Audience
Scientific researchers and R&D organizations looking for a tool to accelerate discovery, analyze complex datasets and automate end-to-end research workflows using AI
About Edison Scientific
Edison Scientific is an AI platform designed to automate and accelerate scientific research, enabling users to move from hypothesis to validated results within a single environment. The platform integrates literature synthesis, data analysis, and molecular design workflows, allowing research teams to complete end-to-end scientific investigations at dramatically increased speed. At its core is Kosmos, an autonomous research system that performs hundreds of research tasks in parallel, transforming multimodal datasets into comprehensive reports with validated findings and publication-ready figures. Kosmos synthesizes scientific literature, public databases, and proprietary datasets, identifies novel therapeutic targets, uncovers biological mechanisms, and supports the iterative design and optimization of molecular candidates. Validated in real research settings, Kosmos has demonstrated the ability to achieve results that typically require months of human effort in a single day.
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Edison Analysis
Edison Analysis is a next-generation scientific data-analysis agent built by Edison Scientific. It is the analytical engine underpinning their AI Scientist platform, Kosmos, and it’s available both on Edison’s platform and via API. Edison Analysis performs complex scientific data analysis by iteratively building and updating Jupyter notebooks in a dedicated environment; given a dataset plus a prompt, the agent explores, analyzes, and interprets the data to provide comprehensive insights, reports, and visualizations, very much like a human scientist. It supports execution of Python, R, and Bash code, and includes a full suite of common scientific-analysis packages in a Docker environment. Because all work is done within a notebook, the reasoning is fully transparent and auditable; users can inspect exactly how data was manipulated, which parameters were chosen, how conclusions were drawn, and can download the notebook and associated assets at any time.
Learn more about Edison Analysis
Gemini for Science
Gemini for Science powers scientific discovery with AI tools and resources built to support scientific endeavors. It brings together experimental tools on Google Labs and science workflows in Google Antigravity to accelerate research, sharpen reasoning, and help researchers explore the future of AI-powered scientific discovery. Literature Insights synthesizes scholarly literature to identify new research opportunities, create grounded research artifacts, and extract paper data into queryable tables mapped directly to source evidence. Hypothesis Generation uses a multi-agent system that simulates the scientific method to identify knowledge gaps, generate potential research directions, and propose testable research plans for breakthrough discoveries. Computational Discovery helps researchers discover models and algorithms by using an agentic research engine that generates and scores code variations based on user-defined optimization metrics.
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Mira
Mira is a web-based AI scientist platform for scientific and materials R&D. It helps researchers review literature, organize evidence, develop hypotheses, plan computational workflows, and summarize results. Task-oriented AI agents combine project context with scientific tools and computation to support work from research question through analysis and reporting. Use cases include chemistry and materials research, molecular design, protein-related workflows, and reproducing published procedures. Project workspaces help retain context across tasks, while workflow views and generated reports let users inspect and organize outputs. Mira is designed for scientists and R&D teams seeking assistance with literature-driven investigation and computational research; its outputs support, rather than replace, expert scientific judgment.
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FutureHouse
FutureHouse is a nonprofit AI research lab focused on automating scientific discovery in biology and other complex sciences. FutureHouse features superintelligent AI agents designed to assist scientists in accelerating research processes. It is optimized for retrieving and summarizing information from scientific literature, achieving state-of-the-art performance on benchmarks like RAG-QA Arena's science benchmark. It employs an agentic approach, allowing for iterative query expansion, LLM re-ranking, contextual summarization, and document citation traversal to enhance retrieval accuracy. FutureHouse also offers a framework for training language agents on challenging scientific tasks, enabling agents to perform tasks such as protein engineering, literature summarization, and molecular cloning. Their LAB-Bench benchmark evaluates language models on biology research tasks, including information extraction, database retrieval, etc.
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Pricing
Starting Price:
$50 per month
Free Version:
Free Version available.
Integrations
No integrations listed.
Company Information
Edison Scientific
Founded: 2025
United States
edisonscientific.com
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
Edison Scientific Frequently Asked Questions
Q: What kinds of users and organization types does Edison Scientific work with?
Edison Scientific works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Edison Scientific support in their product?
Edison Scientific supports these languages: English.
Q: What kind of support options does Edison Scientific offer?
Edison Scientific offers support via online.
Q: What type of training does Edison Scientific provide?
Edison Scientific provides training in the form of documentation.
Q: How much does Edison Scientific cost?
Pricing for Edison Scientific starts at $50 per month.
