6+ h → under 5 min
IP application drafting: 6+ hours to under 5 minutes per application, with lawyer review as the final step.
Source: Balt Alnoor · Cloud deployment
DocsGPT Cloud is the hosted, multi-tenant DocsGPT at app.docsgpt.cloud, operated by Arc53 and priced per seat. Teams start in minutes; organisations that need a dedicated instance or their own infrastructure move to Managed or On-premises.
$20/seat/month · app.docsgpt.cloud · operated by Arc53
Last updated:
Cloud
Managed
On-premises
Air-gapped
Cloud: Arc53 operates a multi-tenant service and the LLM runs at a cloud provider. Managed: Arc53 operates a dedicated instance in your chosen region; the LLM runs at a cloud provider, on a local engine on the instance, or with your own key (BYOM). On-premises: you operate DocsGPT inside your network; the LLM runs locally, or (hybrid) prompts cross the boundary to a cloud provider you choose. Air-gapped: zero external network; LLM, embeddings, vector store and storage all run inside your perimeter.
6+ h → under 5 min
IP application drafting: 6+ hours to under 5 minutes per application, with lawyer review as the final step.
Source: Balt Alnoor · Cloud deployment
18.3k GitHub stars
The hosted service runs the same open-source platform, MIT-licensed, with 258+ contributors.
Source: GitHub
Everything in the open-source platform, hosted: connectors, cited answers, agents and workflows, the API, teams, analytics and Insights.
Knowledge
Sync Google Drive, SharePoint, Confluence, GitHub, S3 and more, or upload files; scanned documents are read with OCR. Google Drive reads only the files you pick, never the whole Drive.
google drive · sharepoint · confluence · github · s3 · uploads
Answers
Every answer cites its source document and page; the source panel opens beside the chat.
citations · page numbers · source panel
Agents
Classic, Research and Workflow agents with tools, schedules and shareable links.
classic · research · workflow
Integrations
Call your agents through an OpenAI-compatible API with access tokens, embed the chat widget on your site, or let MCP clients search an agent's knowledge.
/v1/chat/completions · access tokens · mcp · widget
Analytics
Token and cost attribution by agent, conversation volume and adoption, plus Insights: which questions your documents leave unanswered, by page, source or topic, and how people replied to answers.
tokens · cost by agent · docs gaps · answer status
Models
Frontier models from OpenAI, Google and Anthropic, plus top open-weight models — GLM, Kimi, DeepSeek — provided through Arc53. The set rotates as new models ship. Add your own under Custom Models with your key and base URL.
openai · google · anthropic · glm · kimi · deepseek · custom models
$20/seat/month · billed per seat · start free, add seats when the team joins · full pricing →
What leaves, what stays.
On DocsGPT Cloud, documents and embeddings are stored in Arc53's cloud environment in the EU region; prompts and retrieved passages go to the LLM provider selected for the workspace. Customer data is not used to train models, and deletion is available on request.
| Destination | Status | |
|---|---|---|
| Documents and embeddings | Arc53 cloud storage | EU region |
| Prompts and retrieved passages | The selected LLM provider | Named on the sub-processor list |
| Training on customer data | Not used to train models | No — your documents, prompts and answers are never used for training |
| Deletion on request | Removed from Arc53 storage | Available on request |
Every sub-processor, with its region, is listed in Annex III of the DPA.
Sign in with email and password, or with OIDC single sign-on against your identity provider. Invite teammates by email or provision them from your directory with SCIM 2.0; each member shows how they were added.
Each team has admins and members. Share agents, sources, prompts and tools with a team as Viewer or Editor, and see tokens and cost by agent in Analytics.
email + password · oidc sso · scim 2.0 · invite by email · team admin / member · viewer / editor · analytics
Three cases where a dedicated or self-operated posture is the right call.
If the data is regulated and the platform must be single-tenant, use a dedicated instance.
Managed →
If policy requires your own data centre or private cloud, run it on-premises — with a local LLM or a hybrid cloud LLM.
On-premises →
If policy forbids any external network, run it air-gapped with a local model only.
Air-gapped →
The same platform runs on a dedicated VPS operated by Arc53, in your chosen region, with your identity provider connected. Sources and agents are exported from Cloud and imported into the Managed instance on request.
A Managed instance is priced as a flat monthly fee rather than per seat: from $2,000/month. Managed dedicated AI instance →
Start free at app.docsgpt.cloud, $20/seat/month when the team joins. Or book a 30-minute demo on your use case.
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