The people-analytics platform
An end-to-end pipeline — from messy HR exports to board-ready workforce intelligence — built on a canonical data model you own.
Everything runs on one canonical workforce model
Every connector lands in a governed Bronze→Silver→Gold pipeline: raw ingestion, standardized entities, then analytics-ready facts. The result: one version of the truth for headcount, attrition, mobility, skills and cost.
Ingestion & connectors
40+ prebuilt connectors for HRIS, ATS, payroll and survey tools. Incremental syncs, schema drift detection and validation rules catch bad data before it reaches your dashboards.
Metrics studio
A curated library of governed metrics — every figure carries its definition, lineage and owner, so Finance and HR finally quote the same numbers.
Forecasting & alerts
ML-assisted forecasts for attrition, hiring demand and workforce cost, with configurable alerts when reality drifts from plan.
Governance & security
Role-based access, aggregation thresholds, audit trails and SSO. Employee-level data stays protected by default — analytics works on the minimum necessary granularity.
In the product
Governed dashboards, versioned metrics and an admin-only custom metric builder — running on your own data.
ML Studio turns the same governed data into forecasts and scenarios — attrition risk, hiring plans and headcount projections, computed on the canonical model.
AI that respects the governance boundary
Define governed LLM agents with allowlisted tools — governed SQL, metric explanations, mapping proposals, draft dashboards — that run over the Gold layer inside your access scope. The built-in assistant answers questions in natural language and returns charts and tables you can trace.
Who it is for
- HR leaders who need defensible numbers for the board
- People analytics teams tired of rebuilding pipelines
- Finance partners who want one shared version of workforce truth
- Executives making headcount and cost decisions
How it deploys
Runs as a containerized stack on your own infrastructure — private cloud or on-premises. Your data never has to leave your perimeter, and every component is observable and auditable.
See it on your stack
Bring your systems list — we will show you what the first 30 days look like.