Power BI and Microsoft Fabric reports, the semantic models behind them, and the pipelines that keep them refreshed. The usual starting point is a report someone assembles by hand in Excel every month. The usual result is the same report, refreshed from the source database, with nobody assembling it.
Forecasting, clustering, topic modeling, and one-off statistical analysis. Each one ships as a scheduled pipeline or an app your team runs, with tests and a runbook, so it keeps working after the engagement ends.
Web applications that replace the spreadsheets and email threads a team runs its operations through: data-entry systems with validation and role-based access, internal tools, and AI assistants that answer staff questions from your own documents.
Analytics and digital product solutions, built with AI in the loop.
The first call and the proposal cost nothing. After we agree on scope, we build with AI coding tools in the loop and review everything they produce. Most engagements run six to twelve weeks from kickoff to handoff.