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UIN raises $2M to scale AI engagement platform across LATAM

Argentine fintech UIN closed a $2M seed round led by Ewa Capital to expand BehaviorOS, its AI-driven engagement platform, with Mexico as the primary growth target.

GENTY News Desk··6 min read
Argentine fintech startup UIN team working on BehaviorOS AI engagement platform in Buenos Aires office
Editorial stock image; it does not depict the reported event. · Photo by Nestor Barbitta on Unsplash

What matters

  • UIN closed a $2M seed round led by Ewa Capital to scale BehaviorOS, its AI-driven engagement platform, across Argentina, Peru, Ecuador, and Mexico.
  • The 12-person Buenos Aires team plans to multiply its $1M run-rate tenfold within 12 months, with Mexico identified as the primary expansion market.
  • BehaviorOS serves 10 clients, analyzes over 300 million transactions monthly, and reaches 80 million end-users indirectly, delivering an average 18% improvement in user recurrence.
  • Founded by ex-n1u executives, UIN targets banks, fintechs, wallets, and retailers seeking to convert transactions into recurring customer behavior using predictive AI.

Argentine fintech startup UIN closed a $2 million seed round led by Ewa Capital to scale BehaviorOS, its AI-driven behavioral engagement platform, across Latin America. The round included Driven VC, Brazilian Venture Capital, ADN, GAIN, New Ventures, and angel investors including AngelHub, Ferter, LAN Accelerator, and entrepreneur Santiago Siri, arriving less than 12 months after the company's February 2025 founding.

UIN was founded by Facundo Corsi and Manuel Heredia, both alumni of n1u, the gaming-focused digital wallet that reached approximately 2 million users in Argentina before its acquisition. Corsi previously founded Optego, a data science firm whose technology was acquired by a consumer goods company. At n1u, the founders learned a critical lesson: acquiring a user is only the beginning, and the true challenge is converting them into a recurring customer.()

UIN closes $2M seed round to scale AI-driven engagement across LATAM

BehaviorOS integrates via API into applications operated by banks, fintechs, digital wallets, retailers, and telecommunications providers. The platform analyzes each user's transactional behavior and deploys personalized missions, challenges, streaks, and AI-powered incentives tailored to objectives defined by each client.

According to data provided by UIN, the platform currently serves 10 clients across Argentina, Peru, Ecuador, and Mexico, analyzes more than 300 million transactions, and generates over 10 million behavioral triggers monthly. Through its clients, UIN reaches more than 80 million end-users indirectly. Implementation of BehaviorOS achieves an average 18% improvement in usage recurrence and a 10% reduction in churn.

The startup also developed EngagementScore, a predictive model that detects early signals of user abandonment, enabling intervention before the customer is lost. UIN's revenue model combines a monthly license fee with variable fees per trigger tied to concrete results such as increased card payments, QR code transactions, or microcredit origination.

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The 12-person team operates from Buenos Aires and plans to use the capital to strengthen commercial and technology teams and deepen presence in existing markets. Argentina and Peru account for approximately 60% of the current client portfolio. The company targets a tenfold increase from its current $1 million run-rate within 12 months, supported by new client acquisition and expansion within existing accounts.

Why UIN's Mexico expansion signals urgent fintech hiring demand in LATAM

Mexico has been identified as UIN's primary growth focus for the next 12 months. This strategic prioritization reflects broader structural shifts in Latin America's fintech ecosystem with direct implications for talent acquisition and workforce planning.

The decision to concentrate expansion efforts on Mexico aligns with regional funding trends. According to PitchBook analysis, fintech funding has returned to pre-pandemic levels, with significant exits occurring recently.() The fintech sector has demonstrated particular appetite for AI-driven solutions, which tend to command larger ticket sizes and higher valuations in later-stage rounds.()

For employers scaling tech teams across Mexico and LATAM, UIN's expansion plan signals accelerating demand for specialized roles. The company will need commercial talent capable of navigating complex enterprise sales cycles with banks and fintechs, as well as engineering and data science professionals who can refine machine learning models processing hundreds of millions of transactions monthly. Product managers with domain expertise in behavioral economics and financial services UX will be critical as the platform scales across diverse regulatory environments and user segments.

Mexico's fintech market presents both opportunity and competition for talent. The country hosts a mature ecosystem of digital banks, payment processors, and lending platforms, many of which are simultaneously scaling operations and competing for the same pool of senior technical and commercial professionals. Companies expanding into Mexico must build competitive compensation structures, offer remote flexibility where feasible, and articulate clear career progression paths to attract and retain top performers.

The challenge intensifies with UIN's ambition to multiply its run-rate by ten within 12 months.() Achieving that target requires not only hiring velocity but also operational discipline to onboard, integrate, and enable new team members rapidly without sacrificing product quality or client service. For fintech and AI talent recruitment specialists, this growth trajectory represents a case study in balancing speed with strategic hiring.

Talent acquisition priorities as UIN scales from 12 to enterprise-grade teams

UIN's current 12-person team must expand significantly to support a tenfold revenue increase and multi-country operations. The hiring roadmap will likely prioritize several functional areas.

On the commercial side, the company needs account executives and customer success managers with proven experience selling B2B SaaS solutions to financial institutions. These roles require sales acumen alongside the ability to navigate procurement processes, regulatory considerations, and technical integration requirements unique to banking and fintech clients. Given that Argentina and Peru represent 60% of the current client base, bilingual talent fluent in Spanish and Portuguese will be essential for Brazilian market entry and for serving clients operating across borders.

Engineering and data science represent the second critical hiring vertical. BehaviorOS processes over 300 million transactions and generates more than 10 million triggers monthly, requiring robust infrastructure, real-time data pipelines, and machine learning models that personalize interventions at scale. The company needs backend engineers experienced in high-throughput systems, data engineers capable of building and maintaining ETL pipelines, and machine learning engineers who can iterate on predictive models like EngagementScore. Security and compliance expertise will be non-negotiable as the platform handles sensitive financial data across multiple jurisdictions.

Product and design roles are equally important. As UIN expands into retailers and telecoms alongside banks and fintechs, the platform must adapt to different use cases, user behaviors, and business objectives. Product managers with experience in personalization, gamification, and behavioral design will translate client needs into product features. UX researchers and designers will ensure that missions, challenges, and incentives feel native to each client's application rather than bolted-on.

For companies pursuing similar growth trajectories in Argentina, UIN's talent strategy offers several lessons. Early-stage teams must be built with scalability in mind: generalists who can wear multiple hats initially, but with the potential to specialize as the organization matures. Remote and distributed hiring models will be essential to access talent across LATAM's fragmented markets, particularly for senior roles where supply is constrained. Employer branding matters significantly. UIN's origin story, founders who built and exited a consumer fintech, then pivoted to B2B infrastructure, provides a compelling recruitment narrative that attracts mission-driven talent seeking to work on hard problems with experienced operators.

Compensation requires careful calibration. Seed-stage startups in Argentina, Peru, and Mexico must compete not only with local peers but also with remote-first companies offering US-dollar salaries. Equity packages, performance bonuses tied to company milestones, and transparent career frameworks can help level the playing field. UIN's revenue model, combining recurring license fees with performance-based trigger fees, may enable variable compensation structures that align employee incentives with client success.

Organizational design will be tested as the team grows. Moving from 12 employees and scaling with this funding round requires deliberate investment in management infrastructure, internal communication systems, and cultural cohesion.() Founders must decide when to hire their first VP-level executives, how to structure reporting lines across countries, and how to maintain decision-making speed as layers are added.

UIN's $2 million seed round and aggressive expansion plan underscore a broader reality for LATAM fintech and AI startups: capital is available for companies demonstrating product-market fit, but execution depends on assembling and enabling high-performing teams quickly. For employers and talent leaders, the UIN case highlights the urgency of proactive workforce planning, competitive talent strategies, and operational readiness to scale.

Sources

GENTY News Desk independently summarizes and analyzes developments relevant to employers and professionals in Latin America. Promotional GENTY modules are visually separated from editorial content.

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