Every engagement below was delivered by a small team using our AI-native methodology. No knowledge transfer required. No ramp-up time. Production-grade, repeatedly.
The Challenge: Client needed integration across multiple interconnected products with no documentation and no handoff window.
The Result: Delivered with no knowledge transfer, no handoff. 1 person, 4 weeks.
The Challenge: Production-ready Epic FHIR integration for a hospital system with 850+ beds. Zero tolerance for PHI exposure.
The Result: PHI-compliant serverless application. Production-ready in 4 weeks. Multi-phase expansion roadmap generated.
The Challenge: Enterprise needed to analyze utility invoices across distributed operations — water, electric, gas — to identify billing gaps and overcharges.
The Result: AI agent mapping unstructured invoices to discrete data elements. Enterprise-grade in 4 weeks.
The Challenge: Vague initial scope — "integrate with our supply chain partner." Federal compliance deadline looming.
The Result: 44-requirement product spec. Full architecture. Absorbed a major mid-project pivot without losing momentum. Delivered in 8 weeks.
The Challenge: Build a comprehensive healthcare marketplace covering hundreds of cities and tens of thousands of providers.
The Result: 3-stage data pipeline. 96%+ data match rate across tens of thousands of records. 100+ medical specializations mapped. SEO infrastructure built in.
The Challenge: 3-person founding team needed enterprise-grade care management with full interoperability.
The Result: Complete platform with capability map, prioritized roadmap, competitive intelligence, and marketing collaterals. Enterprise-grade in under 6 weeks.
Before our AI-native evolution, we built and operated a BOTT/GCC engagement scaling from 0 to 450+ people — proving we deliver at any scale the mission demands.