4.8
on G2
Docsie helps security teams needing AI without data leaving the network. Route all AI to your own LLM endpoints (vLLM, Ollama, Bedrock). Per-org isolation, encrypted keys, zero external API calls. ChatGPT for your docs on your hardware.
Join forward-thinking teams using Docsie
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Your team needs intelligent search and AI assistance for documentation, but your security requirements won't allow sensitive data to leave your infrastructure. You shouldn't have to choose between innovation and compliance.
Why Docsie
Built for organizations where 'just use ChatGPT' isn't an option.
Point Docsie at your own AI models running in your data center or private cloud. Every query, every response, every piece of documentation stays within your security boundary. No exceptions, no backdoors, no phone-home telemetry.
Each department or business unit gets cryptographically isolated AI access. Finance can't see Engineering's docs, subsidiaries can't cross-contaminate data, and you can prove it in compliance audits with detailed access logs.
Meet GDPR, HIPAA, SOC 2, and government security requirements without custom development. Your security team reviews the architecture once, then every business unit can deploy AI-powered documentation safely.
See how security-conscious organizations deploy AI knowledge bases without compromising on data protection.
A global investment bank needed traders to quickly find regulatory procedures and trading desk documentation, but couldn't send proprietary strategy documents to public AI services. They deployed Docsie connected to their on-premise GPU cluster.
A multi-hospital healthcare system wanted AI-assisted search for clinical protocols and staff training materials containing patient case studies. HIPAA requirements meant traditional AI tools were completely off the table.
A defense contractor with ITAR and export control obligations needed to modernize technical documentation for engineers, but couldn't risk controlled technical data reaching foreign servers, including major AI providers with international operations.
Everything you need to deploy AI-powered documentation that meets enterprise security requirements.
Use the AI infrastructure you already have—whether it's GPUs in your data center or models running in your private cloud.
Every business unit's AI access is cryptographically separated with its own encrypted credentials and data boundaries.
Once deployed, Docsie never makes outbound calls to third-party AI services—your network team can verify it.
Every AI query and response is logged with user, timestamp, and data classification for compliance reporting.
Define who can access which documentation sets and see exactly which users are leveraging AI assistance.
Track AI adoption and documentation gaps across your organization while keeping all content private.
Common Questions
Answers to questions we hear from security and compliance teams.
Q: How long does it take to get Docsie running on our own infrastructure?
A: Most organizations are up and running in 1-2 weeks. You'll need to have your AI models already deployed (or we can help you choose), then you point Docsie at them and import your documentation. The security review usually takes longer than the technical setup.
Q: Do we need to buy new hardware or can we use our existing GPU infrastructure?
A: You can use whatever you already have. If you're running models for other purposes, Docsie can share those resources. Many customers use existing GPU clusters, private cloud instances, or even secure government cloud environments.
Q: What happens if our AI infrastructure goes down? Does Docsie fall back to external providers?
A: No fallback ever happens—that's the point. If your AI infrastructure is unavailable, AI-powered features are temporarily disabled and users see standard search. Docsie will never route queries to external providers as a backup.
Q: How do you prove to auditors that no data leaves our network?
A: You can monitor all network traffic from Docsie to verify zero outbound connections to AI providers. We also provide architecture diagrams and detailed technical documentation specifically for security reviews. Many customers run Docsie in network-isolated segments to make this even clearer.
Q: Can different subsidiaries or departments have completely isolated AI knowledge bases?
A: Yes. Each organization unit gets its own cryptographically isolated instance with separate encryption keys and data storage. A user in one business unit physically cannot access another unit's documentation or AI queries, even if they're on the same Docsie deployment.
Still have questions?
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