Youtility Decision Science closes second seed round on April 23, 2026, backed by Silver Falcon Capital, Fyllo, and National Media to build a behavioral AI platform that analyzes why consumers make decisions - not just who they are.

The funding

Youtility Decision Science announced on April 23, 2026 the second close of its seed round, bringing total funding to $4.2 million. The round drew backing from a consortium of strategic investors: Silver Falcon Capital, Fyllo, and National Media, alongside additional industry investors and family offices. The company is headquartered in both Richmond, Virginia and London.

The funds are earmarked for three purposes: expanding engineering and data science teams, supporting additional proof-of-concept deployments with consumer and retail organizations in the United States and Europe, and further scaling the decision science platform itself. A full close is expected later in 2026, ahead of a planned Series A as deployments scale.

This is not a conventional ad tech funding round. Youtility sits at the intersection of behavioral science, data APIs, and marketing infrastructure - a category that has been attracting growing investment as marketers face sustained pressure to understand audiences more precisely. PPC Land has tracked the gap between audience data and genuine audience understanding across multiple reports in 2025 and into 2026.

What Youtility actually builds

The platform is delivered via business-to-business APIs. Clients integrate into the Youtility platform, and its outputs connect into existing engagement systems without requiring organizations to rebuild their infrastructure. According to the announcement, the company analyzes real-time behavioral signals from customer interactions to help businesses understand and better predict customer decisions.

The technical distinction the company draws is between "Think-a-Likes" and "Look-a-Likes." Traditional audience targeting identifies consumers who share demographic characteristics - the same age range, income bracket, or geographic area. Youtility's approach instead models behavioral states and emotional drivers in the moment, identifying consumers who are in similar decision-making states regardless of whether their demographic profiles match.

The platform dynamically adapts engagement in real time. Rather than placing a consumer into a static segment defined weeks or months earlier, the system reads behavioral signals as they occur and recommends the next best action across marketing, sales, and customer engagement channels. According to Tyler Randolph Boyd, CEO of Youtility, "Decision science changes that by modeling the behavioral signals and states of mind as they happen. We've built a platform that can be deployed quickly, operate in real time, and deliver individualized insights without requiring massive infrastructure."

That architectural claim matters. One persistent challenge in behavioral AI is the infrastructure cost of operating at scale. Boyd's emphasis on deployment speed and the absence of a requirement for "massive infrastructure" positions the platform as accessible to organizations that cannot build custom data science capabilities in-house.

The problem it is solving

Demographic targeting has been the default framework for audience planning in digital advertising for decades. Age, income, gender, and location shaped media buying strategies across television, display, programmatic, and search channels. The limitation is not that demographics are irrelevant - it is that they explain who a consumer is, not why they act. Two consumers with identical demographic profiles can be in entirely different emotional states when a brand message reaches them. One may be actively considering a purchase; the other may not be open to it at all.

According to Boyd, "Companies today rely heavily on demographic assumptions, but simply knowing who those customers are doesn't explain why they make the choices they do."

A March 2026 Brandwatch report surveying 1,028 marketers found that only 25% say they understand their audiences very well. Among the five most commonly cited challenges, predicting future needs or behaviors ranked first at 60%, while understanding the "why" behind audience decisions ranked fourth at 40%. These are precisely the problems Youtility's decision science platform is designed to address. The platform sits at the intersection of a documented industry pain point and an emerging technical capability.

The shift Youtility describes - from reactive marketing to real-time decisioning - reflects a broader transition that the marketing technology sector has been working toward for several years. Wunderkind's 2026 Performance Marketing guide, published in March 2026, argued that AI decisioning has become one of the two structural capabilities separating brands generating measurable incremental revenue from those still optimizing for outdated attribution models. The framing is similar: static rules and demographic assumptions are giving way to real-time signals.

Early deployments and financial results

Youtility currently works with Santander UK, Virgin Money, and Monese. The financial services focus is notable. Banks and credit institutions interact with consumers at high-stakes decision moments - loan applications, mortgage inquiries, credit card offers - where understanding the emotional state of the customer is directly relevant to conversion and to the appropriateness of the offer.

According to the announcement, a campaign with a leading UK bank produced a 17% increase in sales when using Youtility's behavioral modeling instead of traditional demographic targeting. The company has also signed multiple proof-of-concept deployments with U.S. organizations, reflecting growing demand as it expands its presence across the Atlantic.

Multiple strategic high-net-worth investors and family offices also participated in the round. Named additional investors include Alex Castellanos, founder and chairman of Purple Strategies, and Ashwin Navin, CEO of Samba.

What the investors said

The consortium backing Youtility includes Fyllo, a data marketplace company that has itself been active in audience targeting infrastructure. Fyllo previously acquired Semasio to expand its data and targeting capabilities. Travis Moyer, Partner at Fyllo, said in the announcement: "Understanding customer behavior at the decision level is becoming essential for modern marketing and engagement strategies. Youtility's decision science platform introduces a powerful, new layer of behavioral intelligence, and we're excited to support the team as they bring this technology to market."

Robin Roberts, Co-founder and President at National Media, said: "As organizations increasingly look for better ways to understand and engage customers, technologies that surface real behavioral signals are becoming incredibly valuable. Youtility's decision science approach brings a new level of insight, illuminating why consumers actually make purchasing choices."

Brian France, Founder and Brand Visionary at Silver Falcon Capital, said: "Youtility is developing a compelling, new approach to behavioral decision science that we believe will resonate with organizations seeking deeper insight into customer behavior."

The API-first architecture

Youtility's delivery mechanism is worth examining in detail. Business-to-business APIs mean clients do not install a new platform - they call Youtility's endpoints from within their existing systems. The behavioral intelligence is then returned as outputs that can trigger actions in whatever engagement stack the client already runs. This approach reduces adoption friction significantly compared to platforms that require data migration or re-architecture.

The real-time nature of the signals is central to the value proposition. Many marketing platforms operate on audience segments built from historical behavioral data - cookie-based browsing signals, purchase histories, engagement logs. These segments are often days or weeks old by the time a campaign activates them. Youtility's claim is that it reads behavioral states as they are happening, not as they were recorded. That distinction matters in high-intent moments where consumer readiness can shift within minutes.

Taboola's launch of Predictive Audiences in June 2025 demonstrated the commercial appetite for AI-driven real-time targeting, reporting a 300% week-on-week spending increase in the capability since its limited availability launch in February 2025. Youtility operates at a different layer - behavioral state rather than conversion propensity - but the market direction is consistent.

Context for marketing professionals

The advertising and marketing technology industry is navigating a structural shift in how audiences are understood and engaged. Third-party cookie deprecation has accelerated interest in first-party data. Privacy regulation across Europe and the United States has narrowed the range of permissible behavioral data collection. At the same time, AI capabilities have expanded rapidly, making it technically feasible to process behavioral signals at speeds and scales that were not commercially viable a few years ago.

Youtility's approach adds a third layer to the conversation: not just first-party data and AI processing, but decision science - the application of behavioral psychology frameworks to understand what state of mind a consumer is in at the moment of contact. Whether that framing translates into measurable performance improvements at scale remains to be demonstrated beyond the initial deployments. The 17% sales lift claimed in the UK bank campaign is a meaningful result, but a single deployment in one vertical under proof-of-concept conditions is not yet a generalizable claim.

What is clear is that the demand signal for this type of capability is real. IAB Europe's September 2025 report found that 85% of European digital advertising companies already deploy AI-based tools for marketing purposes, with targeting and content generation leading adoption. The gap the industry is working to close is not in AI adoption itself but in the quality of behavioral insight that AI models are able to act on.

Culture Hive's April 22, 2026 launch of its Cultural Relevance Score addressed a related but distinct problem: whether creative and media placements culturally align with the audience seeing them. Youtility addresses the question one step earlier in the funnel - whether the consumer is even in a receptive state to engage. Together, these emerging platforms reflect an industry pressure to move beyond demographic proxies toward deeper behavioral and psychological understanding.

The Spend, which covers investment and business developments in the advertising technology sector, tracks this category as one of the areas where infrastructure spending is shifting from platforms to intelligence layers. The move from reactive marketing to real-time decisioning represents a meaningful change in where value is created in a marketing stack - less in the channel and more in the moment-by-moment adaptation of what is communicated and to whom.

What comes next

Youtility is targeting continued expansion of the seed round before a full close later in 2026. The Series A is described as a planned next step as deployments scale. The company's expansion priorities span both sides of the Atlantic, with consumer and retail organizations in the United States and Europe identified as primary targets for additional proof-of-concept deployments.

The engineering and data science team expansions funded by this round will determine the pace at which the platform can scale beyond financial services into other sectors. The current partner base - Santander UK, Virgin Money, Monese - is entirely in financial services. Consumer and retail deployment will test whether behavioral decision science generalizes across purchase categories with different decision timescales, emotional stakes, and data environments than those in banking.

Timeline

Summary

Who: Youtility Decision Science, a US- and UK-based data science company founded in Richmond, Virginia and London, backed by Silver Falcon Capital, Fyllo, and National Media, with additional investment from Alex Castellanos, Ashwin Navin, and other strategic investors.

What: The second close of a seed funding round, bringing total investment to $4.2 million, to accelerate development of a behavioral AI platform that analyzes real-time decision signals to identify the emotional drivers behind consumer choices and recommend next best actions via business-to-business APIs.

When: The announcement was made on April 23, 2026. A full close is targeted later in 2026, ahead of a planned Series A.

Where: The company operates in both the United States and the United Kingdom. Current partners include Santander UK, Virgin Money, and Monese. Proof-of-concept deployments are expanding to consumer and retail organizations across the US and Europe.

Why: The investment reflects growing recognition that demographic targeting alone does not explain consumer decision-making. Marketers face sustained pressure to understand not just who their audiences are but why they act. Youtility's behavioral decision science approach addresses this gap by modeling emotional states and behavioral signals in real time, enabling a shift from static segmentation to individualized engagement at the moment of decision.

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