The Problem
Cost
Cloud API calls at scale are expensive. Lawyers, doctors, and accountants process millions of documents — and every call to OpenAI or Anthropic adds up fast.
Compliance
Sensitive data can't leave the building. Medical records, legal contracts, financial statements — they need AI assistance without the data ever touching a cloud server.
The Solution
01 LOCAL
Local by Default
Semantic search and inference run on your hardware. Your data never leaves the machine.
02 CLOUD
Cloud When Needed
Only for tasks that genuinely require it. You decide the threshold, not us.
03 SECURE
Tailscale-Secured
No exposed endpoints. Private networking layer with zero-trust architecture.
Results
70%
Reduction in API costs
Zero
Data leakage to cloud servers
Enterprise
Security without the complexity
Validation story goes here
The Stack
semantickit
— Local semantic search with CoreML embeddings
edgeprompt
— Local LLM inference on Apple Silicon
morel-mcp
— gRPC database operations
Tailscale
— Private networking layer