Demonstration only. Corollary is a non-commercial research demo — no warranty, no support, not for commercial use or clinical decisions. Read the disclaimer

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Corollary vs Google AI co-scientist and Gemini for Science

Google's AI co-scientist generates hypotheses and research proposals, and is open by interest form or enterprise preview. Corollary is open to anyone, free for non-commercial research, and does the analysis itself on its own machines.

The short answer

Gemini for Science, announced at Google I/O in May 2026, groups Google's science tools. Co-Scientist, a multi-agent Gemini system, generates and debates hypotheses and drafts research proposals; for individuals it is still at the 'express interest' stage, and for organisations it is a restricted preview in Gemini Enterprise. Science Skills, an open-source bundle of database and tool skills, runs in Google's Antigravity agent on your own computer.

Corollary sits further down the line, where a hypothesis meets data. Its agent runs bioinformatics programs, nf-core pipelines and 145 open scientific models for you, with no hardware of your own, and anyone can use it today. It is a non-commercial research demonstration.

Choose Co-Scientist for hypothesis generation from Google, once you have access. Choose Corollary when you need the analysis done now.

Side by side

What it is
CorollaryA research agent with a Linux machine of its own, and a library of open scientific models, programs, databases and pipelines it runs for you.
Google AI co-scientistGoogle's science tools: Co-Scientist, a multi-agent Gemini system that generates hypotheses and research proposals, alongside Computational Discovery and Literature Insights.[1][4]
How you use it
CorollaryIn the browser, with a free account or signed out. Nothing to install. Also a developer API and an MCP server.
Google AI co-scientistFor individual researchers, Hypothesis Generation is at 'express interest' on Google Labs. The enterprise Co-Scientist is a restricted preview in Gemini Enterprise, through a Google account team.[3][4]
Price
CorollaryFree. 30,000 credits a month with an account, 1,000 signed out; database queries never use credits.
Google AI co-scientistNot published for Co-Scientist. Science Skills run in Antigravity, which has a free individual plan with basic limits.[4][6]
Commercial use
CorollaryNot permitted. Corollary is a non-commercial research demonstration, with no warranty or support.
Google AI co-scientistThe enterprise preview may be used commercially under the Google Cloud agreement; the Science Skills code is Apache-2.0.[4][7]
Where the work runs
CorollaryOn our servers: a Linux machine per conversation, and jobs of up to 32 cores, 256 GiB of memory and 24 hours for long runs.
Google AI co-scientistEnterprise Co-Scientist is a Google Cloud service. Science Skills run in Antigravity on your own computer, in a sandbox.[4][8]
Scientific AI models
Corollary301 models in the library, 145 of them run here — GPU included, with no setup and no key of your own.
Google AI co-scientistCo-Scientist can call AlphaFold only in select research collaborations. The AlphaGenome skills need your own API key.[2][7]
Programs and pipelines
Corollary43 bioinformatics programs installed or run as jobs, and 143 nf-core pipelines.
Google AI co-scientistScience Skills: open-source skills for life-science databases and tools, with dependencies installed on your machine.[7]
Databases
Corollary53 public databases queried live, with no API key of your own.
Google AI co-scientistMore than 30 life-science databases and tools through Science Skills; Co-Scientist uses web search, ChEMBL and UniProt.[1][2]
Language model
CorollaryChosen and paid for by Corollary. No API key of your own.
Google AI co-scientistGemini.[2][5]
Open source
CorollaryNo. The service is closed source; the models, programs and pipelines it runs are open.
Google AI co-scientistCo-Scientist: no. Science Skills: yes, Apache-2.0.[7]
Your files
CorollaryUploaded to our servers and kept in the conversation's workspace. Some of our processors are in the United States.
Google AI co-scientistEnterprise: under Google Cloud's data processing terms. Antigravity's individual plan: interactions may be used to improve Google's products and reviewed by people, unless you opt out.[4][9]

Google AI co-scientist's column is from its own public pages, read on 24 October 2026; the numbers link to them below. Corollary's figures are counted from the platform itself and each one links to the page that lists them.

Where Google AI co-scientist is the better choice

  • Hypotheses tested in the lab: drug-repurposing candidates for AML were confirmed in vitro, in a paper in Nature.[10]
  • Google's model and tool family in one place: Gemini, AlphaEvolve and its notebook tools.[1]
  • Enterprise use under Google Cloud terms, including commercial use of the preview.[4]
  • Open-source Science Skills you can run in your own agent, free.[7][6]
  • Scientists can apply for Antigravity's top usage tier free, with 10,000 places.[5]

Where Corollary is the better choice

  • Available today, to anyone, without an interest form or an account team.
  • It does the computation, not only the hypotheses: 43 programs, 143 nf-core pipelines and 145 models run for you.
  • Free: 30,000 credits a month.

Try the same work on Corollary

Ask in plain language. The agent works on a Linux machine of its own: it installs and runs what the job needs, keeps every file, and reads the results back with the numbers explained.

Questions

Is Corollary a free alternative to Google AI co-scientist?

Corollary is free: 30,000 credits a month with an account, and database queries never use credits. It is a non-commercial research demonstration, so it is not an alternative for commercial work — for that, Google AI co-scientist or one of the other options below may be the right choice.

Can I use Google's AI co-scientist?

Not generally yet. For individual researchers it is at the 'express interest' stage on Google Labs; for organisations it is a restricted preview in Gemini Enterprise, arranged through a Google account team.

What is the difference between Co-Scientist and Corollary?

Co-Scientist is built to generate and rank hypotheses and draft research proposals. Corollary is built to do the analysis: it runs programs, pipelines and models on data, on machines of its own, and reports what came back.

Sources

  1. [1]Google — Gemini for Science at I/O 2026 (19 May 2026)
  2. [2]Google DeepMind — Co-Scientist (19 May 2026)
  3. [3]Google Labs — science
  4. [4]Google Cloud docs — Co-Scientist and AlphaEvolve in Gemini Enterprise (22 October 2026)
  5. [5]Google Antigravity — for science
  6. [6]Google Antigravity — pricing
  7. [7]science-skills (GitHub)
  8. [8]Google Antigravity — sandbox
  9. [9]Google Antigravity — terms
  10. [10]Co-Scientist paper (Nature, 19 May 2026)

Written by Corollary Labs, which makes Corollary — read it with that in mind. Everything said about Google AI co-scientist comes from the sources above as they read on 24 October 2026; products change, and if a line here is out of date, write to hello@corollary-labs.com and we will correct it. Google AI co-scientist and the other names here are trademarks of their owners, used only to identify their products. Corollary is a non-commercial research demonstrator. It is provided free of charge, without warranty or support, and must not be used for commercial purposes or relied upon for clinical, diagnostic, regulatory or safety-critical decisions.

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