WhiteBridge AI raises $3M for a people-search and digital identity verification platform
Vilnius-based WhiteBridge AI has raised $3M in a seed round led by FIRSTPICK VC, with other investors participating. The startup is building a people-search and digital identity verification platform: it collects public data, helps companies vet partners and suppliers, and lets individuals see what information about them is already online. The money will go toward new integrations, transparency and product development.
AI-processed from TNW; edited by Hamidun News
Vilnius-based WhiteBridge AI has raised $3M 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 clear context for businesses and the users themselves.
Where the money will go
FIRSTPICK VC led the round. First Degree, NGL.VC, Scalewolf.VC, BADideas.fund, Nectolabs, Plug and Play and a group of angel investors also took part. According to the company, the capital will go toward expanding integrations with new data sources, improving its verification and transparency infrastructure, and further developing the platform itself. In other words, WhiteBridge is betting not only on wider coverage but also on trust in its results, which is critical for a product like this.
For the startup, this is a notable step up from the previous round. In October 2024, WhiteBridge raised a $500K pre-seed, also led by FIRSTPICK. Scalewolf, First Degree and Nectolabs took part in that round as well. When some investors come back, it usually means the team has shown more than an idea over the past year and a half: it has shown progress on product, metrics and positioning. Here the amount has grown sixfold, and the scale of ambition with it.
How the product has changed
WhiteBridge was founded in 2024 by Tomas Martunas, Irmantas Moteiunas, Justinas Barauskas and Paulius Taraskevicius. The company originally focused on digital footprint audits and reputation monitoring: it aggregated, verified and organized publicly available information about people from dozens of online sources. That model solved a practical problem: showing a person what is already online about them, how it looks from the outside and where reputational risks may 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 plenty of information about a person online, but it is scattered across platforms, contradictory, and increasingly hard to verify quickly. Generative content sharpens the problem further, as it becomes harder to tell a real digital footprint from noisy or manipulative signals.
"We want to bring clarity and control to this chaos, so that people and companies can act with more confidence."
Use cases
WhiteBridge is aiming at scenarios where simply finding a social media profile or a few search links is not enough. The product is supposed to provide more verified and useful context before a meeting, a deal or a counterparty check. For B2B teams, it is an attempt to turn scattered public data into a working tool rather than a set of tabs someone opens by hand before a call. For individual users, it is also a way to better understand their own digital reputation.
- Preparing for meetings with clients and partners with a fuller profile of the person across the table
- 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
Notably, FIRSTPICK explained its investment not only by market size but also by the quality of the team. Fund partner Dmitry Sosunov specifically noted that investors were convinced by WhiteBridge's speed, practicality and ability to ship quickly. For European B2B AI, this is an important signal: in niches where a product has to grow, connect data sources and build trust at the same time, the ability to execute often matters more 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 does improve source transparency, verification quality and search usability, it has a chance to take a place between classic reputation management and a new generation of AI services for due diligence, people intelligence and preparing for business contacts. For the European B2B market, this is a workable and timely bet.
Key Questions Answered
Where the money will go?
FIRSTPICK VC led the round. First Degree, NGL.VC, Scalewolf.VC, BADideas.fund, Nectolabs, Plug and Play and a group of angel investors also took part. According to the company, the capital will go toward expanding integrations with new data sources, improving its verification and transparency infrastructure, and further developing the platform itself. In other words, WhiteBridge is betting not only on wider coverage but also on trust in its results, which is critical for a product like this.
How the product has changed?
WhiteBridge was founded in 2024 by Tomas Martunas, Irmantas Moteiunas, Justinas Barauskas and Paulius Taraskevicius. The company originally focused on digital footprint audits and reputation monitoring: it aggregated, verified and organized publicly available information about people from dozens of online sources. That model solved a practical problem: showing a person what is already online about them, how it looks from the outside and where reputational risks may arise.
What are the key details on Use cases?
WhiteBridge is aiming at scenarios where simply finding a social media profile or a few search links is not enough. The product is supposed to provide more verified and useful context before a meeting, a deal or a counterparty check. For B2B teams, it is an attempt to turn scattered public data into a working tool rather than a set of tabs someone opens by hand before a call. For individual users, it is also a way to better understand their own digital reputation.
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