Systems in production. Numbers that moved.

The problem. Analysts spent the first 40 minutes of every session manually reading filings and news before they could act. The signal was old by the time it reached the desk.

What we built. Software that reads filings, transcripts and news as they arrive, scores the likely short term move, and pushes a ranked list into the tools the desk already uses.

The problem. Institutional knowledge was scattered across 100K+ documents in four systems. Keyword search returned noise, and experts became human search engines.

What we built. A search and answer tool that understands plain questions, respects who is allowed to see what, and links every answer back to the exact source paragraph.

The problem. Revenue, demand and staffing were each forecast in a different spreadsheet, by a different person, with a different method, and none of them agreed.

What we built. A single engine that takes any time series, blends statistical and deep models, and returns forecasts with honest confidence bands and a plain-language explanation.