Results - Measured outcomes, not case study theatre.

When every new accounting standard or document type requires months of engineering work, the bottleneck isn't the model — it's the architecture. We built a platform where new variants ship through configuration, not code.

JSON templates define document schemas, extraction rules, validation logic, and output formats. Business teams configure and launch new workflows. Engineering stays focused on the platform, not on one-off implementations.

A major regulated financial institution needed to automate complex business combination reports. The existing process required multiple specialists working for weeks, manually assembling data from hundreds of source documents.

We built a production document intelligence platform with RAG, grounded generation, and full provenance tracking. First production version delivered in approximately 3 months.

Document processing at scale demands more than a good model — it demands engineering discipline. Throughput targets, unit-cost budgets, monitoring, and auto-scaling that actually works under load.

We built an OCR pipeline processing approximately 1 million pages per hour at $0.04 per 1,000 pages, with full cost monitoring and alerting baked in from day one.