BioCatch vs Hawk AI

BioCatch has a disclosed valuation of $1B, while Hawk AI's valuation is not publicly available, making a direct size comparison difficult. BioCatch employs 100-500 people.

BioCatch has raised more in total funding at $213M, compared to Hawk AI's $50M — a gap of $163M.

BioCatch holds the higher Awaira Score at 80/100, compared to Hawk AI's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 20-point gap that reflects meaningful differences in scale or traction.

BioCatch was founded by Avi Turgeman in 2011. Hawk AI's founder information is not currently available in our database.

BioCatch: BioCatch provides behavioural biometrics and fraud prevention AI that analyses how users physically interact with digital devices — mouse movements, typing cadence, touch pressure, and navigation patterns — to authenticate genuine users and detect account takeover, social engineering, and application fraud in real time during banking and financial transactions. The Tel Aviv company processes behavioural signals from hundreds of millions of user sessions monthly, building individual profiles that flag deviations indicating fraud.\n\nThe company raised approximately $213 million in venture funding including a Series D led by Tiger Global, reaching a valuation exceeding $1 billion. BioCatch counts over 30 tier-one banks globally among its clients including American Express, NatWest, and Lloyds Banking Group, with deployments protecting online banking and mobile banking sessions from fraud that bypasses traditional authentication controls. The platform is particularly effective against malware-assisted fraud and social engineering scams where the genuine account holder is unknowingly manipulated.\n\nBioCatch competes in the behavioural biometrics and fraud intelligence market alongside ThreatMetrix (now LexisNexis Risk Solutions), Sift, and Sardine, as well as traditional fraud management platforms from FICO and SAS. Its differentiation is the depth of its behavioural feature engineering from passive interaction signals that do not require active user participation, creating a fraud layer that operates continuously without adding friction to legitimate user journeys. The growing prevalence of authorised push payment fraud and social engineering attacks in European banking has expanded the relevant use case for BioCatch beyond traditional account takeover detection. Hawk AI: Hawk AI develops anti-money laundering (AML) and fraud detection software that combines traditional rule-based transaction monitoring with machine learning models to reduce false positive alert rates and improve detection of genuine financial crime patterns. The platform is deployed by banks and payment service providers globally to automate suspicious activity review and support SAR filing workflows.\n\nThe company raised approximately 50 million USD and has established a European customer base anchored in Germany before expanding to financial institutions across the US, UK, and Asia Pacific. Hawk AI targets the acute compliance cost problem in AML operations, where traditional rule-based monitoring generates 95 to 99 percent false positive rates that consume analyst resources without proportionally improving detection outcomes.\n\nRegulatory pressure on financial crime compliance is intensifying globally, with fines for AML failures reaching multi-billion dollar levels at major institutions. AI-driven compliance platforms that demonstrably reduce false positives while maintaining or improving suspicious activity detection carry a compelling ROI story for compliance departments managing growing alert volumes with constrained headcount. Hawk AI competes with established vendors and a growing field of AI-native AML startups.

BioCatch was founded first in 2011, giving it 7 years of additional market experience. Hawk AI was founded later in 2018. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Both BioCatch and Hawk AI report similar employee counts of approximately 100-500. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.

Yes, BioCatch and Hawk AI are direct competitors — both operate in the AI Security space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.