4.8
on G2
Docsie helps teams needing AI writing help without cloud dependency. 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 AI writing assistance, but your data can't leave your infrastructure. Here's what that choice used to mean.
Why Docsie
All the intelligence of modern AI writing tools, none of the data exposure risk.
Every AI interaction happens on infrastructure you control. Whether it's regulated healthcare data, classified government content, or proprietary product details, nothing gets sent to external AI providers. You get ChatGPT-level writing assistance with zero cloud dependency.
Marketing can't see engineering docs, partners can't access internal content. Every department or client gets their own completely separated AI environment with encrypted credentials. One breach doesn't compromise everyone—isolation is built in, not bolted on.
Already invested in GPU infrastructure or private AI licenses? Docsie connects to whatever models you're running—whether that's your own fine-tuned models, a government-approved system, or commercial options you've already vetted. Your investment, your choice, your control.
See how regulated and security-conscious teams use on-premises AI documentation.
Medical device companies and healthcare providers need to document complex procedures and regulatory submissions without exposing patient data or proprietary research. Their compliance teams won't approve cloud AI tools, but writers still need modern assistance to keep pace with documentation demands.
Government agencies and defense contractors operate in air-gapped environments where cloud services simply aren't allowed. They need AI writing tools that work on isolated networks with strict data sovereignty requirements, often supporting multiple classification levels simultaneously.
Banks and financial institutions handle customer data, trading strategies, and regulatory filings that can't be processed by external AI services. They need the productivity gains of AI documentation tools while satisfying auditors that no sensitive data was exposed to third parties.
Everything you need to run AI documentation assistance behind your firewall.
Point Docsie at whatever AI models you're already running—no forced vendor lock-in.
Give each department or client their own isolated workspace with independent AI configurations.
AI connection credentials are encrypted per organization—no shared secrets, no cross-contamination.
Deploy in completely offline environments where internet access isn't allowed.
Track every AI interaction for compliance reviews and security audits.
Once configured, Docsie runs entirely on your infrastructure without calling out to our servers.
Common Questions
Everything security and technical teams ask before deploying on-premises AI documentation.
Q: What AI models does this work with?
A: Any model you can run on your own infrastructure—commercial models like those from major providers, open-source models you've deployed yourself, or custom models you've fine-tuned. If you can access it from your network, Docsie can use it.
Q: Do we need our own AI infrastructure already set up?
A: Yes, Docsie connects to AI models you're already running—we don't provide the models or GPU hardware. If you don't have AI infrastructure yet, we can recommend partners who help with private deployments.
Q: How long does deployment typically take?
A: Most teams are up and running in a few days. The main timeline dependency is your internal approval process—the actual technical setup is usually complete in hours once your AI infrastructure details are ready.
Q: Does any documentation data ever leave our network?
A: No. When configured for on-premises use, all AI processing happens on your infrastructure. Your content never touches our servers or any external AI provider. You can verify this with network monitoring—there are no outbound calls.
Q: How do you isolate different teams or clients from each other?
A: Each organization gets completely separate data storage and AI credentials. Team A's documents, AI interactions, and connection details are cryptographically isolated from Team B's. Even if one organization's credentials were compromised, others remain protected.
Still have questions?
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