AIsa, a San Francisco-based startup building transaction infrastructure for AI agents, announced a $6.5 million seed round co-led by Alibaba and Tribe Capital, according to a GlobeNewswire press release syndicated through Business Insider on July 7. Draper Associates, Sumitomo Corporation, Saison Capital, and other investors also participated.
The company operates a transaction layer that allows AI agents to discover, access, and pay for digital resources: AI models, APIs, real-time data feeds, search services, SaaS tools, compute infrastructure, and other agent services. Billing is usage-based, with settlement available in fiat or stablecoins.
The Problem AIsa Targets
Most digital services still require human-oriented signup flows, manual API key management, subscription contracts, and checkout pages. Autonomous agents cannot navigate these workflows efficiently. AIsa combines a resource gateway (connecting agents to available services) with an agentic payment layer (metering usage, enforcing spending controls, and settling transactions) into a single programmable interface.
“Every major payment network won by sitting next to the resources its users actually wanted to buy. PayPal grew alongside eBay, and Stripe grew alongside internet commerce,” Jordan Liu, AIsa’s founder and CEO, said in the announcement. “AI agents are becoming economic actors. They research, call tools, consume data and make payments on behalf of users and businesses. But they cannot operate through signup flows, subscriptions and checkout pages designed for humans.”
Tribe Capital investor Francis Zhan framed the thesis directly: “As agents become first class citizens of the internet, they will need to pay for APIs, data, compute, identity, permissions, and services in a more programmatic way than humans do.”
Growth Numbers
AIsa reported sharp acceleration in the first half of 2026. From February to June, registered agent users on the platform grew 150x. Aggregate API calls and transactions processed through the network grew 200x over the same period. The company has onboarded more than 50,000 registered agents without paid marketing.
Growth correlated with the expansion of agent framework ecosystems. AIsa cited OpenClaw and Hermes specifically as ecosystems that brought AI-native developer communities onto the platform. The company’s customer base includes Impossible Finance, which uses AIsa to access models, data, and APIs through a single interface, paying only for actual usage rather than managing separate vendor contracts.
The Funding
The $6.5 million represents AIsa’s total funding to date, including the new seed round. The company plans to use the capital to expand engineering, scale payment infrastructure, onboard more model and API providers, and accelerate stablecoin settlement capabilities for agents and businesses worldwide.
Alibaba’s participation as co-lead signals international institutional backing for the agent commerce category. Tribe Capital, whose portfolio includes OpenAI, Kraken, and SpaceX, brings infrastructure-focused venture expertise. The investor mix positions AIsa at the intersection of AI infrastructure and fintech rather than pure crypto or pure AI.
Competitive Landscape
AIsa occupies an emerging category with few direct competitors at scale. Moonbeam Network recently pivoted from its Polkadot parachain to Ethereum layer-2 Base to build agent communication and settlement infrastructure. Several crypto projects have announced agent wallet or agent payment features. But AIsa’s approach is distinct: rather than building on-chain-first infrastructure, the company provides a unified gateway where agents can access resources and settle payments in either fiat or stablecoins, reducing the barrier for non-crypto-native developers.
The funding arrives as the broader agent infrastructure market consolidates around distinct layers: security and governance (Radware, Prompt Security), observability and approval (Agent Approve), orchestration (OpenClaw, Hermes), and now commerce and settlement (AIsa). Each layer addresses a different bottleneck in moving agents from prototype to production.