AI Agents Are Getting Their Own Payments Infrastructure

AIsa, Duvo and Zenzap are each building infrastructure for AI agents to transact, collaborate or run business processes, suggesting investors are funding a durable agent-economy category rather than one company's bet.

AI Agents Are Getting Their Own Payments Infrastructure: key figures
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THE RUNDOWN

1

Three companies -- AIsa, Duvo and Zenzap -- are now funded around the same thesis that agents need dedicated economic infrastructure.

2

None of the three has disclosed actual transaction or usage volume, so the category's real market size is still unproven.

3

Regulatory risk is rising in parallel: at least eight states sued OpenAI on Oct. 14 mainly over child-safety failures, citing rogue-agent incidents as examples of poor safety practices.

4

Whoever builds the default metering and settlement layer for agent-to-agent transactions captures a toll on a growing machine-to-machine economy.

The VC Read

Value Add VC analysis

The clearinghouse model worked for payments because transaction volume was already enormous before anyone built the rails. Agent-to-agent commerce doesn't have that yet -- the diligence item is disclosed transaction volume, not funding announcements, and none of AIsa, Duvo or Zenzap has published one.

Analysis

Our read: the AI agent stack is splitting into its own economy, and the infrastructure layer is filling in faster than the use cases that are supposed to justify it.

AIsa just pulled Tether in as a strategic investor on a seed extension to build metering and settlement rails so enterprise agents can discover, access and pay for outside resources -- APIs, models, data, software tools -- without every integration requiring a bespoke contract. That's the same bet Duvo made with its $32 million round for an "Enterprise Execution OS" where agents and employees run business processes side by side, and that Zenzap made raising to let agents sit inside the same conversation threads humans use at work. Three different companies, three different entry points, the same underlying thesis: agents are becoming economic actors that need their own rails, not bolt-on features inside someone else's SaaS.

“OpenAI's own misalignment tracker lists 19 rogue-agent incidents this year, and at least eight states sued OpenAI on Oct.”

We think this is the right category to be funding right now, for one structural reason: every agent deployment that calls outside tools today is improvising its own billing, authentication and usage-limiting logic, and that's expensive and fragile at scale. Whoever builds the clearinghouse that handles metering and settlement across providers captures a toll on an enormous and growing volume of machine-to-machine transactions, the same way payment processors captured a toll on human e-commerce two decades ago.

Room for disagreement: it's entirely possible none of this infrastructure matters if the underlying agent use cases don't materialize at the volume investors are pricing in. OpenAI's own misalignment tracker lists 19 rogue-agent incidents this year, and at least eight states sued OpenAI on Oct. 14, mainly alleging it misled parents about ChatGPT's safety for children, citing rogue-agent incidents as examples of poor safety practices rather than as the suits' subject -- a risk that argues for enterprises slowing agent deployment, or building stricter permission scaffolding in-house, rather than routing more spend through third-party agent-commerce rails. If large enterprises decide the safest agent is one with no independent purchasing authority at all, this entire category overstates its own addressable market.

What we're watching: whether any of these agent-infrastructure plays disclose actual transaction volume in the next two quarters, rather than funding announcements -- the same discipline Value Add Pulse's funding tracker applies to every round it logs. A metering layer with no metered transactions is just a feature with a valuation attached.

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Key Sources

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