The independent operator for enterprise agentic AI.
Enterprises are already operationalizing AI. Operating it in production — accountably, at cost, under real conditions — is a different discipline than building it. BeanSprout AI is that discipline.
Most firms in this market sell capability — a model, a platform, a build — and are accountable for their tool working. We took the opposite position: we are accountable for the business outcome the AI is hired to produce, for as long as we run it.
That single difference reorganizes everything. We do not hand a system over and leave. The team that designs and engineers a system is the team that operates it in production — measured by how it performs inside your business, governed by controls a board can stand behind.
It is a quieter promise than most AI marketing, and a harder one to keep. It is also the only one that matters once the pilots are over and the work has to run.
Three things, held without exception.
No vendor allegiance.
We are owned by no model provider and resell for no cloud. The architecture we recommend is determined by your requirements alone — frontier-neutral, every time.
We operate what we build.
The same people who design a system run it in production. For as long as we operate it, we are measured by how it performs — not by whether a deliverable shipped.
Operations as a profession.
Running agentic AI in production is its own craft, like the controller or the SRE before it. It is the whole of our practice, not a service bolted onto something else.
A deliberate assembly of rare disciplines.
Researchers drawn from the laboratories where these systems are built, engineers who keep them reliable under real conditions, and operators who have answered to a board. Rare on their own — uncommon together.
Senior leadership across Microsoft, Google, AWS, Accenture, DXC, HPE, Cisco, and GE.
Officer-level alliance leadership — Microsoft's partnerships with OpenAI and Anthropic, and DXC's with Google.
Two companies founded and taken public on the NASDAQ.
Start with a Charter.
A fixed-fee diagnostic that turns "we should use AI" into a costed, governed plan to operate it in production.