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.
Your systems
Canonical workforce model
Versioned · Audited · Pseudonymized by default
Governed output
How it fits together
From your source systems to governed metrics — the pipeline, step by step.
One overview for the whole workforce
Headcount, movement and risk in one governed view — refreshed on your own cadence.
Connect the sources you already run
HRIS presets plus generic SQL/REST/file connectors — read-only, incremental, with drift surfaced.
Mappings you can audit
Canonical entity mapping is versioned and explicit — every transformation has an author and a date.
Dashboards backed by governed facts
Gold-layer facts behind every chart — numbers carry lineage, not just styling.
Reports that write themselves
Board packs assembled from the same metrics on a schedule — export PDF/PPTX, no re-keying.
Alerts before the quarter surprises you
Thresholds and anomalies on the metrics that matter — pushed to where your team reads.
Ingestion & connectors
Named presets for 19 HRIS suites — Workday, SAP SuccessFactors, Personio, Deel, BambooHR and more — plus generic SQL, REST and file connectors for whatever else you run. 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.
What the product produces
Governed dashboards, versioned metrics and an admin-only metric builder — every figure traceable back to the source row it came from.
Headcount
1,284
+12
Attrition
8.2%
−0.4pp
Open roles
57
+34
Cost vs plan
98.6%
on track
Headcount by month
Data quality
Attrition risk — forecast
within planFreshness by source
KPIs, trends, forecasts and source freshness — governed end to end, not exported to a spreadsheet.
ML Studio
Forecasts and scenarios — attrition risk, hiring plans and headcount projections — computed on the same canonical model your dashboards read from.
AI that respects the boundary
Governed LLM agents with allowlisted tools — governed SQL, metric explanations, mapping proposals — that run inside your access scope and return answers 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.
- On-premisesNo public runtime deps
- Pseudonymizedperson_id via HMAC
- AuditedEvery query logged
- Deny by defaultSuppression before exposure
See it on your stack
Bring your systems list — we will show you what the first 30 days look like.