Lithuanian WhiteBridge AI Receives EUR 2.6M to Turn Public Data into Trustworthy People Insights

• Vilnius-based WhiteBridge AI raised EUR 2.6M in its FIRSTPICK-led Seed round
• Its platform converts scattered public data into structured people intelligence reports
• The system addresses identity matching challenges across global data inconsistencies
• The company targets global leadership in AI-driven people search intelligence

This March, the Lithuanian AI-powered people intelligence platform Whitebridge AI closed its EUR 2.6M Seed round of investment. The round was led by the well-known Lithuanian VC fund FIRSTPICK (invested in Tingit, among others), joined by such renowned investors as BADideas.fund (invested in Spotwise, among others), First Degree Capital, NGL Ventures (invested in Axiology, among others), Necto Labs, and Plug and Play Tech Center.

From White Bridge Conversation to AI Startup Identity

WhiteBridge ‌began ‌in early 2024 with ‌four people and one clear moment. On Vilnius’ White Bridge, Tomas Martūnas (COO), and Irmantas Motiejūnas (CTO), talked through an idea that eventually stuck, and the name followed naturally from where it started. Mr Martūnas has more than 20 years of experience as an investor and entrepreneur, while Mr Motiejūnas has a vast background of architecture and security roles, with engineering experience spanning several years at Google.

With the technical base in place, the founders looked for two more senior hands in marketing and in product leadership. The search led to Justinas Barauskas (CMO) who was convinced by WhiteBridge AI’s quite strong initial numbers. Having already driven fast growth and reached seven-figure sales in a short timeframe, he moved quickly, running paid ad tests at night. To lead the product side, Paulius Taraškevičius (CEO) came on board as the fourth co-founder. He brings over six years of experience in data scraping and R&D management.

‘What sold us wasn’t just the market — it was the team. They’re quick, practical, and they ship. In a fast-moving AI space, that’s the advantage,’ FIRSTPICK’s managing partner Dmitrij Sosunov comments.

As the team worked, they noticed one pattern emerging repeatedly: a huge amount of information about people is already online, but it’s scattered, uneven, and increasingly hard to check. This pushed WhiteBridge AI toward the goal of creating the world’s top people search and research engine, adding clarity, trust, and structure to digital identity data.

Building a Fast-Moving Founding Team Around Data and Growth

‘To begin with, we put together a top-notch team, done. Then we shipped the product and saw early growth, done. After that, we showed that the market growth was real, done. We also took the temperature through fundraising, done. And we pinned down the long view, paired with a clear plan for brand identity, done. From here, it’s execution, staying sharp, moving fast, and keeping steady pressure on the targets we’ve already chosen,’ WhiteBridge AI’s head of growth Silvestras Jarmalavicius recollects.

As of today, WhiteBridge AI is a platform that aggregates publicly available data about individuals and turns it into structured ‘people intelligence’ reports using AI agents. It pulls from sources like social media, news, and public records to generate insights such as career history, online activity, and behavioral or reputation signals. It is designed primarily for use cases like recruiting, sales prospecting, background-style screening, compliance, and reputation analysis, helping users quickly verify and understand who someone is. Under the hood, it operates as a decentralized AI + data network system where multiple data providers feed information into AI agents that then compile and analyze it into reports and ‘digital identity’ profiles.

Turning Scattered Online Data into Structured Identity Intelligence

‘Most people don’t realise how much information about them is already circulating online, and even fewer understand how it can shape their personal and professional opportunities. With WhiteBridge, we’re here to bring clarity and control to that chaos. Our platform gives people and businesses a reliable way to understand and manage online identity signals – so they can act with confidence. WhiteBridge turns scattered public signals into clear, decision-ready insight, helping teams move from ‘trust me’ to ‘verify it’. The platform empowers better professional and personal relationships with actionable insights, while helping individuals stay in control of their digital footprint and online narrative,’ Mr Martūnas explains.

Essentially, WhiteBridge AI takes scattered public signals and turns them into intelligence one can trust, trace, keep current, and bring straight into day-to-day decisions. To do that, the team tracks provenance, verifies what’s been collected, assigns confidence, and resolves identities across sources, holding the compliance throughout.

Identity Matching Challenges

‘Challenges keep showing up in the product, in marketing, in how we communicate, in infrastructure, in reporting, and in the people side. It comes with building a company and consequently scaling it. If you’re chasing excellence, you turn up every day and work through the problems, one at a time. Someone once put it well: God and the Devil both live in the details,’ Mr Jarmalavicius remarks.

The regular challenges include:

• distinguishing between different individuals who share the same first and last name;
• matching profiles when photos vary significantly across different platforms;
• handling translated, transliterated, shortened, or Anglicized versions of names;
• resolving identity-matching issues involving users from CIS and Southeast Asian countries, where name variations are common;
• interpreting and connecting fragmented information from multiple online sources.
• accounting for subtle contextual clues and edge cases that can affect matching accuracy;
• maintaining high-quality, accurate results despite inconsistencies and ambiguities in available data.

Governance, Privacy, and Responsible Use of Public Data

Another instance is that aggregating sensitive public data into identity insights requires a line to be drawn between useful intelligence and privacy invasion, especially as regulations tighten. With this in mind, WhiteBridge AI brought in external counsel to review the team’s approach and provide feedback, and their draft legal opinion is that the platform complies with GDPR.

At the same time, the WhiteBridge AI team acknowledges the unevenness of the landscape. They specify how in the EU, the direction is toward making GDPR compliance clearer and more practical, while in the US, rules are still fragmented and can feel like a free-for-all.

‘The truth usually sits in the middle: clear standards matter, but so does day-to-day reality. Our focus stays the same: giving people straightforward tools for an AI-driven world. If a digital twin can be put together by almost anyone, people should have an easier way to protect themselves and take control of their digital identity,’ Mr Jarmalavicius states.

Guardrails and Compliance

Misuse is indeed the most straightforward concern with any people-research engine that may enable stalking or profiling someone without permission. Another side to this coin is that the same capability to which people point as ‘dangerous’ also lets a sales rep skip three hours of manual prospect research or generally helps someone get a better read on who they’re actually dealing with before they decide to trust, meet, date, or do business. Overall, this technology gives an individual a way to see and manage what the internet is already saying about them.

‘This isn’t a brand-new problem category. People have long looked others up on Google, scanned LinkedIn, pulled court records, and stitched together whatever’s publicly visible. The difference here is speed and presentation: we’ve made that process quicker, more organized, and clearer about where information comes from. If anything, that can cut down on harm,’ Mr Jarmalavicius points out.

He assures that WhiteBridge AI’s reports rely only on public sources, without surfacing private records, storing or passing along people’s data. Specific guardrails for higher-risk behavior:

• Sensitive features are restricted to verified business accounts;
• During onboarding, users have to state why they’re using the product;
• Our Terms of Service flat-out ban stalking and doxxing
• Naturally, GDPR requirements were built in from day one.

‘The people who are most exposed to a product like this don’t become safer just because we don’t exist. They’re safer when the product is built and run responsibly, because if we don’t do it carefully, someone else will, and they’ll likely do it with fewer limits,’ Mr Jarmalavicius warns.

Scaling Ambitions for the Next Growth Phase

This recent EUR 2.6M funding is meant to support WhiteBridge AI’s next phase of growth by broadening the range of data sources integrated into its platform, strengthening the accuracy, verification, and reliability of collected information, and accelerating product development. The investment should also help the company enhance its research capabilities and deliver more comprehensive trustworthy people intelligence insights at scale.

‘For us, success means happy clients. Over the next year, we expect our client count to move beyond tens of thousands and into the hundreds of thousands. A Series A round and a new group of investors ready to back the next phase will show whether we’re building a business that can last as we scale faster. Long-term, WhiteBridge AI sets ‌out ‌to ‌become the world’s top people search and research engine, and also serve as a private companion for individuals, helping them stay on top of their digital story and the connections that matter,’ Mr Jarmalavicius tellsITKeyMedia in conclusion.

As the volume of publicly available information continues to grow, tools that can organize, verify, and contextualize digital identity data are becoming increasingly valuable. WhiteBridge AI is positioning itself at the intersection of AI, trust, and online reputation, aiming to help both businesses and individuals make better-informed decisions. If it can continue balancing innovation with privacy, transparency, and responsible use, the company is poised to play a meaningful role in shaping how people navigate an increasingly data-driven world.