QKSS

Case Studies

A few examples of AI and data work we've led.

Industry

Legal and healthcare records

The problem

Legal teams were spending hours manually reviewing case files and medical records to pull out the information they needed.

What we built

AI-powered document processing that extracts key legal and medical information from case files and records, with compliance controls built in.

Result

3x processing throughput while maintaining accuracy and compliance standards, with less manual review and faster case turnaround.

Industry

Power trading (ERCOT)

The problem

A trading client needed faster, better forecasts of ERCOT power prices and spreads, and model development was too slow to keep up.

What we built

ML and GenAI models for ERCOT LMP and DART spread forecasting, plus automated summaries for executives. We also moved the team onto AI-assisted coding and rapid iteration.

Result

5x faster model development and experiment turnaround, and a foundation the client is extending into its trading and decision-support pipeline.

Industry

Retail energy

The problem

A retail energy provider's leadership had operational, billing, and sales data in separate systems and no reliable view of customer churn.

What we built

A unified data warehouse, a customer churn forecasting model, and C-suite sales performance dashboards.

Result

One source of truth for the leadership team, with churn forecasting and KPI reporting used in commercial decisions.

Want to see what this could look like for your business?

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