Eleven months ago, I founded Sapiom.
Six months ago, we announced our $15 million seed.
Today, we are announcing our $35 million Series A, led by Dragonfly, with participation from Accel, Anthropic, Gradient, Coinbase, Operator Collective 🔆, Formus Capital, and VanEck, alongside continued support from existing investors including Okta Ventures, Menlo Ventures, and Array Ventures, bringing total funding to $50 million.
Alongside the round, we’re revealing what we’ve spent those eleven months building: Sapiom Router, Sapiom Agent Studio, and Sapiom Agent Runtime
Every tool humans have ever built was designed for a human operator.
For the first time, software can be the operator. Agents are deciding which tool to use, which service to call, and which action to take next on their own.
Almost none of our software or financial infrastructure was built for that.
Today, anyone can build a capable agent demo in a weekend. Getting it to run reliably at scale, at a cost the business can sustain, is much harder.
Before moving to Sapiom, one customer running thousands of agents asked what should have been a reasonable question:
How many agents ran yesterday, and what did they cost?
The answer was $12,000, but nobody knew what it had paid for. They could not see which agents ran, which tasks succeeded, where agents got stuck, or how many times they retried the same failed step.
Sapiom is production infrastructure for AI agents. It sits at the exact moment an agent is about to act.
For every action, Sapiom selects the best allowed path across models, compute, tools, and services based on cost, performance, permissions, and the boundaries the business has set.
Because we run our own inference stack on dedicated GPUs, you get the most affordable path while also keeping your data in the US.
Budgets and permissions are enforced before anything runs, and every step is recorded with its cost and outcome.
- Sapiom Router lowers what you pay per call by matching every call to the right model instead of defaulting to the most expensive one. It takes two lines of code to try against agents you're already running.
- Sapiom Agent Studio is where builders create, test, inspect, and deploy agents as real code inside the coding environment they already use.
- Sapiom Agent Runtime is the production infrastructure where those agents run, recover from failures, access outside capabilities, and operate within the boundaries you set.
In our first six months, Sapiom has processed more than 270 million transactions across more than 100,000 daily agent runs.
One customer reduced its inference costs by 75%.
We're starting with cost because that's where the economics break first.
Our ambition is to remove everything standing between builders and the next trillion agents.
Bring the agents you already have, or start fresh. Your first agent can be running on Sapiom in under 10 minutes.
