Metanthropic
for Science
We are building intelligence designed for the scientific method. Models that do not just generate answers, but derive proofs.
Scientific discovery is not about probable outcomes; it is about verifiable truth. To solve the hardest problems in physics, biology, and mathematics, researchers need more than a prediction engine—they need a reasoning partner.
Metanthropic for Science builds Interpretable Architectures that expose their chain of thought. By making the "why" as accessible as the "what," we empower scientists to trust, verify, and build upon AI-generated insights with absolute confidence.
Scientific Frontiers
View AllAutomated Theorem Verification
Integrating formal proof assistants (Coq/Lean) directly into the model's loss function to guarantee mathematical correctness.
Causal Protein Design
Moving beyond structure prediction to generating novel proteins with verifiable binding properties and known failure modes.
High-Fidelity Simulation
Using sparse attention to model complex particle interactions with O(n) complexity, enabling simulations previously considered impossible.
Instruments, not Oracles.
We treat AI as a precision instrument. Every output is designed to be inspected, critiqued, and verified by domain experts.
Transparent Reasoning
Our models provide a legible "Thought Trace" for every prediction. This allows researchers to audit the model's logic and ensure it aligns with physical laws.
Hypothesis Generation
We can ingest raw experimental data and propose testable, causal hypotheses, effectively acting as a co-investigator in the lab.
Reliable Citations
Our science-focused checkpoints are fine-tuned to retrieve and cite sources accurately, eliminating the "hallucinated citation" problem common in general models.
Accelerate your research.
We are partnering with select laboratories to pilot our Alpha-1 Science Model. Apply to join the cohort.
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