Causaly vs Edison Scientific (2026)
Causaly and Edison Scientific support scientific investigation through agents that search evidence and develop conclusions. Causaly organizes biomedical knowledge and repeatable research workflows; Edison's Kosmos pursues a research objective through extended literature and computational analysis. Causaly combines Agentic Research with Bio Graph, Pipeline Graph and internal enterprise evidence. Deep Research pairs a Research Agent with an automated investigator that critiques evidence and requests targeted follow up. Scientists receive reasoning, assumptions and limitations for review. Individual Pro access starts at $99 per month, while enterprise data connections and workflow design are separately scoped. Customer productivity claims lack controlled measurement detail. Kosmos accepts an objective and dataset, runs analysis code and builds hypotheses through a structured world model for up to 12 hours. Reports link statements to literature or code, with review occurring after the run. Its technical report describes seven discoveries and an external assessment of statement accuracy within a company led study. Edison acknowledges that statistically significant findings can still be scientifically irrelevant. Causaly fits teams repeatedly exploring targets, biological relationships and competitive programs through a shared research interface. Edison fits teams assigning a dataset and open research objective to a longer computational investigation. Both leave scientific interpretation and the choice of subsequent experiments with researchers.
- Biological relationships and competitive pipelines need recurring investigation.
- The team wants repeatable research methods and internal evidence access.
- An automated critique should precede the scientist's review.
- A priced individual subscription is useful.
- Research begins with an objective and dataset for analysis.
- The task benefits from extended code execution and literature search.
- Reports need links to executable analysis and source material.
- An enterprise wants custom world models in its own environment.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Causaly and Edison Scientific are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Causaly | Edison Scientific |
|---|---|---|
| Primary category | Drug Discovery AI | Drug Discovery AI |
| Founded | 2018 | 2025 |
| Headquarters | London, United Kingdom | San Francisco, California, United States |
| Website | causaly.com | edisonscientific.com |
Side by Side
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Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Causaly supplies scientific AI software for pharmaceutical, biotechnology and academic research. Its agents combine biomedical literature, knowledge graphs and an organization's internal evidence to investigate questions, compare findings and produce assessments. Bio Graph maps biological relationships, Pipeline Graph supports competitive research, and Scientific Workflows turns a team's methods into repeatable research tasks.
Source: AI Health Index, October 2026
Edison Scientific is the commercial spinout of the nonprofit research lab FutureHouse, formed in November 2025 to run its AI scientist platform. Its flagship agent, Kosmos, takes a research objective and a dataset and runs for up to 12 hours, reading literature, executing analysis code and generating hypotheses through a structured world model, then returns a report in which every statement is cited to code or a source.
Source: AI Health Index, October 2026
Questions buyers ask
How do Causaly and Edison Scientific work with the EHR?
Causaly also demonstrates access through Microsoft 365 Copilot. Its enterprise data fabric supports APIs and connectors for customer stores in Azure, Google Cloud and AWS, with custom connections available for other material.
With Edison Scientific, the direction of any data flow, and where it runs in production, are not described either. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 15, 2026. No vendor pays for placement.
How are Causaly and Edison Scientific priced and sold?
In Causaly's case, a Team plan is advertised at $250 per seat monthly for three to fifteen seats, with pooled credits, but remains marked as coming soon in October 2026.
For Edison Scientific, the Kosmos announcement of 5 November 2025 launched it at $200 a run (200 credits at $1 a credit), with free usage for academics and founding subscriptions that lock in the $1 credit price, and says the price "ultimately will probably be higher"; users sign up on the platform without contacting sales, and enterprise deployments are quoted separately. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 15, 2026. No vendor pays for placement.
How do Causaly and Edison Scientific handle patient data?
Causaly Research's newer terms distinguish uploaded customer content from prompts, usage and personalization information; protection for performance data is broader on the Team plan than on individual subscriptions. The processing addendum sets a termination return or deletion process within 90 days, subject to legal retention.
The privacy policy (effective 30 October 2025), which covers the platform's inputs and outputs, says Edison does "not and will not intentionally train on any user's uploaded data, such as any scientific data that may be uploaded". It does train on what it calls trainable data, meaning agent trajectories and user interaction data, unless the user opts out in the account. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 15, 2026. No vendor pays for placement.
Which settings and specialties do Causaly and Edison Scientific cover?
For Causaly, the broader catalog also covers indication expansion and competitive intelligence, without equivalent evaluation for every workflow. Individual researchers and smaller teams now have a separate access route, but their subscription availability does not itself establish performance across every scientific specialty.
With Edison Scientific, the technical report's discoveries span metabolomics, materials science, neuroscience and statistical genetics, and the home page positions Kosmos across the drug development lifecycle from target identification through clinical development and filing, for biopharma organizations and academic researchers. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 15, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Drug Discovery AI page.
Causaly is based in London and Edison Scientific in San Francisco. Edison's $200 per run figure is a historical launch price. Enterprise terms are negotiated for both, and Causaly's advertised Team plan remains forthcoming.