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Documentation.AI
Alpharetta, Georgia, USA
What it is
Documentation.AI combines an AI documentation agent, workflows, publishing, and AI access for technical documentation. Teams can write in a visual web editor or use Markdown and MDX in Git repositories, with pull request previews. OpenAPI files can generate reference pages with request and response examples and a live playground. Agent and workflow changes arrive as drafts or commits for team review rather than publishing automatically. The platform also offers an in-document assistant with cited answers, a Reader MCP server, and generated llms.txt. GitHub, GitLab, Jira, and Confluence can provide context to the agent; built-in integrations include analytics providers and chat widgets. Documentation can be public, password-protected, or private with JWT or OAuth 2.0. SSO with SAML/OIDC and SCIM are Enterprise features. AI features pause when credits run out until the next 30-day cycle or a deliberate top-up; the pricing page says there is no overage billing. Starter is free at no cost. Standard costs $55 a month billed yearly, and Pro costs $159 a month billed yearly. The plans list different editor seats, project counts, and AI credits. Documentation.AI is a product of Keevs Health Inc., headquartered in Alpharetta, Georgia.
For and against
For
- Supports Markdown, MDX, Git repositories, and OpenAPI.
- Changes are reviewed before publication.
- API references can include examples and a live playground.
- Offers cited answers in an in-document assistant.
- Starter plan is free.
Against
- AI features pause when credits run out.
- Standard costs $55 a month billed yearly.
- SSO with SAML/OIDC and SCIM are Enterprise features.
The verdict
Documentation.AI combines authoring, review workflows, publishing, and AI access in a technical documentation platform. Its credit pauses and Enterprise-only identity features are important plan considerations.
Who it suits
Documentation.AI suits teams producing technical documentation from Markdown, MDX, Git repositories, or OpenAPI files. Its plans are described for individuals and early projects, startups and small teams, and growing teams, with Enterprise access controls available for larger needs.
Plans and prices
Starter
5 editor seats · 1 documentation project · 10,000 one-time AI credits · visual editor
Read 15 Oct 2026 · documentation.ai
Standard
10 editor seats · 2 documentation projects · 10,000 AI credits/month · password-protected docs
Read 15 Oct 2026 · documentation.ai
Pro
Unlimited editor seats · 4 documentation projects · 30,000 AI credits/month · JWT/OAuth private docs
Read 15 Oct 2026 · documentation.ai
Enterprise
Custom projects and AI credits · SAML/OIDC SSO · SCIM · custom SLAs
Read 15 Oct 2026 · documentation.ai
On the record
- Access control
- Documentation can be public, password-protected, or private with JWT or OAuth 2.0; SSO with SAML/OIDC and SCIM are Enterprise plan features.documentation.ai · read 29 Sep 2026
- Agent review
- Agent and workflow changes arrive as drafts or commits for team review; they are not published automatically.documentation.ai · read 29 Sep 2026
- AI access
- The platform offers an in-docs assistant with cited answers, a Reader MCP server, and generated llms.txt.documentation.ai · read 29 Sep 2026
- AI assistant
- Ask AI answers reader questions inside documentation with citations and confidence signals.documentation.ai · read 15 Oct 2026
- AI credit limits
- AI Assistant questions cost 10 credits, agent tasks cost roughly 5–320 credits, and unused credits roll over at 50% up to 1.5 times the allowance.documentation.ai · read 15 Oct 2026
- AI data policy
- The security page says model providers receive only content needed for an answer, cannot train on it, and Ask AI conversations are not stored by Documentation.AI.documentation.ai · read 15 Oct 2026
- AI data use
- The privacy policy says workspace content and model inputs and outputs are not used to train AI models, and prompts, context, and outputs may be logged for up to 30 days.documentation.ai · read 29 Sep 2026
- AI writing agent
- The Documentation Agent drafts, rewrites and reformats pages using the site's components and configuration, with human approval before publishing.documentation.ai · read 15 Oct 2026
- API docs
- OpenAPI files can generate API references with request examples, response examples, and a live playground.documentation.ai · read 29 Sep 2026
- API reference generation
- OpenAPI files generate endpoint pages, parameter documentation, cURL/Python/JavaScript/Go/Ruby examples, response examples and a live playground.documentation.ai · read 15 Oct 2026
- Automations
- Automations can run after pull-request merges or on daily, weekly or monthly schedules to propose documentation updates.documentation.ai · read 15 Oct 2026
- Company
- Documentation.AI is a product of Keevs Health Inc., a Delaware corporation headquartered in Alpharetta, Georgia.documentation.ai · read 29 Sep 2026
- Company founded and headquarters (independent listing)
- GetLatka lists Documentation AI as founded in 2025 and headquartered in Hyderabad, Telangana, India.getlatka.com · read 15 Oct 2026
- Compliance status
- GDPR support with a DPA and standard contractual clauses is available; SOC 2 Type II, ISO 27001 and HIPAA safeguards are described as in progress.documentation.ai · read 15 Oct 2026
- Connectors
- GitHub, GitLab, Jira, and Confluence can provide context to the AI Documentation Agent.documentation.ai · read 29 Sep 2026
- Customization and performance
- Published sites support custom colors, fonts, layouts, CSS and JavaScript, more than 100 reusable blocks, and the maker claims 100/100 Lighthouse scores.documentation.ai · read 15 Oct 2026
- Data location
- The maker says service data is stored in the United States on Render, Vercel, Supabase and Cloudflare.documentation.ai · read 15 Oct 2026
- Docs as code
- Teams can store Markdown and MDX in Git with branches, pull requests, preview builds and bidirectional synchronization.documentation.ai · read 15 Oct 2026
