Most documentation AI tools require sending your content to third-party servers. For regulated industries and security-conscious organizations, that's a non-starter.
Why Docsie
Run everything on your own infrastructure while your team gets the AI experience they expect.
Your documentation never touches external servers. Every AI interaction happens entirely within your network, using your own models. Each team gets isolated encryption keys that never leave your environment. Perfect for HIPAA, SOC 2, and classified environments.
Already running GPU clusters or cloud AI services? Plug Docsie directly into what you've already built. Works with any model you're running — whether that's on your own hardware or your private cloud instances. No vendor lock-in, no per-query charges.
Security teams get the isolation they need. End users get instant AI answers from documentation. IT gets simple deployment without building custom solutions. Everyone wins without compromise.
Organizations across regulated industries trust Docsie to deliver AI without data exposure.
A multi-hospital system needed AI-powered search across 10,000+ clinical procedure documents, but HIPAA meant OpenAI was off the table. They deployed Docsie connected to their existing Azure instances with full patient data protection.
A global bank wanted to modernize their 50,000-page compliance documentation portal, but regulators prohibited sending proprietary data externally. Docsie runs entirely on their on-premise GPU cluster with complete transaction isolation per division.
A defense contractor managing ITAR-controlled technical documentation needed modern AI search capabilities. Cloud services weren't an option. Docsie deployed to their air-gapped network using models they vetted and control.
Everything you need to run AI-powered documentation without data leaving your control.
Point Docsie at whatever AI infrastructure you're already running — your cloud tenant, your data center, your GPU rack.
Every team, division, or customer gets cryptographically isolated data processing — no cross-contamination.
Your model access credentials are encrypted at rest and never exposed to our systems or other customers.
When you bring your own model, literally nothing goes to third-party AI services — we route everything to your infrastructure.
Complete transparency into where every AI query goes and what data was processed — prove compliance to any auditor.
Configure your model connection in minutes, not months — your team starts using AI-powered docs the same day.
Common Questions
What security-conscious organizations ask us most often.
Q: Do I need to run my own AI models to use this?
A: No — you can choose. If you need maximum data control, connect your own models. If you trust our hosted infrastructure, we can run private instances for you. Most regulated organizations prefer bringing their own models for compliance reasons.
Q: How long does deployment take?
A: Most customers are up and running in under a week. If you already have models running, configuration takes a few hours. We handle the integration work — you just provide connection details and access credentials.
Q: What if we don't have GPU infrastructure yet?
A: We'll help you scope what you need. Many customers start with small private cloud instances and scale up. Some use their existing cloud provider's AI services in their own tenant. You have options that don't require buying hardware.
Q: Can Docsie see our documentation content?
A: When you bring your own model, we never see the AI processing. We see the documentation you upload (that's how we build search indexes), but all AI queries and responses stay between your browser and your infrastructure. We can provide detailed architecture diagrams for your security review.
Q: What compliance certifications do you have?
A: Docsie is SOC 2 Type II certified. When you use your own models, you're adding our documentation layer to your existing certified infrastructure — the AI processing inherits your compliance posture, not ours. We provide documentation to help your compliance team understand the architecture.
Still have questions?
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