Docana is the Patent-Pending Enterprise Reasoning Layer. We deploy AI super employees that work while you sleep, grounded in your company data. They work inside the tools your team already uses (Excel, Slack, WhatsApp, Teams) and read your existing SAP, ERP, HRIS, CRM, VMS, and contracts in real time. No migration, no rip-and-replace. Built on Anthropic Claude, Google Gemini, and OpenAI GPT.

What is a "super employee"?

A super employee is a Docana-powered digital expert that has the full context of your enterprise behind it. Six core roles: Business Analyst, Finance Analyst, Revenue Strategist, Legal Reviewer, Operations Sentinel, and Customer Support. Each one is bounded to the data you decide and validates its own work with deterministic LLM evals before it acts.

How is Docana different from Microsoft Copilot or Salesforce Agentforce?

Copilot is great if your stack is fully Microsoft. Agentforce is great if you only care about CRM. But most enterprises run a mix of Workday, SAP, Salesforce, and a separate VMS. Docana is the agnostic intelligence layer that unifies them — without forcing a migration — and reasons deterministically across all four pillars.

Why "deterministic"? Don't LLMs hallucinate?

They do. That is why most enterprise AI fails legal, finance, and compliance review. Docana wraps the language model in a deterministic core that grounds every answer in your actual systems of record and produces an auditable trail back to the source. The output is a controllable artifact you can defend in front of an auditor, not a probabilistic guess.

How long does Docana take to deploy?

Days, not months. Docana already understands the structure of enterprise documents and data, so it does not need to be trained from scratch on your company. It crawls your existing knowledge and starts surfacing leakages, anomalies, and answers from day zero.

Where do users actually interact with Docana?

Inside the tools they already use. A finance analyst writes =DOCANA() in Excel. A sales director @-mentions Docana in Slack or Teams. An operations manager pings it on WhatsApp. A developer pulls Docana into their Claude Code workflow natively. Adoption is friction-free because nobody has to learn a new portal.

Does Docana integrate with Claude Code?

Yes — Docana ships with native Claude Code integration. You can query agents, surface insights, and trigger automations from inside Claude Code without writing glue code, so the full power of Docana is available to developers in their IDE workflow.

How does Docana handle security and data isolation?

Docana can run in a single-tenant, isolated VPC on Google Cloud, connected via Private Service Connect so data never touches the public internet, for customers whose security review requires it. Agents have read-only access to systems of record by default, and any write or action requires explicit human-defined guardrails.

Which AI models does Docana use?

Docana orchestrates the best frontier models for each task — Anthropic Claude, Google Gemini, and OpenAI GPT — and routes work to whichever performs best for the question, the document, or the workflow. You get the strongest model available for your enterprise without locking into a single AI vendor.

Is Docana's technology proprietary?

Yes. Docana has a U.S. patent pending on its cross-pillar reasoning architecture and Adaptive Reasoning Engine — the system that takes a subject-matter-expert demonstration and converts it into a deterministic super employee.

Can Docana be deployed on-premise or white-labeled?

Yes. Docana supports four deployment models: hosted by Docana on Google Cloud (with a dedicated single-tenant VPC available), deployed into your own private cloud (GCP, AWS, or Azure), on-premise inside your data center (air-gapped if required), and white-label / OEM where the Adaptive Reasoning Engine is embedded inside your enterprise product under your own brand.

How is Docana priced?

Docana is not priced per seat. The CEO and the warehouse manager can use the same intelligence layer without the cost-per-head tax. This is intentional — the value compounds when every employee has an expert at their side.

Which industries use Docana?

Docana is in production across logistics, real estate, financial services, education, legal, consulting, IP strategy, and government / public sector. Our customers include public-company-grade deployments where the deterministic core is stress-tested against the most demanding fiscal and audit environments, and public agencies that require a deterministic audit trail behind every answer.

How do I get started?

Request a demo. We will walk through your specific systems and show you what Docana surfaces in your data within the first hour of deployment.

Build on Docana

The REST API, the OpenAPI spec, the MCP server, and the docs: everything you need to put Docana in your stack.

Documentation

Guides, tutorials, and the complete API reference, from the quickstart to testing agents in CI. Every docs page also exists as plain markdown for AI agents.

docs.docana.com →

REST API

A versioned API at platform.docana.com/api/v1/ with self-serve keys in three scopes. Every operation carries a typed schema in the OpenAPI 3.1 spec, ready for code generation and LLM function calling.

API reference →OpenAPI spec →

MCP server

Connect Claude, ChatGPT, or any MCP client to mcp.docana.com/mcp over Streamable HTTP and call Docana agents, knowledge, and threads as native tools.

MCP setup guide →

Built for AI agents

A machine-readable overview of Docana lives at /llms.txt, and every page on this site answers Accept: text/markdown with a markdown variant of the same URL.

llms.txt →

Your AI workforce. Live this week.

In a 30-minute demo we'll wire Docana™ into a sample of your data and show you what the Enterprise Reasoning Layer surfaces in the first hour: leakages, anomalies, missing controls, and the work your first agent can absorb on day one.

Scale output, not headcount.

Request a Demo Explore the documentation