FAQs
Answers, simplified.
Frequently asked questions
about Doclarity.ai
Everything you need to know before you start: how Doclarity works, what you can upload, how security is handled, how teams collaborate, and which plan fits your role. Built for organizations that want grounded answers from curated documents, not more noise.
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Getting started
Documents, libraries, and search
Security, privacy, and control
Collaboration, writing, and AI agents
Plans, pricing, and choosing the right fit
What is Doclarity.ai?
Doclarity.ai is an AI-powered document intelligence platform that helps organizations turn curated document collections into searchable, grounded knowledge bases. Instead of relying on open web answers or generic AI output, teams work from their own approved libraries and get answers, summaries, research, and written deliverables tied back to source material.
Who is Doclarity for?
Doclarity is designed for teams that work with high-value documents and need trustworthy retrieval, synthesis, and collaboration. Typical users include quality and compliance teams, research and studies departments, knowledge managers, and department-level teams that need fast access to their internal or curated reference base.
How do I get started?
Sign up, verify your email, log in, and start by opening your document library. From there, you can upload documents, search across your library, run research, write deliverables, or work inside a shared workspace depending on your plan and permissions.
How quickly can a new team start using it?
The product is built for quick setup and self-serve adoption. Once documents are uploaded, typical document processing takes about 1 to 15 minutes, depending on file size and complexity, and users are notified when processing is complete.
What can I upload to Doclarity?
Doclarity supports PDF, DOCX, TXT, and image files, including scanned documents processed with OCR. That makes it suitable for everything from reports and policies to scans, manuals, and mixed document archives.
What happens after I upload a document?
Doclarity automatically detects language, extracts text, runs OCR where needed, generates metadata, classifies the document, creates vector embeddings for semantic search, and prepares previews. It can also generate summaries, key points, and FAQs from the document itself.
Can I keep some documents private and share others with my team?
Yes. Documents can live in private, shared, workspace, or public contexts depending on your permissions and how you choose to organize them. This lets teams keep personal working material separate from broader shared knowledge.
How is Doclarity different from keyword search?
Doclarity uses semantic and hybrid retrieval, so users can ask questions in natural language instead of guessing exact terms. It understands context, supports advanced filters, and can combine relevance, version currency, and document context to surface better results.
Can I see the source behind an answer?
Yes. Grounded retrieval and source visibility are part of the product foundation. Users can view source material inline, open PDFs directly, and follow citations back to the relevant document context.
Does Doclarity use customer documents to train AI models?
No. Customer documents are not used for model training. Doclarity’s positioning is built around private infrastructure, grounded retrieval, and customer control.
Does my data go to third-party AI providers?
It simply doesn't. Doclarity runs AI processing through its own inference infrastructure rather than external third-party AI APIs. The goal is stronger privacy, reliability, and tighter control over how customer data is handled.
Where is the infrastructure hosted?
Our infrastructure model places CPU and storage in Germany and GPUs in Finland, with messaging centered on EU-based infrastructure, data privacy, and no Cloud Act exposure.
How does access control work?
Doclarity uses role-based access control with user roles such as Admin, Uploader, and Viewer, plus document-level, folder-level, user-level, and workspace-level access layers. In practice, that means organizations can control who can upload, who can view, and who can work across shared spaces.
Can different customers see each other’s data?
No. The platform is positioned around complete customer isolation, with separate data boundaries and no cross-customer access.
Can teams collaborate inside Doclarity?
Yes. Teams can collaborate through shared workspaces, shared research threads, and collaborative writing. Workspace members can access shared content and work together inside the same environment.
Does Doclarity support real-time collaboration?
Yes. The platform includes real-time collaborative editing, presence indicators, live updates, activity tracking, and conflict handling for team-based work.
Can Doclarity generate written deliverables
Yes. Users on the right plans can generate briefs, summaries, reports, and other deliverables using AI Write, structured writing templates, and analytical frameworks, then export them to DOCX, PDF, or Markdown.
What are AI Expert Agents?
AI Expert Agents are specialized workflows for analysis and content generation. Doclarity documents 168 expert agents across categories such as policy, compliance, audit, quality, procurement, NGO workflows, operations, and more. Their outputs can include documents, charts, diagrams, formulas, and citations.
Can I build my own agents and workflows?
Yes, on higher plans. Builder unlocks custom agent creation, blueprint templates, and workflow creation, while Operator adds deeper workflow capability, more concurrency, and broader control.
What plans does Doclarity offer?
Doclarity’s current public plan structure is Access, Author, Builder, and Operator. The commercial story is role progression: Ask, Write, Build, Operate.
What is the difference between the plans?
Access is the viewer plan for searching approved libraries and retrieving grounded answers.
Author adds upload, writing, exports, workspaces, and prebuilt expert agents.
Builder adds custom agent creation, templates, charts, diagrams, and more operational flexibility.
Operator adds greater scale, advanced workflow nodes, more concurrency, and full API/webhook access.
Author adds upload, writing, exports, workspaces, and prebuilt expert agents.
Builder adds custom agent creation, templates, charts, diagrams, and more operational flexibility.
Operator adds greater scale, advanced workflow nodes, more concurrency, and full API/webhook access.
What does the Access plan include?
Access is intentionally a true viewer plan. It includes asking questions across accessible libraries, semantic and hybrid search, filters, inline source viewing, and limited research history. It does not include document upload, AI Write, workspaces, agents, or custom builder access.
Can one team mix different plans?
Yes. The pricing logic is explicitly designed to support mixed-team usage, so one customer can have reader seats, writer seats, workflow-builder seats, and heavier operator seats depending on role.
What are the current prices?
Please check the Pricing Plans page for the current pricing in your region.
Current published pricing
Current published pricing
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Still have questions ?
Whether you’re comparing plans, validating security requirements, or figuring out which team should start first, Doclarity is designed to be easy to understand before it becomes powerful in use.
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