Enterprise world models,built on persistent memory.
The Enterprise Simulation Layer
Turn governed first-party data into living memory.
Simulate decisions before they go live.
Measure real outcomes and recalibrate.
Built by engineers behind Microsoft Copilot and Amazon Alexa, alongside researchers from IIT, IISc, and NYU.
Posterior
Twins
A Posterior Twin is a memory-grounded distribution over likely behavior under a specific decision context. It models who moves, who hesitates, who defects, and how much uncertainty remains.
Persistent
Memory
Customer evidence is fragmented across CRM, CDP, transactions, loyalty, support, research, campaigns, and telemetry. Twinning Labs keeps that history together as persistent memory, so every simulation starts from who customers are now. The result is a living model of how people and markets evolve, not another static snapshot.
Decisions Ship
Untested.
Enterprises commit capital and inventory to decisions, only to learn what works after launch.
Simulate Before
You Commit.
Why learn after launch?
Twinning Labs simulates the population first.
Persistent Memory
Keeps customer and market history together as persistent memory, so twins stay current as people and markets change.
Posterior Twins
Builds Posterior Twins: memory-grounded distributions over likely behavior that evolve as new evidence, scenarios, and measured outcomes arrive.
Simulation Engine
Runs repeatable counterfactual scenarios to compare how modeled populations are likely to respond.
Decision Governance
Preserves assumptions, evidence lineage, drivers, and decision traces, so teams move from intuition to measured scenarios.