Data Science
Predictive modeling, causal inference and decision systems that move the metrics your business actually reports on.
Read moreBoutique ML Consulting
We help organizations harness data, ship dependable ML systems and govern model risk — with the precision regulators and engineers both demand.
Engagement Snapshot
Q3 retail credit portfolio
lift in default-prediction precision after model rebuild & revalidation.
Capabilities
We assemble small senior teams that pair with yours — diagnosing fast, building responsibly and leaving documentation a regulator can read.
Predictive modeling, causal inference and decision systems that move the metrics your business actually reports on.
Read moreProduction ML platforms — pipelines, feature stores, monitoring and rollback — engineered for scale and auditability.
Read moreIndependent validation, governance frameworks and documentation aligned with SR 11-7, EU AI Act and PRA SS1/23.
Read moreOur Approach
Two-week assessments map data, models and risk posture against business objectives — surfacing what to fix and what to leave alone.
Every artifact we deliver — notebook, pipeline, validation report — is written to be re-run, audited and extended by your team.
We embed knowledge transfer into the engagement so the platform thrives long after we leave. No lock-in, no black boxes.
Tell us about the engagement. We respond within two business days.