Lyzr raises $100 million with its own AI agent handling investors

Lyzr said its own AI agent helped it close a $100 million Series B, turning a fundraising pitch into a live demonstration of the enterprise software it sells. The Jersey City, New Jersey, startup said the agent, called SivaClaw, fielded questions from more than 130 investors, drafted investment memos and tracked which slides backers spent the most time on.

The company’s pitch reached far beyond a typical founder road show. Bloomberg reported that investor interest totaled about $400 million and came from Silicon Valley, the Middle East and financial-sector investors, while the deal was valued at roughly $500 million. That suggests the investors were not just buying a flashy demo. They were also betting that Lyzr’s agent infrastructure could survive the scrutiny of buyers in regulated industries and hold up beyond a single fundraising sprint.

Lyzr is three years old and has spent the past year making the case that agentic AI can be governed, self-hosted and usable inside large enterprises. The company has said its earlier Series A raised $8 million, led by Rocketship.vc with participation from GFT Ventures, Accenture Ventures, Firstsource, Plug and Play, BGV, Partnership Fund for New York City and Arka. Henry Ford III joined Lyzr’s board after that round, adding another prominent name to a cap table the company has used to signal staying power.

The latest financing also fits a pattern in Lyzr’s own history. The startup has said an earlier agent-assisted process helped it raise $15 million, and it now presents that automation as part of a broader enterprise stack rather than a stunt. Accenture later invested in Lyzr to support agentic AI for banking and insurance companies, a detail that matters because those sectors tend to demand more than a polished demo. They require controls, auditability and a sales process that can stand up to compliance teams.

What Lyzr showed with SivaClaw was not a fully automated capital raise. It was a narrower claim: an AI agent can absorb part of the investor-relations workload, from answering questions to summarizing attention across a deck. The humans still owned the company, the strategy and the final terms. The agent handled the theater and the triage.