We’re CloudRaker.
Developers, architects, designers, analysts, and a few industry specialists who can't stop talking about stuff like reinventing patient intake at dinner. We build RakerOne because we've spent careers inside the work it runs.
Process nerds,
on a mission.
We all have a weakness for the unglamorous part of a business.
You know, the intake form nobody reads, or the Excel-to-Salesforce-to-Sharepoint-to-Email triple backflip that only works because Lisa remembers what to do.
Most of us have a vertical we can't shut up about. One of us has strong opinions about what it takes to speed up insurance certificate issuance. Another one has preferences about digital credential standards, since they rolled it out themselves to a million people.
That's the team. No need for hall of portraits, because you’ll meet them soon enough, when they’re fighting by your side against processes that slow down your business.
We ship software for the kind of clients who notice, and get noticed.
The folks on our team have all delivered software into enterprises (and governments) for years, where a bug escalates to a ticket with your name on it, a compliance memo, and, that one time, a newspaper headline.
That kind of work teaches you things that don't come up in a demo. How a spec written in year one is obsolete by year three. How the senior person who actually understands the process is the one you never get enough time with.
We've been the consultant who built exactly what the spec said. We've been the developers integrating systems that were never meant to talk to each other. We've been the business owner who watched the rollout land sideways.
We learned.
GenAI changed everything, but not
quite how we’d hoped.
A tool that reads a document, drafts an email, makes the ambiguous parts of the work suddenly tractable. The promise was real and we jumped on it.
What we watched play out was different. Demos went beautifully, but then the system hit a real business — with its rules, its approval chains, its systems of record that do not take kindly to a confidently-generated mistake — and the deployment stalled.
AI consumes structure more than it creates it. Put it in an operation that already has clean data, clear entities, explicit rules, and it's a force multiplier. Put it in an operation held together by well-meaning people and implicit rules, and it's chaos at machine speed. AI can't follow guardrails it can't see.
RakerOne is the structure we kept reaching for.
Schemas the model has to pass through. Rules that trigger at the right moment, not at the database layer. A human saving time, approving what matters. An algorithm writing to the system of record. AI doing the part AI is good at and never gets bored with, and the operation, finally, running.
How we work.
Join us or let's run your work.
Come see it, or come build it with us.