Apate.AI Raises USD 8.15M Seed to Turn AI Scammers Against Themselves
Sydney-founded Apate.AI has raised USD 8.15 million (AUD 11.4 million) in a Seed round led by Silicon Valley venture firm Lobby Capital, with participation from OIF Ventures, Investible, Concept Ventures, and Baobab Ventures. The round follows a smaller USD 2.5 million seed raise and marks a significant step-up for the company as anti-scam technology draws increasing institutional attention globally.
What Apate.AI Builds
Apate.AI has built a fraud-prevention platform that deploys conversational, multilingual AI bots to engage directly with scammers, wasting their time and gathering intelligence rather than simply blocking their attempts. The platform is already used by Commonwealth Bank, one of Australia's largest financial institutions, to actively counter scam operations targeting its customers, flipping the usual defensive posture of fraud prevention into an active, intelligence-gathering counter-offensive against the scammers themselves.
Why This Round Matters
Financial fraud losses have continued climbing globally as scam operations industrialize, often running call-center-scale operations with dedicated staff and scripts. Apate.AI's approach, using AI to fight AI-scale fraud with a comparable level of automation and persistence, reflects where a growing share of security and fraud-prevention capital is heading: not just detection and blocking, but active engagement and intelligence collection against adversaries who are themselves increasingly automated. Turning the economics of scamming against the scammers themselves, wasting their time on fake conversations rather than simply refusing contact, is also a meaningfully different strategic posture than most fraud-prevention products take, and one that generates intelligence the bank can act on rather than just blocking a single attempted transaction.
What This Means for Founders
A bank-grade enterprise customer like Commonwealth Bank validating the product ahead of this larger seed round is a strong signal for founders building security or trust-and-safety products: landing one credible enterprise reference customer early can meaningfully de-risk a seed-to-Series-A transition, even in a category as specialized as anti-scam AI. The jump from a USD 2.5 million initial seed to an USD 8.15 million follow-on, rather than a full priced Series A, also suggests investors saw enough traction to justify a larger check while the company itself may have preferred to preserve optionality on valuation until further enterprise contracts are signed. A Sydney-founded company also raising primarily from a Silicon Valley-based lead, alongside a mix of Australian and UK participants, is a reminder that specialized security categories often draw capital globally rather than only from investors local to the founding market. Founders building fraud prevention, cybersecurity, or trust-and-safety infrastructure can browse the investor directory on AngelLinxfor relevant funds, use the investor match tool to find investors active in security and fintech-adjacent categories, check the live listing for comparable raises, and review the newsroom for related security-sector coverage. Founders ready to build their investor list can register on AngelLinx to get started.
AngelLinx Intelligence | angellinx.ai