Build on DocMark
DocMark turns authored content — yours or your AI agent's — into a branded, verified document. Your agents and analysts do the thinking; DocMark does the document, and never invents a word of it.
DocMark isn’t only an app — it’s a document-production engine your software can call. Whatever your product makes — proposals, reports, summaries, decks — DocMark turns it into a branded, verified deliverable, so you never build (or maintain) a rendering-and-branding pipeline yourself.
Two ways your software connects
- REST API (
/v1) — submit a job, poll its status, fetch the verified artifact. A few calls. (Available now on the public-cloud endpoint, and in self-managed modes — see deployment modes.) - MCP (Model Context Protocol) — point your AI agent or copilot at DocMark and it gains a document-production tool: it writes the outline, DocMark renders, verifies, and brands, and returns findings the agent can fix. (Available now in the cloud and in self-managed modes.)
Per-client branding is built in — each of your customers can carry their own brand, applied automatically. See the full integration options for the connect details.
Sample use cases
- Vertical SaaS — a real-estate, legal, or finance platform adds “Export as branded deck,” so its users hand clients a polished, on-brand document instead of a raw export.
- CRM & proposals — auto-generate a branded proposal or QBR deck from CRM data the moment a deal stage changes.
- AI-native research tools — an agent researches a topic and returns a branded, verified report with cited sources — not a wall of Markdown.
- Assistants that already write Markdown — if your agent produces Markdown (a report, a brief, a resume), DocMark renders it verbatim into a branded, verified document — no re-authoring, no rendering pipeline to build. (Markdown → document is available now — see the API reference.)
- BI & analytics — turn a dashboard’s numbers into a branded executive summary, generated on a schedule.
- Agent platforms — give every agent a “produce the deliverable” tool over MCP, so an agent’s work ends in a client-ready artifact, not a draft.
- White-label — embed DocMark under your own brand; your customers see only their own branded output, never DocMark.
Why build on it instead of rolling your own
- You skip the hard part — deterministic, on-brand rendering plus a verification gate that withholds slides that are blank or carry nothing at all, and structurally broken output. Pixels never come from AI, except with the optional agentic engine on a self-managed deployment.
- Per-customer branding without per-customer engineering.
- It runs where your data must — your own cloud tenant (bring your own LLM) or fully on-prem, not only our cloud. See deployment modes.