Separation & accuracy
KS, Gini, AUC, calibration and PSI tracked over time, segment, and vintage — with significance bands instead of vibes.
Spotlight — Watchtower
Watchtower is our advanced model performance and observability platform — a single pane of glass for separation, drift, accuracy and stability across every model in production. Built for regulator-grade reporting, narrated by AI for management.

single pane of glass replacing the patchwork of dashboards, spreadsheets and quarterly PDFs.
continuous monitoring across separation, drift, latency, fairness, and cost.
EU AI Act, PRA SS1/23 and NIST AI RMF report packs generated on demand, not assembled overnight before committee.
Inside Watchtower
One platform replacing the patchwork of dashboards, spreadsheets and quarterly PDFs your model risk function lives in today.
KS, Gini, AUC, calibration and PSI tracked over time, segment, and vintage — with significance bands instead of vibes.
Population stability, feature distribution shifts, and concept drift triangulated against ground-truth lag.
Latency, throughput, error budgets and inference cost — your SRE telemetry joined to your model telemetry.
An on-board analyst surfaces the why behind every alert: which segment moved, which feature drifted, what to do next.
One-click exports mapped to SR 26-2, OCC 2026-13, the EU AI Act, PRA SS1/23, and NIST AI RMF — same numbers your dashboards show, with narrative.
Executive views, trend commentary, and red-amber-green roll-ups your CRO can take into the next committee meeting.
How it works
Stream predictions, features, and outcomes from any platform — SageMaker, Databricks, Vertex, or your own inference services.
Watchtower learns each model's baseline distribution, performance envelope, and seasonality from its own history.
Live dashboards for separation, drift, latency, and bias — with the on-board analyst narrating every material change.
One-click packs for model risk committees and regulators — the same numbers your engineers see, framed for the audience.
We run scoped pilots on a single model so you see the value before committing to a platform rollout.