Local-First RAG Pipeline Engine

Companies handling sensitive data can't use cloud RAG services because documents leak PII and confidential info. BitVanes is a zero-trust ETL engine that processes documents locally (no cloud calls), chunks them, vectorizes them, and outputs clean Arrow data. Target users: enterprises, healthcare, finance, legal firms handling sensitive documents.

Regulatory pressure around data residency and AI privacy is accelerating fast — HIPAA enforcement actions, EU AI Act compliance deadlines, and enterprise legal teams blanket-banning cloud LLM calls have created a real gap between what companies need (RAG) and what they can legally deploy (anything that phones home). The closest substitute is running LangChain or LlamaIndex entirely on-prem, but that requires significant ML engineering hours to stand up securely, which is exactly the integration tax a productized engine could eliminate. The $10k–50k/mo revenue band is plausible given enterprise willingness to pay for compliance-adjacent infrastructure, but it implies landing and expanding within a handful of accounts rather than volume — which makes sales cycle length the core unit economics risk, not pricing. The most likely failure mode is that the target buyers (healthcare IT, legal ops, finance) have procurement processes measured in quarters, and a small team burns out or runs out of runway before closing enough contracts to matter.