Capture the primary signals that usually stay trapped in the room.
Simulation 95
Simulation engines for real systems.
What if software understood the work before it answered?
Simulation 95 builds the ingestion layer, governed data asset, and simulation engine that let teams observe, test, and improve complex operations.
We start in healthcare, where the difference between a dashboard and a living model is not aesthetics. It is whether the system can reason from the work itself.
The problem
Most software waits for instructions. The systems that matter most need something closer to field intelligence: what happened, why it happened, and what is likely to happen next.
A clinical workflow is not a form. It is a live stream of timing, decisions, exceptions, handoffs, and human judgment.
The model
Build the engine from the workflow, not the slide deck.
Turn messy workflow data into one governed operating memory.
Test interventions before they touch the live system.
Architecture
Raw workflows in. A working engine out.
Primary data
Collect the raw signals other systems miss.
Core engine
Structure those signals into a durable operating layer.
Deployment nodes
Run the system where the work actually happens.
Data flywheel
A restrained loop for high-stakes systems.
- 01
Capture
Instrument the real workflow without asking people to become data clerks.
- 02
Aggregate
Join events, language, timing, and outcomes into a usable model substrate.
- 03
Simulate
Run counterfactuals, risk checks, and scenario tests against the engine.
- 04
Improve
Ship the best next action back into the workflow and keep learning.