AIsa, a San Francisco-based startup, has raised $6.5 million in seed funding led by Tribe Capital and Alibaba, with additional participation from Draper Associates, Sumitomo Corporation, and Saison Capital, according to Forbes. The company is building what it describes as an "Amazon for agents" — infrastructure that lets AI agents transact on digital platforms without a human in the loop.

The problem AIsa is targeting

Most digital platforms and APIs were built for humans to click through checkout flows, enter payment details, and accept terms — not for autonomous software to transact at machine speed. AIsa's pitch is that this gap blocks AI agents from independently discovering, accessing, and paying for resources such as data feeds and third-party APIs, which limits how much of a workflow an agent can actually complete without a person stepping in to authorize a purchase.

AIsa's product is a programmable transaction layer that agents can call directly, with usage-based billing that settles in either fiat currency or stablecoins. The company says this design is aimed particularly at microbusinesses and lean startups — small teams that want to run agent-driven operations without building their own billing and access infrastructure from scratch.

Traction and what's next

According to Forbes, AIsa — a 10-person team founded in 2025 — saw a substantial rise in usage during the first half of 2026 as the broader "agentic web" ecosystem grew. The company plans to use the new funding to expand its resource marketplace and build out enterprise controls, including budgets, approval workflows, and audit trails, features aimed at giving businesses oversight over what their agents are authorized to spend and on what.

The round is the latest in a wave of 2026 funding for infrastructure that supports autonomous agents rather than the agents themselves — a category that has drawn increasing venture interest as more companies move agentic tools from pilots into production and run into the practical limits of systems designed for human operators.