One decision capability every system and agent can call.
Give Precise a cost, an outcome, and the choices your team can make. It returns what created value, what is likely to happen next, and the recommended move. The same capability sits inside a dashboard, an existing workflow, a customer product, or an AI agent, and every caller works from the same record.
Simple enough to work anywhere.
On his first day, Jordan, our CTO, pointed Precise at a public taxi dataset: trips, fares, tips, boroughs, hours. He named the cost and the outcome, and seconds later Precise ranked what contributed, with the confidence around each answer. That test was Jordan validating the system for himself, and what he found is why he wanted to work here: the rows can be anything. Media is the first market because it is a rich, urgent proving ground.
Typed in, typed out.
The box opens two ways: an HTTP API for services and pipelines, and a tool for agents that can hold a session and keep a long-running analysis warm across turns. Every run lands in the same record.
POST /v1/contribution or MCP tool: contribution.run
{
"rows": "s3://your-bucket/trips.parquet",
"cost": "fare_usd",
"outcome": "tip_usd",
"units": ["vendor","borough","hour"],
"window": "2026-06"
}
→ 200
{
"units": [
{"name":"borough=JFK","contribution":0.212,"band80":[0.176,0.248]},
{"name":"hour=18-21","contribution":0.147,"band80":[0.121,0.173]},
{"name":"vendor=2","status":"still gathering data"}
],
"marginal": [
{"name":"borough=JFK","per_unit":1.31,"band80":[1.05,1.58]}
],
"record": {
"id":"run_8f3a", "inputs_hash":"9c41…", "settings_hash":"b07d…",
"logged":"before-action", "rerun":"exact"
}
}
Every answer carries its record.
Each run writes a record connecting the choice, the prediction, the confidence, and the result. Anyone with permission can check the evidence and reproduce the answer. People, systems, and agents can experience Precise differently while working from the same source of truth.
It grades the systems you already run.
Precise connects to the software your business already runs and begins grading the decisions flowing through it. Existing logic keeps working while the record shows which changes earn their place.
Discipline is built into the machine.
Every Precise capability follows the same operating rules. It declares what it can do, measures its confidence, records each run, and adopts an improvement only when the evidence supports it. That discipline lets us move quickly while keeping the work governed, auditable, and ready to operate inside serious businesses.
Start with one dataset.
Choose one dataset, one cost, and one outcome, and let Precise show what contributed and what to do next. Once the value is clear, the same intelligence moves into every place your business makes that decision.