Didit has raised $6 million, bringing its total funding to $7.5 million. The company is now profitable, growing more than 30% month over month, and has evolved from identity verification into something broader: infrastructure for identity and fraud. Six months ago, the company announced that it had joined Y Combinator.
Today, the company is announcing this new funding round, bringing total capital raised to $7.5 million. Didit is profitable, growing more than 30% month over month, and now serves more than 2,000 companies across every region of the world.
But the funding is not the main point. What matters is that, in just six months, what the company is building has become both bigger and clearer at the same time. Didit did not set out to become an identity verification company. Its ambition has always been to build the infrastructure layer for identity and fraud, and it now has the validation, customers, and capital to make that vision a reality.
The company rarely publishes posts like this. Those who know the team understand that they are obsessive builders more than talkers. But this moment felt worth pausing for. So the company decided to explain what it is building, why the opportunity is so large, and where it is heading.
Today, identity and fraud resemble online payments fifteen years ago: opaque pricing hidden behind sales calls, painful onboarding, disconnected tools, and a market that treats verification as a tax on building rather than as a competitive advantage. Didit is obsessed with reversing that dynamic by making identity and fraud transparent, instant, and so easy to use that an entirely new generation of companies can be built on top of it.
What the company kept noticing
Didit started with KYC because it is the hardest piece. If a company cannot verify a person securely, cheaply, and instantly, it cannot build anything on top of that layer. Everyone told the team not to pursue the market: “the market is saturated” and “you cannot beat the incumbents.” They went all in anyway.
After speaking with hundreds of customers, the company kept noticing the same pattern.
Verifying someone’s identity on day one was never the entire problem. Fraud emerged later: in transactions, wallets, second accounts, or AI-generated faces slipping past weak liveness checks. Companies were buying one product for identity verification and an entirely separate stack for fraud prevention, yet the two systems never communicated with each other. Fraud exists in the gap between them.
AI is now widening that gap at extraordinary speed. Deepfakes, synthetic identities, and injection attacks are becoming cheap to produce at scale. The same wave of AI that is creating millions of new applications is also creating millions of new fraudsters. Every product being built today will constantly need to answer two questions: “is this real?” and “is this safe?”
For Didit, identity and fraud are not two separate markets. They are one unified surface, and nobody had been building infrastructure for it.
What Didit built
Didit is now a single API for identity and fraud. The same platform covers KYC, KYB, transaction monitoring, and wallet screening: authenticating users, verifying individuals and businesses, and continuously monitoring transactions and wallets afterward, without forcing companies to stitch together multiple vendors.
Over the last six months, the company has doubled down on three areas it believes truly matter.
The first is developers and AI agents. AI agents can now integrate Didit end-to-end without ever opening a dashboard. In just five minutes, from a single prompt, tools like Claude Code, Codex, or Cursor can assemble a complete identity and fraud workflow: selecting modules, building workflows, generating keys, and deploying the infrastructure. The fastest integration in the market is no longer built only for humans.
The second is flexibility. Didit has opened all of its APIs. Customers can blocklist faces, query local databases, manage cases, build conditional workflows, run A/B tests, and activate modules with a single click. If a verification check can be imagined, it can be composed.
The third is interoperability. Companies can bring their own keys, trigger their own webhooks inside Didit workflows, and connect the platform to their existing systems. This flexibility is what teams actually need to operate globally, whether they are solo developers building the next AI application or major financial institutions whose products must function across every device, region, and internet connection while remaining compliant in every jurisdiction.
The hard and unglamorous work
What makes Didit difficult to replicate is not the API itself, but everything underneath it.
The company is obtaining licenses, opening subsidiaries, and connecting country by country and region by region to the local data sources that truly matter to customers: biometric databases, credit bureaus, government registries, telecom data, and address data. It is also building its own AI models in-house, without third-party dependencies, optimized across face types, skin tones, document formats, and lighting conditions for different countries.
It is slow, expensive, and deeply unglamorous work. But that is precisely where the moat lies. Didit is quietly becoming the connective tissue for identity and fraud globally, allowing customers to access everything through a single API without ever seeing the underlying complexity.
The company also highlights that it is the first and only identity verification provider whose technology has been assessed by Spanish public authorities — Spain’s Treasury, the CNMV, and SEPBLAC — as equivalent to or more secure than in-person verification.
A layer that plugs into everything
Once identity and fraud become a single programmable layer, the use cases stop resembling “KYC” and start resembling the internet itself.
Didit envisions digital democracies running privacy-preserving elections where users can prove they are eligible voters without revealing their identities. AI data collection systems can verify that the human behind the data is real without harvesting personal identity. Payments can be authenticated through facial scans instead of cards. Ticketing systems can confirm that buyers are adults and bind tickets to real people, eliminating bots and scalpers. Chargeback protection can verify that buyers truly own the payment method. AI agents can have both their credentials and their human operators verified before they are allowed to act.
Underneath all of these examples lies the same primitive question: “is this real?” and “is this safe?” Solve that cheaply enough, quickly enough, and effectively enough, and the market does not grow twofold — it grows a thousandfold.
For the company, the clearest sign that it identified the right opportunity early is that 80% of its customers had never used an identity verification provider before discovering Didit. Rather than competing for existing budgets, the company believes it is creating entirely new demand.
Where the company stands today
Six months ago, Didit was close to profitability. Today, it is profitable while still growing more than 30% month over month, maintaining strong retention metrics and net revenue retention, with a deliberately small and highly efficient team. Growth, efficiency, and discipline simultaneously remain the combination the company values most.
More than 2,000 companies now run on Didit, including fintechs, crypto exchanges, marketplaces, iGaming platforms, mobility companies, governments, healthcare providers, AI labs, music labels, accounting firms, lenders, insurers, dating apps, gaming studios, real estate companies, and telecom operators.
Investors
As with the previous round, some investors believed before the opportunity became obvious. This round was backed by Y Combinator, Pioneer Fund, Orange Collective, SaaSholic, Founders Future, Phosphor Capital, Rebel Fund, and Lobster Capital, Masia VC alongside angel investors such as Tomer London and Taro Fukuyama.
Hiring and vision
Didit is expanding its team across its two headquarters in San Francisco and Barcelona, hiring across GTM, sales, customer success, AI, and compliance roles.
The company believes that, within a few years, Didit will be remembered for creating a new category: identity and fraud infrastructure for the internet. Its vision is for nearly every application to connect to Didit in one way or another, whether to detect fraud in a device fingerprint, verify identity once and reuse it everywhere, enable private digital voting, or authenticate AI agents before they act.
Identity and fraud will become essential layers in every application, and Didit intends to be the company that builds them.
The company closes by thanking its customers, employees, and investors for their trust and support, while reaffirming a philosophy centered on tackling difficult problems precisely because they are difficult.
Didit describes itself as the best way to integrate identity and fraud checks into any application.
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