The intelligence layer, fitted to your business. Model agnostic. Built only for growth.

Growth memoryWhat using the platform produces

Every decision is stored with its evidence and its result. The priors behind the next answer move each time.

decision tracesworld modelcausal priors
WorkspaceWhere the work happens

One surface for growth work, plus plugins for the tools the team already sits in.

unified workspacesheets, ad manager and chat plugins
AgentsReasoning, scoped

Specialist agents routed by a planner. Each call gets only the context it needs.

context assemblymulti agent orchestration
ExperimentsHow a claim becomes evidence

One variable isolated, budget matched, split by person, stopping rule set before launch.

test designpower and MDEresults written back
Statistical modelsWhat language models cannot do

Causality, content scoring and forecasting stay statistical.

MMMSystem 2 AttributionpCTR scoringforecasting
MeasurementFirst party signal

Conversion and content signal read from your own surfaces.

web pixelmobile SDKcontent engagement
Data foundationOne grain, every source

Every field anchored to a canonical entity, so cost means one thing across networks.

canonicalizationfunnel aware warehouseintegrations
Model layerFungible by design

Frontier, vision, diffusion and small open models, routed per task and swapped when better ones ship. Nothing above depends on which one is running.

task routingper model promptingeval gate before release

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