Problems we are hired to solve.

Promising pilots that cannot reach real data, pass security review or prove they work.

Tool-calling agents and RAG inside your environment, with evaluation harnesses and guardrails.

Brittle pipelines, slow queries and a platform that has not kept up with the business.

Warehouse or lakehouse, streaming and orchestration, with a clear architecture your team can extend.

Different teams reporting different numbers for the same metric.

Governed golden datasets, a semantic layer and BI that executives and finance rely on.

Tests that are hard to run, harder to read, and decisions made on noise.

An A/B testing platform with governance, experiment readouts and causal measurement.

Rising contact volume, staffing guesswork and AI tools nobody can evaluate.

Forecasting and staffing models, deflection, agent assist and outcome-based AI evaluation.

Regulatory pressure, unclear data ownership and AI shipped without oversight.

Privacy engineering, data sovereignty, access controls, quality automation and human review of AI.

A capability needed in weeks, such as data work under a deal timeline.

A senior pod that stands up compliant capability fast, including M&A diligence data work.