Boutique ML Consulting

Instilling confidence through advanced analytics.

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

57.3%

lift in default-prediction precision after model rebuild & revalidation.

12wk
delivery
100%
SR 11-7
3x
inference

Capabilities

Three disciplines, one engagement model.

We assemble small senior teams that pair with yours — diagnosing fast, building responsibly and leaving documentation a regulator can read.

Data Science

Predictive modeling, causal inference and decision systems that move the metrics your business actually reports on.

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MLOps

Production ML platforms — pipelines, feature stores, monitoring and rollback — engineered for scale and auditability.

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Model Risk Management

Independent validation, governance frameworks and documentation aligned with SR 11-7, EU AI Act and PRA SS1/23.

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Our Approach

Senior practitioners. No layers.

01

Diagnose with rigor

Two-week assessments map data, models and risk posture against business objectives — surfacing what to fix and what to leave alone.

02

Build for production

Every artifact we deliver — notebook, pipeline, validation report — is written to be re-run, audited and extended by your team.

03

Hand over completely

We embed knowledge transfer into the engagement so the platform thrives long after we leave. No lock-in, no black boxes.

Considering a model build, audit or platform rebuild?

Tell us about the engagement. We respond within two business days.

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