4.8
on G2
Docsie helps enterprises wanting ChatGPT-like AI on their own infrastructure. 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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Most enterprises face the same dilemma: AI-powered documentation would transform how employees find answers, but your compliance team won't approve sending proprietary information to third-party cloud services.
Why Docsie
All the intelligence of ChatGPT, running on your hardware, under your control.
Connect Docsie to your own AI models—whether you're running them in your private cloud, on-premise GPU clusters, or through your AWS account. Your documentation and queries never touch our servers or any third-party AI service. Security teams approve it because they control where the data goes.
Every customer organization gets complete data isolation. Encryption keys are stored separately per tenant, audit logs track every interaction, and there's zero data leakage between organizations. Perfect for companies serving regulated industries or managing multiple business units with different compliance requirements.
No need to build your own AI documentation platform from scratch. Docsie gives you the interface, search logic, and user experience—you just bring the AI compute you already have. Launch in days and scale to thousands of users without vendor lock-in or per-seat AI charges.
See how enterprises use self-hosted AI to transform their documentation while meeting security requirements.
A global investment bank needed to give traders and analysts instant access to thousands of internal procedure documents and compliance guides. Public AI tools were immediately rejected by InfoSec. They deployed Docsie connected to their AWS Bedrock account, keeping all queries and responses within their VPC.
A medical device company maintains technical documentation containing patient safety information and FDA-regulated procedures. They needed AI-powered search for engineers and support teams, but HIPAA and FDA compliance made cloud AI impossible. Docsie routes all AI processing through their on-premise GPU infrastructure.
A defense technology company manages thousands of technical specifications and contract deliverables subject to export control and federal security requirements. They run Docsie in their FedRAMP-authorized cloud environment, connected to models they control, ensuring no controlled unclassified information ever leaves approved boundaries.
Everything you need to run ChatGPT-quality documentation AI on your own infrastructure.
Point Docsie to whatever AI infrastructure you're already running—no vendor lock-in or forced cloud dependencies.
Every organization's documentation, queries, and credentials are cryptographically separated—built for compliance.
Once configured, Docsie never calls third-party AI services—everything runs through your infrastructure.
Track every AI query, response, and model interaction for compliance reporting and security monitoring.
Switch between different AI models, versions, or providers without changing your documentation setup.
See what your users are asking, which documents they need most, and how AI is reducing support load.
Common Questions
Answers to the questions we hear most from enterprise security and architecture teams.
Q: What AI models or infrastructure do I need to already have?
A: You'll need access to an AI model you can query—this could be models running on your own GPU servers, through your AWS Bedrock account, Azure OpenAI Service in your tenant, or open-source models you're hosting. If you're already running AI infrastructure for other projects, you can reuse it. If not, we can guide you on the fastest path to getting started.
Q: How long does deployment typically take?
A: Most enterprises go live in 1-3 weeks. The actual Docsie setup takes hours—most time is spent on your side getting AI infrastructure approved and configured, uploading documentation, and running security reviews. We've had customers deploy in under a week when they already have approved AI infrastructure.
Q: Can we test this before committing?
A: Yes. We'll set up a proof-of-concept environment connected to your AI infrastructure where you can upload real documentation and test with your actual security requirements. Most POCs run 2-4 weeks and give your security team time to validate the architecture.
Q: Does any of our documentation data ever leave our infrastructure?
A: No. When you use the bring-your-own-model setup, your documentation and all AI queries are processed entirely within your infrastructure. Docsie orchestrates the interaction but doesn't route anything through external AI services. Your security team controls where data flows.
Q: How do you handle multi-tenant security for companies with different compliance requirements?
A: Each organization gets cryptographic isolation—separate encryption keys, separate data stores, and separate audit logs. If you're serving customers in different regulatory environments (HIPAA, FedRAMP, GDPR), each tenant's data is isolated and you can route different organizations to different AI infrastructure based on their compliance needs.
Still have questions?
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