research institutions with drug development or life-science research programs, not individual users. It is offered as an on-premises deployment inside a customer's own infrastructure, and Edison Scientific says it is SOC 2 Type II compliant. Alongside the software, the company pairs customers with what it calls forward-deployed scientists who work directly with the client's research team. There is no self-serve signup or published pricing; access goes through a requested demo.
- CategoryScientific Discovery & Lab Tools
- Pricing ModelContact sales
- DeploymentOn-premises
Edison Scientific's Core Features
Autonomous literature review that reads and synthesizes published research relevant to a project
Hypothesis generation and mid-investigation branching based on interim results
End-to-end workflow execution from target identification through clinical development and filing
Model-agnostic architecture that draws on current frontier AI models rather than one fixed model
Learns from an organization's own experimental history and proprietary data
Slack, Teams and email integration so findings surface inside a team's existing tools
On-premises, SOC 2 Type II compliant deployment inside the customer's own environment
Forward-deployed scientists embedded with the client's research team alongside the software
How to use Edison Scientific?
Request access: Book a demo through the Edison Scientific site to discuss a research or drug-development use case.
Scope the deployment: Edison Scientific's team sets up the on-premises environment and connects Kosmos to relevant literature and internal data.
Run an investigation: Kosmos reads literature, proposes hypotheses, and executes experiments or analyses across the chosen research question.
Steer mid-run: Researchers can branch hypotheses or redirect the investigation as interim findings come in.
Review findings: Results surface through Slack, Teams or email as Kosmos advances the work.
Edison Scientific's Use Cases
- Drug discovery research
- Clinical development support
- Academic research acceleration
- Data-driven hypothesis generation
