t54.ai Raises Capital for AI Agent Identity and Risk
Startup t54.ai has raised a new funding round from investors including Ripple and Franklin Templeton. The company is building infrastructure for verifiable identity and risk assessment for AI agents, initially targeting the financial sector. The investment will be used to scale its product for production-grade agentic systems.
The $5 million seed round for t54.ai was co-led by Anagram, PL Capital, and Franklin Templeton, with strategic participation from Ripple and others. The San Francisco-based company, founded in January 2025, is building what it calls a "trust layer" for an economy increasingly powered by autonomous AI agents. The core problem t54.ai addresses is that as AI agents move from making recommendations to executing financial transactions, there's no standard way to verify their identity, assess risk, or ensure accountability. Their solution is a "Know Your Agent" (KYA) framework that covers developer verification, the origin of the AI model, and the agent's intended purpose. This is crucial as Gartner predicts over 40% of enterprise workflows will involve autonomous agents in 2026. t54.ai's platform includes real-time risk assessment by analyzing an agent's behavior and code to flag anomalies before transactions occur. The company also plans to underwrite credit lines for AI agents based on their verified identity and risk scores. This infrastructure is built to be payment rail-agnostic but currently operates across blockchains like XRP Ledger, Solana, and Base. The company was founded by Chandler Fang, formerly the Lead Product Manager of Payments at Ripple, and Sergio Chan. The team of 12 plans to hire more engineers with the new funding to accelerate product development and expand institutional partnerships. Advisors to the company have backgrounds from FICO, JP Morgan, the FDIC, the SEC, and VISA. For Ripple, this investment aligns with its strategy to support infrastructure for machine-to-machine payments on the XRP Ledger. Franklin Templeton's involvement is part of a broader push by the asset management giant to integrate agentic AI across its own operations for everything from research to retirement planning. This move into verifiable digital identity for non-human actors is a growing field. Unlike traditional identity systems built for humans, AI agents require cryptographic proof of their identity and clearly defined, revocable permissions. The goal is to transform AI agents from opaque automation scripts into accountable, governed entities.
