Healthcare and finance need AI that works with their data, not around it.
Deploy
AI Implementation
The AI software is cheap. Making it work in a messy, real-world business is the hard part. Data readiness, system integration, production deployment.
Dark Factory
Autonomous AI agents that process documents, route data, and execute workflows without manual intervention. Scales without scaling the team.
Data & search
Clinical & Financial Data
Most AI tools ignore the hard part: getting structured data out of messy clinical and financial systems. The model is only as good as what you feed it.
Knowledge Search
Your organization already has the answers — buried in PDFs, internal wikis, legacy databases. Search that surfaces them with citations, not hallucinations.
Clinical Terminology MCP
Verified medical coding — SNOMED CT, ICD-10, RxNorm — available locally inside your AI assistant. No data leaves your network.
MLLP Server
HL7 v2.x messages over MLLP, parsed and routed. One binary, no runtime dependencies, no integration engine license.
Agents & automation
AI Agents
An agent without guardrails is a liability. Task-specific agents with defined boundaries, human-in-the-loop where it matters. No autonomous black boxes.
Workflow Automation
The bottleneck is rarely the algorithm. It’s the manual steps between systems — data routing, status checks, approval workflows.
Who this is not for
- You need a team of ten. I am one engineer. If the project requires a department, this is not the right fit.
- You want a demo, not a product. I do not build proof-of-concepts that end at the slideshow. Production or nothing.
- You are not in a regulated industry. Healthcare, finance, compliance. If none apply, you will overpay for guardrails you do not need.
- You need 24/7 support SLAs. One person cannot promise round-the-clock availability. If uptime contracts matter, hire a team.