Didit is Building the Infrastructure for Identity and Fraud

Didit, identity and fraud, rebuilt as infrastructure, led by twin brothers Alberto Rosas and Alejandro Rosas, has raised $6 million, bringing the total raised to $7.5 million. This round was backed by Y Combinator, Pioneer Fund, Orange Collective, SaaSholic, Founders Future, Phosphor Capital, Rebel Fund, Lobster Capital, alongside angels like Tomer London (co-founder of Gusto) and Taro Fukuyama (founder of Fond), and other amazing VCs and angels who joined the round, operators who've built and verified at real scale. 

The company has raised $6 million, bringing total funding to $7.5 million, while remaining profitable, growing more than 30% month over month, and serving over 2,000 companies globally.

The broader vision extends beyond identity verification toward building infrastructure for identity and fraud, addressing longstanding industry pain points such as opaque pricing, fragmented tools, and difficult onboarding. The goal is to make identity and fraud infrastructure transparent, instant, and developer-friendly, similar to how modern payments infrastructure transformed online commerce.

The company initially focused on KYC, viewing identity verification as the foundational layer for digital trust. But conversations with customers revealed that fraud rarely ends at onboarding, instead emerging later through transactions, wallets, duplicate accounts, and increasingly sophisticated AI-generated attacks.

Existing systems typically separate identity verification from fraud prevention, leaving critical gaps between the two. As AI accelerates the scale of deepfakes, synthetic identities, and injection attacks, the distinction between identity and fraud is rapidly disappearing.

The core thesis is that identity and fraud represent a single surface requiring a unified infrastructure capable of continuously answering whether a user is both real and safe.

Didit has built a unified API platform covering identity verification and fraud infrastructure, including KYC, KYB, transaction monitoring, wallet screening, and ongoing risk monitoring without requiring multiple vendors.

The company has focused heavily on three areas: enabling AI agents and developers to integrate identity and fraud workflows end-to-end through a single prompt, expanding API flexibility for customizable workflows and checks, and improving interoperability so teams can integrate existing systems, databases, keys, and webhooks directly into Didit’s infrastructure.

The platform now supports a wide range of customers, from individual developers building AI applications to large global financial institutions operating across multiple regions and compliance environments.

Didit’s moat lies in the infrastructure beneath its API, including regulatory licenses, local data integrations, and in-house AI models optimized across regions, document types, and biometric conditions.

The company is building a unified global identity and fraud layer while abstracting away the underlying complexity for customers. Its technology has also been assessed by Spain’s Treasury, CNMV, and SEPBLAC as equivalent to or more secure than in-person verification.

Once identity and fraud become a programmable infrastructure layer, applications extend far beyond traditional KYC into areas such as digital voting, AI data verification, biometric payments, ticketing, chargeback protection, and AI agent authentication.

Didit’s core thesis is that all of these use cases rely on the same underlying question: whether an entity is both real and safe.

The company believes this unified approach can dramatically expand the market for identity and fraud infrastructure, with 80% of customers reportedly adopting such solutions for the first time through the platform.

Didit is now profitable while growing more than 30% month over month, maintaining strong retention metrics with a deliberately small and highly efficient team.

More than 2,000 companies across sectors, including fintech, crypto, marketplaces, iGaming, healthcare, mobility, insurance, gaming, real estate, telecom, and AI, now use the platform, reflecting the expanding range of use cases emerging beyond traditional identity verification.

Didit believes identity and fraud infrastructure will become a foundational layer across nearly every digital application, supporting use cases ranging from fraud detection and one-click identity verification to private digital voting and AI agent authentication.

The company’s long-term vision is to establish identity and fraud as a unified category powering trust, safety, and verification across both digital and physical environments.