Theo
The Theo Platform is a research environment built to help researchers iterate faster, validate rigorously, and reach verified results they can trust
01
Multiple models in one workspace
Frontier models, side by side with Theo models in the same workspace, so you can compare outputs instead of gambling on one.
02
Verify before you publish
Stress-test your research so a wrong assumption only costs an afternoon, not a resubmission.
03
Connects to what you already use
Lean, computer algebra tools, and the plotting and modeling software you already trust. New integrations added regularly.
Designed for researchers working with complex ideas and evolving workflows.
Assumptions change, hypotheses are refined, and early decisions often need to be revisited. Theo supports this work end-to-end.
Guided by domain-specialized AI
Theo's models are specifically trained to excel at scientific research.
Structure your research before you execute it
Build clear, complete research plans with guided validation (including questions, assumptions, methods, evaluation).
Steer research as it unfolds
Intervene at any step - adjust variables, assumptions, or methods throughout your research.
Re-run only what matters
Modify part of your research workflow without restarting everything.
See how results were produced
Inspect each stage of reasoning and execution, not just the final output.
Catch gaps early
Surface missing assumptions, unclear metrics, or weak methodology before spending any time or compute resources.
Automated mathematical conjecturing
Theo can help you explore the underlying structure of data to generate plausible relationships for further investigation.
Start with your research domain
Work within established mathematical fields or upload your own structured datasets to explore relationships across known objects and properties.
Define the conjecturing universe
Select the invariants, properties, and targets you want to investigate, guiding the search toward questions relevant to your research.
Explore conjectures with context
Review candidate conjectures alongside their supporting evidence, definitions, and assumptions to evaluate which statements are worth pursuing further.