Start from live operations.
We map the queues, inboxes, handoffs, exception paths, and data gaps that actually decide the outcome.
Built close to the work.
CloudRaker builds the CloudRaker Suite for enterprise operations where AI has to follow rules, keep context, and leave a trace. The product comes from production systems, not demo scripts, and is available as a user-friendly WebApp, API and MCP so you can use it where you need it.
Model quality isn't what gets AI into the enterprise. It's the layers around it: structure imposed on messy interactions, AI running across dozens of workflows at real volume, and the repeatability and quality bar engineering already lives by.
How we build
Small team. Production systems. Fast feedback.
Turn judgment into software rails.
Reviews, thresholds, citations, and handoffs become explicit controls the system can run and explain.
Ship inside the system of record.
CloudRaker improves by running real workflows with operators, not by producing one-off recommendations.
Bring us the hard operation
Show us the process that has to be right every time.
We will show you what it looks like when CloudRaker turns it into controlled, reviewable work.