Future Secure AI raises US$80m at US$1.2bn valuation
Sydney-born Future Secure AI has raised US$80 million at a US$1.2 billion valuation to expand its AI co-workers for large organisations worldwide.

Future Secure AI, a three-year-old startup that builds AI "co-workers" for large organisations, has raised US$80 million at a valuation of US$1.2 billion (A$1.7 billion).
The round was backed by Square Peg, Yarra Capital Management, Macquarie Asset Management and Firetrail, and was structured as convertible notes. It is the company's third funding round, following its previous raise in June 2025. Founded in Sydney in 2023, the company is now headquartered in Austin, Texas.
AI agents with names and faces
Future Secure AI targets complex, knowledge-heavy work in sectors including investment banking, consulting, healthcare and law. Its technology assembles teams of AI agents, each with a name and a face, which are overseen by a human supervisor. That keeps a person in charge of the output while the agents handle the workload.
The company's co-CEOs, Baghai and Hunter, said the new money will help bring this approach to more customers internationally. The business already has offices in Sydney, Melbourne, New York, Chicago, Austin, Toronto and São Paulo.
Growth and listing plans
Future Secure AI expects annual recurring revenue to approach US$100 million by the end of 2026, according to a report in the Australian Financial Review. If it gets there, that would put the company among the faster-growing enterprise AI vendors to emerge from Australia.
An ASX listing is also on the agenda for late 2027, with investment banks expected to be appointed in the coming months. For customers, the funding signals that the company intends to scale its platform and support teams beyond its home market. For investors, the combination of a unicorn-level valuation, a near-term revenue target and a public-market timetable makes it one of the more closely watched AI application companies in the region.
The approach of pairing named AI agents with human oversight also reflects a wider push among enterprise software vendors to make autonomous tools easier for regulated industries to trust and adopt.
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