WhiteBridge AI raised $3 million for a people search and digital identity verification platform

WhiteBridge AI from Vilnius has raised $3 million in a seed round to develop its people-search and digital identity platform. The company is building a service that collects public signals about a person from various sources, verifies them, and turns them into actionable context for businesses and users themselves.

Where the money will go

The round was led by FIRSTPICK VC. Also participating were First Degree, NGL.VC, Scalewolf.VC, BADideas.fund, Nectolabs, Plug and Play, and a group of angel investors. According to the company, the raised capital will go toward expanding integrations with new data sources, improving verification and transparency infrastructure, and further developing the platform itself. In other words, WhiteBridge is betting not only on reach growth but also on trust in results — which is critical for this type of product.

This is a significant step forward for the startup compared to its previous round. In October 2024, WhiteBridge raised $500K in a pre-seed round, with FIRSTPICK also serving as lead investor at the time. That round also included Scalewolf, First Degree, and Nectolabs. The repeat participation of some investors typically signals that the team has demonstrated over the past year and a half not just an idea, but real progress on the product, metrics, and positioning. In this case, the amount grew sixfold — and so did the scale of ambitions.

How the product has evolved

WhiteBridge was founded in 2024 by Tomas Martunas, Irmantas Moteijunas, Justinas Barauskas, and Paulius Tarashkyavicius. Initially, the company focused on digital footprint auditing and reputation monitoring: aggregating, verifying, and organizing publicly available information about people from dozens of online sources. This model addressed a practical need — showing a person exactly what is already out there about them online, how it looks from the outside, and where reputational risks might arise.

Now the startup describes itself more broadly: as an engine for searching and verifying data on people, partners, suppliers, and contacts. The logic is clear: there is a lot of information about a person on the internet, but it is scattered across different platforms, contradicts itself, and is increasingly hard to verify quickly. Against the backdrop of generative content, the problem becomes even more acute — distinguishing a real digital footprint from noisy or manipulative signals is growing ever harder.

"We want to bring clarity and control to this chaos so that people and

companies can act with greater confidence."

Use cases

WhiteBridge is targeting scenarios where simply finding a social media profile or spotting a couple of search links is not enough. The product is meant to provide more verified and useful context before a meeting, a deal, or a counterparty check.

For B2B teams, this is an attempt to turn scattered public data into a working tool, rather than a set of tabs someone manually opens before a call. For users themselves, it is also a way to better understand their own digital reputation.

• Preparing for meetings with clients and partners with a more complete profile of the counterpart
• Vetting potential suppliers and partners before a deal
• Checking third parties where speed and reliability matter
• Monitoring what information about a person is already circulating online

It is telling that FIRSTPICK explained the investment not only by market size but also by team quality. Fund partner Dmitry Sosunov specifically noted that investors were convinced by WhiteBridge's speed, practicality, and ability to ship things quickly. For European B2B AI, this is an important signal: in niches where a product must simultaneously grow, connect data, and build trust, execution ability is often more important than loud positioning and a polished pitch deck.

What this means

WhiteBridge has entered a clear and growing segment: tools that help verify digital identity and work with public data without manual routine. If the team genuinely improves source transparency, verification quality, and search convenience, it has a chance to occupy the space between classic reputation management and the new generation of AI services for due diligence, people intelligence, and business contact preparation. For the European B2B market, this is a perfectly viable and timely bet.