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AI agents for document-heavy work

Ask your documents.
Get answers with sources.

Rifln turns reports, contracts and manuals into governed context for AI agents. Every figure links to its source, every action leaves an audit trail, and it runs in your cloud or self-hosted.

Early access. Or create an account and try it yourself.

See an Agent Team Work on a Financial Report

From raw PDFs to a briefing where every figure links to its source. Illustrative example run, not customer data.

Where Rifln Fits

Example scenarios for teams that work with confidential, document-heavy material.

  • Example Scenario

    Financial Report Analysis

    Extract KPIs, compare years and draft briefings from annual reports, with every figure linked to its source page.

    Every figure linked to its source page

    Explore Example →
  • Example Scenario

    Technical Manual Assistant

    Let technicians ask questions in plain language and get answers with the manual section and page.

    Answers with manual, section and page

    Explore Example →
  • Example Scenario

    AI-Powered CV Screening

    Analyze candidate CVs against job requirements and generate ranked assessment reports.

    ~20 hours → 2 hours per position

    Explore Example →

More examples: Austrian Business & Finance Newsletter · Handwritten Data Digitization · Personal Finance Tracker · Recipe and Meal Planner · Study and Exam Coach

From Raw Documents to Governed Automation

Data processing, agents and governance in one platform, instead of three tools glued together.

  • Connect your data

    An agent without context is a new hire without training. Upload files, fetch from the web or connect sources, and Rifln turns them into searchable, AI-ready context.

  • Answers with sources

    Agents search your documents and cite where each answer comes from, so you can verify instead of just trusting.

  • Agent teams

    A planner delegates to specialist agents that use tools, including built-in tools and external MCP servers.

  • Start in chat, automate later

    Test an idea in the workbench. When it works, save it as a workflow.

  • Schedule and reuse

    Run workflows on a schedule: daily reports, weekly summaries or custom intervals.

  • Reflection

    Execution is monitored and learnings can be written back to memory, so agents can improve over time.

Deploy Where You Want. Keep Control.

For confidential material, where your data goes matters as much as what the agent does.

Cloud-agnostic and self-hostable

Run it on your infrastructure or in your own cloud account. Models today: AWS Bedrock. On the roadmap: local models, OpenRouter and bring your own key.

Governance built in

Workspace isolation, role-based permissions, data lineage and an audit trail for documents and agent actions.

Context and governance together

Document processing, embeddings and access control live in the same platform, so the context your agents use is the context you govern.

Frequently Asked Questions

Documents are processed inside your workspace. With the hosted setup, model requests go to AWS Bedrock. In a self-hosted deployment you control the infrastructure and the model provider. Local models are on the roadmap.

Yes. Rifln is designed to be cloud-agnostic and self-hostable. Talk to us about your environment.

Today: models on AWS Bedrock. Planned: local models, OpenRouter and bring your own key.

Rifln is in early access. We work closely with a small number of design partners and set up pilots together.

During early access, pricing is agreed per pilot. Talk to us and we'll scope it with you.

Looking for 3 to 5 design partners

Bring a real document-heavy use case, such as financial reports, contracts or manuals. We set up a governed pilot with your documents and work through it together.