Variance (formerly Intrinsic) builds AI investigative agents for risk and compliance. The platform automates end-to-end workflows for fraud reviews, AML, KYC/KYB, sanctions screening, and content mode
Variance (formerly Intrinsic) builds AI investigative agents for risk and compliance. The platform automates end-to-end workflows for fraud reviews, AML, KYC/KYB, sanctions screening, and content moderation — collecting evidence from transaction data, company registries, PDF filings, sanctions lists, adverse media, and open web sources, then returning fully auditable decisions in minutes. Founded by former Apple Fraud Engineering (FEAR) team members, Variance serves financial institutions and Fortune 500 companies, helping Trust & Safety and compliance teams scale investigations with agentic AI behind a single API.
Total raised
$26.0M
Last stage
Series A
Investors
Karine Mellata
Karine is an engineer and Trust & Safety leader who previously worked on Apple's Fraud Engineering, Algorithmic Risk (FEAR) team, which evolved into Apple's Trust & Safety function, tackling spam, botting, account security, and developer fraud for over a billion users. She co-founded Intrinsic (now Variance) to build AI agents for investigations and fraud reviews and to make the internet safer, one line of code at a time.
LinkedInLawrence Pan
Early software engineer at Variance, previously at Stripe, with experience building large-scale, developer-facing and financial infrastructure systems. As a founding engineer, he likely focuses on core platform architecture, integrations, and scalability.
LinkedInMichael Lin
Michael Lin
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.