Hawk AI vs Onfido

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Hawk AI employs 100-500 people, while Onfido has 500-1000 employees.

Onfido has raised more in total funding at $200M, compared to Hawk AI's $50M — a gap of $150M.

Onfido holds the higher Awaira Score at 68/100, 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 8-point gap that reflects meaningful differences in scale or traction.

Onfido was founded by Husayn Kassai in 2012. Hawk AI's founder information is not currently available in our database.

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. Onfido: Onfido provided AI-powered identity verification services, using computer vision and machine learning to authenticate government-issued documents and biometric selfies for remote customer onboarding. The platform enabled banks, fintech companies, and regulated service providers to comply with Know Your Customer requirements without requiring in-person identity checks, processing identity verifications across more than 195 countries and supporting hundreds of document types.\n\nFounded in London in 2012, Onfido raised approximately $200 million from investors including SoftBank, TPG Growth, and Salesforce Ventures before being acquired by Entrust, the identity security company, in 2024 for approximately $400 million. At the time of acquisition, Onfido was processing hundreds of millions of identity checks annually for clients including HSBC, Revolut, and Bitstamp, making it one of the largest independent identity verification providers in the world.\n\nOnfido competed in the KYC and identity verification market alongside Jumio, Mitek, and AU10TIX, as well as large platform players including Experian and LexisNexis. The acquisition by Entrust gave Onfido access to a broader portfolio of physical and digital identity credentials and an enterprise sales channel with reach across government, banking, and enterprise security. The combined entity positions Entrust as a full-stack identity provider spanning physical documents, digital certificates, and AI-powered biometric verification.

Onfido was founded first in 2012, giving it 6 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.

Hawk AI has approximately 100-500 employees, while Onfido has approximately 500-1000. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Hawk AI and Onfido 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.