Tool overview
Edison Scientific is listed under AI for Science AI tools.
What is Edison Scientific?
Edison Scientific develops Kosmos and a broader scientific-agent platform for research and development. The system reads literature, analyzes data, runs computational investigations, generates hypotheses, and supports enterprise R&D through cloud, API, and on-premises deployments.
Best for
Research organizations applying autonomous agents to high-value scientific investigations
Who is it for?
Decision note
Rebuilt from the original export under V412/V411 independent factual verification. Preview only; Apply requires Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, reviewed explicit clears, image import disabled or V380 PASS, representative edit-screen comparison, and a zero-change post-Apply Preview.
Key features
Kosmos autonomous scientific investigation workflows
Literature, Analysis, and Precedent research agents
API access for scientific analysis agents
On-premises enterprise platform with embedded scientists
Use cases
Investigate scientific hypotheses across literature and data
Run iterative analysis in managed notebook environments
Accelerate biopharma and experimental R&D programs
Provide researchers with specialized scientific agents
Pros
- Free monthly credits remain for core research agents
- API and enterprise on-premises options are documented
- Combines software with forward-deployed scientific expertise
Limitations
The earlier $200-per-run Kosmos launch price is no longer a reliable current entry price because founding subscriptions ended and new subscriptions are being introduced.
Outputs require independent scientific validation, statistical review, reproducibility checks, domain expertise, and appropriate experimental controls.
Pricing details
Billing options
Pricing note
All users continue to receive 10 monthly credits for core research agents. Founding Kosmos subscriptions have ended, new subscriptions are being introduced, and current enterprise Kosmos access is sales-led.
Supported languages
- English
Integrations
Scientific literature
Jupyter notebooks
Research datasets
Enterprise R&D data
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