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 →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.
From raw PDFs to a briefing where every figure links to its source. Illustrative example run, not customer data.
Example scenarios for teams that work with confidential, document-heavy material.
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 →Let technicians ask questions in plain language and get answers with the manual section and page.
Answers with manual, section and page
Explore Example →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
Data processing, agents and governance in one platform, instead of three tools glued together.
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.
Agents search your documents and cite where each answer comes from, so you can verify instead of just trusting.
A planner delegates to specialist agents that use tools, including built-in tools and external MCP servers.
Test an idea in the workbench. When it works, save it as a workflow.
Run workflows on a schedule: daily reports, weekly summaries or custom intervals.
Execution is monitored and learnings can be written back to memory, so agents can improve over time.
For confidential material, where your data goes matters as much as what the agent does.
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.
Workspace isolation, role-based permissions, data lineage and an audit trail for documents and agent actions.
Document processing, embeddings and access control live in the same platform, so the context your agents use is the context you govern.
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.