Decision infrastructure built on proven cause and effect.
Decimitry builds the Causal Genome: a library of mathematically proven cause-and-effect mechanisms extracted from complex systems, delivered as deterministic Decision APIs. So enterprises and governments can see why things happen, test interventions before making them, and act with confidence.
Partnership with bne IntelliNews · US channel via Compass Solutions · Completed pilot with Events DC
Prediction tells you what. Decimitry tells you why, and what if.
Machine learning and LLMs pattern-match the past. That breaks exactly when decisions matter most: when conditions change, data is scarce, and the question is an intervention, not a forecast.
Cause, not correlation
We extract and mathematically prove the mechanisms that generate your data, not the surface patterns in it. Proven mechanisms explain themselves and survive regime change.
Continuous in time
Real systems don't move in batches. Our calculus-based models embed data into equations that evolve continuously, and they work where data is sparse or minimal.
Counterfactuals you can act on
Simulate the intervention before you make it. Compare what will happen against what would have happened, and choose with the full consequence map in view.
“Decimitry Sciences has broken new ground in improving predictions from Machine Learning and AI by embedding the data into calculus models that are continuous in time.”
One pipeline: prove, simulate, decide.
Every mechanism Decimitry proves joins the Causal Genome, our growing library of cause-and-effect machinery. Decision APIs make it callable.
Map the causal machinery
From your operational data, even sparse, messy, or low-frequency, we extract the causal structure underneath: the mechanisms that actually drive cost, revenue, and risk. Each one is mathematically proven before it is used.
Test interventions in silico
Price changes, capacity shifts, policy moves: run them through the proven mechanisms first and watch effects propagate through the system over time.
Deliver decision-ready output
Ranked actions with quantified consequences and explicit assumptions: auditable reasoning your analysts, boards, and regulators can interrogate. Delivered as deterministic Decision APIs.
Working systems, named partners.
IntelliNews Lambda
A multi-year partnership with bne IntelliNews, building a newsroom platform powered by proven causal mechanisms and designed to cover more than 100 emerging markets.
US enterprise & government
A channel partnership bringing proven causal mechanisms to finance, healthcare, transportation, and government services clients.
Completed pilot
A pilot with Washington DC's official convention and sports authority that proved the value of causal mechanisms in event management.
See your decisions differently.
Thirty minutes with our team: bring a decision you face, and we'll show you what its causal map looks like.