Didit: Building Identity for the AI-First Internet

The internet is entering a phase where trust is no longer a given. For decades, users assumed that what they saw, heard, or interacted with online was, if not always truthful, at least human. That assumption is now collapsing. Artificial intelligence can already replicate faces, voices, and videos with unsettling accuracy, and the barrier to creating convincing fakes is dropping every month. As bots and synthetic identities flood digital spaces, the internet is quietly shifting from an environment of assumed trust to one of required proof.

In this new reality, identity is no longer a background function handled by passwords or one-off document uploads. It becomes a foundational layer—something that underpins logins, payments, access, and participation itself. When trust breaks, identity verification is no longer optional; it becomes mandatory. This shift sets the stage for companies like Didit, which are not merely improving identity verification, but rethinking how identity should work on a post-AI internet.

What Is Didit and Why Was It Built Now?

Didit is an all-in-one identity platform designed to let humans prove who they are quickly, starting with a face scan. Founded in 2023 and headquartered in San Francisco, the company is part of the Winter 2026 batch and has grown to a team of 12. Its mission is straightforward but ambitious: make identity verification finally work on the internet.

The timing of Didit’s creation is not accidental. As AI-generated content becomes indistinguishable from reality, existing identity systems—built for a pre-AI era—are proving inadequate. They are slow, fragmented, and often ineffective at stopping sophisticated fraud while simultaneously creating friction for real users. Didit was built in response to this gap, with the belief that identity infrastructure must be fast, reliable, global, and simple if the internet is to function at scale in the coming decade.

Who Are the Founders Behind Didit and What Shapes Their Perspective?

Didit was founded by identical twins Alberto Rosas and Alejandro Rosas, a detail that is more than just a curiosity. Both founders are former professional tennis players, a background that informs the company’s culture of discipline, repetition, and relentless execution. Alberto Rosas serves as CEO, bringing experience as a former AI engineer and a clear vision of identity as a unified internet layer. Alejandro Rosas, the CTO, approaches the problem from first principles, with a deep focus on mathematics, system architecture, and detail-driven problem solving.

Their personal story of impersonating each other throughout their lives adds an unusual but powerful lens to the identity problem. What was once a harmless quirk between twins is now a global issue amplified by AI. When anyone can convincingly appear or sound like someone else, identity stops being a niche security concern and becomes a universal challenge. Didit is, in many ways, a direct response to that realization.

Why Are Current Identity Systems Fundamentally Broken?

Despite the urgency of the problem, most identity systems today are ill-equipped to handle it. They are often slow, expensive, and frustrating for legitimate users. Verification processes can take days, require repeated document uploads, and still result in random rejections. Meanwhile, attackers frequently find ways to bypass these systems entirely.

From a company’s perspective, the situation is equally bleak. Businesses often stitch together five to ten different vendors to cover ID verification, biometrics, authentication, and fraud detection. Engineers hard-code rules that quickly become outdated, while operations teams struggle to adapt to new threats. The result is a fragmented identity stack that is costly to maintain and difficult to scale.

The core issue is that these systems were not designed for an internet saturated with AI-driven fraud. They were built incrementally, on top of legacy assumptions, rather than reimagined for a world where perfect fakes are the norm.

How Does Didit Take a Fundamentally Different Approach?

Didit’s solution starts with a clean slate. Instead of wrapping or integrating legacy tools, the company built its entire identity stack from scratch. This includes ID verification, biometrics, liveness detection, and authentication, all unified into a single platform. By owning the full stack, Didit can optimize every step of the verification flow, down to individual milliseconds.

The result is an experience where real humans can verify themselves in seconds, while fraudulent attempts are blocked by default. The emphasis on UI and UX is not cosmetic; it is central to the product’s effectiveness. When verification is fast and intuitive, onboarding rates increase and friction decreases, benefiting both users and businesses.

Equally important is the unified view Didit provides. Instead of fragmented data spread across multiple tools, teams get a complete, connected picture of each user’s identity journey. This coherence is something most identity providers struggle to achieve precisely because they rely on stitched-together systems.

What Makes Didit’s Pricing Model Stand Out in the Identity Market?

One of Didit’s most disruptive choices is its pricing model. Traditional identity vendors often rely on long-term contracts, minimum commitments, and complex pricing structures that make costs unpredictable. Didit takes the opposite approach with simple, pay-per-use pricing.

There are no contracts, no minimums, and no hidden surprises. Companies pay only for what they use, at competitive rates made possible by Didit’s vertically integrated stack. This model aligns incentives on both sides: businesses can scale usage up or down freely, while Didit focuses on delivering consistent value rather than locking customers in.

The effect is notable. Companies that switch to Didit tend to switch once and stay. The absence of pricing friction mirrors the product experience itself—simple, fast, and transparent.

What Evidence Is There That Didit’s Model Works?

Didit’s traction provides strong validation of its approach. The platform verifies millions of humans every month and serves over 700 active B2B customers, with growth of approximately 20% month over month. The company has grown through a pure product-led growth motion so far, with outbound efforts now being layered on top.

Retention and revenue metrics are particularly striking. Didit reports over 300% net revenue retention by month six and around 90% paid customer retention at the same mark. These numbers suggest not only that customers are staying, but that they are expanding usage significantly as they integrate Didit deeper into their workflows.

Such performance indicates that Didit is not just solving a theoretical problem, but delivering tangible, ongoing value in real-world deployments.

How Is Didit Positioning Itself for Mid-Market and Enterprise Expansion?

Having proven product-market fit with small and mid-sized customers, Didit is now executing a deliberate expansion into the mid-market and enterprise segments. This shift requires more than just sales motion changes; it demands reliability, scalability, and compliance at a higher level.

Didit’s unified architecture positions it well for this transition. Because the platform was built end-to-end, extending it to larger organizations does not require re-architecting or bolting on additional components. The same speed, fraud prevention, and UX advantages that appeal to startups are equally compelling for enterprises facing increasingly sophisticated identity threats.

Why Could Identity Become a Trillion-Dollar Market?

The founders of Didit believe that identity will become one of the most important infrastructure layers of the AI internet. As soon as users can no longer trust what they see or hear online, proving who you are becomes non-negotiable. This applies not just to social media or marketplaces, but to payments, access control, digital services, and beyond.

In this vision, identity becomes frictionless and instant—one click, face-first—and works everywhere. A user’s Didit Identity could be reusable, private, and trusted by default across platforms and contexts. Over time, this could extend beyond private companies to governments, enabling secure digital services and even online democratic processes.

If identity becomes as fundamental as networking or payments infrastructure, the scale of the opportunity expands dramatically. The market does not grow incrementally; it multiplies.

What Future Is Didit Ultimately Building Toward?

Didit is not positioning itself as just another identity vendor. Its long-term ambition is to become the default identity layer of the internet—something users carry with them and companies trust implicitly. This vision requires relentless execution, technical excellence, and a deep understanding of how trust operates in digital systems.

The founders describe this future with confidence and urgency. As AI continues to blur the line between real and fake, identity becomes the anchor that keeps the internet usable. Didit’s bet is that by solving identity properly—fast, secure, and human-first—it can help define the next era of online interaction.

In a world where the internet is about to get very weird, Didit aims to make at least one thing clear: who is real.