Anand Iyer

Iyer built developer platforms at Microsoft before founding Trusted, a childcare marketplace acquired by Care.com in 2018. His career subsequently included a visiting-partner role at Pear and a venture partnership at Lightspeed. He founded Canonical in 2022 and leads its early-stage investing across AI infrastructure, physical AI and agentic commerce.[3]

Canonical Labs publishes interactive tools for founders, fund managers and investors. Dilution Lab models funding rounds, option pools and exit outcomes; Fund Modeler explores portfolio construction and fund-return measures. The common approach is to turn assumptions into adjustable inputs so a user can examine how a term or outcome distribution changes the result. These are the firm’s tools, without a claim that Iyer individually implemented each one.[1]

In Agents Can’t Transact, Iyer argues that useful commercial autonomy needs more than a capable model. A counterparty must know an agent’s identity and authority, the agent needs a way to contract and settle, and its operator needs scoped permissions and an audit trail. He examines separate infrastructure layers, including bounded accounts and transaction-risk services. These examples support his investment thesis about missing infrastructure; the essay does not establish that the proposed market structure is complete.[4]