Budapest-born, London-HQ'd fraud prevention and AML platform — founded by Tamas Kadar and Bence Jendruszak after they got burned by fraud at their own Hungarian crypto exchange, now $187M raised and used by 5,000+ businesses globally
SEON is one of the strongest European-built fraud prevention platforms, in the same competitive bucket as Sardine globally — but with a meaningfully different design philosophy. Where Sardine emphasises behavioural biometrics, SEON emphasises digital-footprint enrichment: feed the platform a customer's email, phone or IP, and within 200ms it returns a structured "is this a real person?" signal — what social media accounts the email is registered on, how old the phone number is, what apps the device has, what the IP's risk reputation looks like, and dozens of other signals correlated against fraud outcomes. The company was founded in 2017 in Budapest, Hungary by Tamas Kadar (CEO) and Bence Jendruszak (COO), after they ran a Hungarian crypto exchange and discovered that existing fraud tools were "too slow, rigid, or expensive". Funding: $94M Series B in April 2022 led by IVP at a $500M valuation, and a $80M Series C in September 2025 led by Sixth Street Growth (with IVP, Creandum, Firebolt continuing and Hearst entering as a new investor) — bringing total funding to $187M. SEON serves 5,000+ businesses globally and has been one of the more visible "AI-native fraud" entrants of 2024–2025. For Indian product teams, the framing is: SEON is the right tool for cross-border, crypto, gaming and global-online-marketplace fraud problems where digital-footprint enrichment is the biggest signal — much less the right tool for India-domestic Aadhaar-rooted fraud.
SEON is a real-time fraud prevention and AML compliance platform that ingests basic identity inputs — email, phone number, IP address, optionally device fingerprint and transaction context — and returns a structured risk decision in milliseconds. The platform's defining capability is digital footprint enrichment: SEON queries dozens of public and proprietary data sources (social media presence, email-domain age, app-installed signatures on phones, breach data, IP reputation databases, sanctions and PEP lists) and combines them into both raw enrichment data and a single fraud / AML score, with a configurable rules layer that compliance teams can customise.
The founding story is unusually direct. Tamas Kadar and Bence Jendruszak met as students in Hungary and in 2014–2015 launched a small crypto exchange. The exchange immediately got hammered by fraud — fake accounts, stolen-card chargebacks, money-laundering attempts. The off-the-shelf fraud tools at the time (LexisNexis, Whitepages, etc.) were either too expensive, too slow, or built for a US/Western-bank context that didn't translate. So the founders built their own digital-footprint-based fraud system to keep the exchange alive, and over 2016–2017 realised the system itself was more valuable than the exchange. They wound down the exchange and SEON formally launched as a SaaS product in 2017.
The company is now headquartered in London, UK with a substantial engineering and product team in Budapest, Hungary. Funding to date totals $187M: an early-stage round, followed by a $94M Series B in April 2022 led by IVP at a $500M valuation, and most recently a $80M Series C in September 2025 led by Sixth Street Growth, with continuing participation from IVP, Creandum and Firebolt, and a new investor (Hearst) coming in. Sixth Street's MD Michael Bauer joined SEON's board as part of the round. The company has stated its 2025–2026 focus is shipping AI-native and "agentic" compliance features that reduce manual fraud-analyst review time.
One important taxonomy note for Indian readers: this page lives in tools/payments/ for legacy URL reasons, but SEON is functionally a fraud / AML / KYC tool, not a payments processor. Treat it as competitive with Sardine, Sift, Forter, Kount and similar — not with payment gateways.
Given an email address, SEON returns: domain age and registrar, social-media presence (does this email have accounts on Facebook, LinkedIn, Twitter/X, Github, Spotify and 30+ others), breach data exposure, free-email vs corporate-domain signals, disposable-email detection. The signature feature, and what most customers integrate first.
Carrier lookup, line type (mobile / VoIP / landline), country, registration age, social-media accounts associated with the number, WhatsApp / Telegram / Viber presence indicators. Particularly useful for distinguishing real customer accounts from fraud farms using burner SIMs.
IP reputation, geolocation accuracy, ISP, VPN/proxy/Tor detection, hosting-provider flags, device fingerprinting and emulator detection. Same signals most fraud platforms ship; SEON is solid here, not class-leading.
Real-time screening against OFAC, EU, UN, UK HMT and a long tail of national lists, plus PEP lists and adverse-media screening. Case-management workflow for compliance team review of flagged hits.
Machine-learning models that combine all the enrichment signals into a single risk score, plus a configurable rules engine for compliance teams to override or extend. Post Series C (Sept 2025) the company is shipping autonomous-agent features that triage cases and draft AML investigations with reduced human review.
Single REST API for real-time risk decisions, plus a dashboard for compliance analysts to manually review flagged transactions, see all enrichment signals in one screen, and approve / reject / escalate. The dashboard is particularly well-designed by industry standards.
SEON does not publish list prices. Real-world contracts in 2025–2026 typically structure as a combination of:
The page's previous "From $999/month / ₹83,916/month" figure was likely an old self-serve tier that doesn't match current published pricing. SEON does have a self-serve / "Free" trial model where you can experiment with the API before signing a contract, but real production deployments are sales-led. Validate live pricing on seon.io/pricing.
SEON is the wrong call when: you're a domestic Indian fintech where most fraud signals come from Aadhaar / UPI / CIBIL / mobile-OTP behaviour — use HyperVerge, IDfy, Karza or Bureau as the primary stack. SEON's coverage of India-specific data sources is meaningfully thinner than the India-built vendors. Also wrong if you primarily need behavioural biometrics on the page — Sardine wins there.