Bevel is our trusted partner for our ongoing AI transformation. On top of their platform that unifies and validates a single source of versioned truth for all people and their AI agents across the company, they support us in building AI use cases and reinventing processes: agents for RFIs, tender management, and GTM, to name a few. Bevel maintains the reusable context layer as we transform the company, helping us unlock business value through concrete use cases and enabling our people along the way.
Your AI transformation,
built and operated.
Bevel is a build-and-operate partnership for larger organizations. Unlike consultancies that hand you a strategy deck, we do the hard work: find where AI agents help, build them inside your own infrastructure, and run them long-term.
Trusted by
Supported by
Testimonials
What some of our customers say.
Continuous transformation
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01
Find.
Our agents interview your people and pull from your data sources to build an accurate map of how work gets done. From that map we identify where AI can provide business value.
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02
Build.
We build the agents inside your own infrastructure, integrated with the systems and data your teams already work in.
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03
Operate.
We run and maintain them long-term, monitor each one, and kill the ones that don't provide value. The map stays live, so we continuously surface new areas to apply AI as your company evolves. Perpetual, not a one-off project.
Perpetual 24/7 AI support on whatever AI initiative you need to build, at a fraction of the cost of building in-house or hiring for it.
Why us
We operate at the frontier of agent infrastructure.
Our team created the Universal Tool Calling Protocol (GitHub), the leading open alternative to Anthropic's Model Context Protocol. UTCP has been championed at AWS, Adobe, Royal Bank of Canada, and MuleSoft.
“Thank you very much for building UTCP. It's incredibly helpful for multi-tenant agentic AI applications, where MCP isn't always the best fit. I was actually reverting MCP servers back to hardcoded tool descriptions for my agentic AI systems when I came across UTCP, and I think it's fantastic to finally have a universal standard for this. I fully support UTCP, as I see big value in it for building scalable, multi-tenant AI applications.”
“UTCP is a great addition to the agent-tooling space as an alternative to MCP. What I appreciate about UTCP is that it doesn't ask you to rebuild anything. You describe the tools you already have, and agents call them natively, with no proxy server in the middle, no extra hop to operate and secure. It turns ‘integrate AI with our APIs’ from a project into a description.”
Build-and-operate partnership