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The AI co-scientist,
accelerating your research.

By the lab that built Virtuous Machines: Towards Artificial General Science

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Trusted by researchers at

Harvard University
MIT
Stanford University
University of Oxford
University of Cambridge
NASA
World Health Organization
Princeton University
Caltech
UC Berkeley
Columbia University
University of Pennsylvania
UCL
Duke University
NYU
The University of Queensland
The University of Melbourne
National University of Singapore
The University of Sydney
Harvard University
MIT
Stanford University
University of Oxford
University of Cambridge
NASA
World Health Organization
Princeton University
Caltech
UC Berkeley
Columbia University
University of Pennsylvania
UCL
Duke University
NYU
The University of Queensland
The University of Melbourne
National University of Singapore
The University of Sydney
§ I · The platformSee all features →
§ III · Where your science stands

An evaluation for science.

Most quality signals arrive too late to act on, but the Calibre score doesn't. A 0-100 number broken down by where the work is strong and where it needs revision. So you have the specifics to improve, and see the weak points before a reviewer does.

What a Calibre score measures.

§ A

Allignment of design and question.

How well your study's approach can actually answer the question it sets out to ask.

§ B

Statistical and analytical soundness.

How well the analytical work behind your results - statistics, models, reasoning - holds up.

§ C

Conclusions sized to the evidence.

How well your claims are matched to the data behind them, measured against the standards of your field.

Review summary
Effects of mitochondriral respiration on cardiac regeneration
Gold Tier

Could reach 96

Analytical Approach
−0.0
Interpretive Rigor
−0.0
Reporting Quality
−0.0
Ethical Conduct
+0.0
Scholarly Grounding
+0.0
Research Design
+0.0
Contribution
+0.0
Data & Evidence
+0.0
v1v2v3v4v5
v5Kinematics §3 tightened; simultaneity defined operationally96
§ IV · Why our tools work

Three unique elements.

Deep dive →
01 / Models

A mixture of models, better than any one.

Every frontier model orchestrated: Claude, GPT, Gemini, Mistral, Grok, alongside our Explorer One model. Single-model bias removed by design.

02 / Infrastructure

An in-house science stack, scaling discovery.

The scientific method, automated with durable memory, verification at the source, and drawing from external data, not an LLM talking to itself.

03 / Multi-Agent

Scientific agents that think like the field.

Enhanced with principles from human cognition to reason and act like scientists do. Specialised with tools, dynamically constructed to meet task complexity. Built and proven to do science.

The architecture underlying our tools runs science autonomously.See research →

§ V Pricing

Free isn't a trial, it's a tier.

Your first project is on us: a full review, then keep refining it with Rosa. Upgrade to take on more projects and tools: Researcher from $99/mo, Pro $199/mo, Institution by conversation.

§ VI What scientists are asking

FAQ

See all 13 questions →

From our lab to yours. Use it today.

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An AI scientist for working scientists · Explore Science