Use case · Private equity
Your agent reads every file across every portfolio company, pulls the same data points from each, and keeps the latest correct value with its source.
The work today
Terabytes of files, often the same document in many versions.
One consistent set of values for every company, with the right version winning.
Chat tools answer one question at a time. They can't extract at this scale.
How it works
Every file read, every value scored and located on its page or cell.
Document Intelligence →The same data points for every company. The latest correct value wins, with its source.
Deep Transformation →Deal teams ask in Claude, Copilot or your own apps, inside Hardrails, so each team reaches only its own data and tools.
Hardrails →Run at scale
Built for millions of documents. The same agent runs across every company in batch, and every value carries its score and source.
How to start
You know the right numbers. Run their files through Meibel and measure what it got right, what it missed and how confident it was.
A starting point, not a packaged tool. Build it your way: your rules, your data, your systems.
How agents are built →