< Back Carolina Veas Mufdi Abogada Experta en Regulación Tecnológica e IA Carolina Veas es abogada experta en regulación tecnológica y gobernanza de inteligencia artificial, con más de 15 años de experiencia asesorando en los estudios jurídicos internacionales más relevantes en Chile, con foco en clientes de Latinoamérica y Europa. Su trayectoria comenzó en libre competencia, especialmente en mercados digitales, y luego se consolidó en la regulación de criptoactivos, donde lideró la apertura de las primeras cuentas bancarias para intermediarios cripto en Chile. En los últimos tres años ha concentrado su práctica en IA responsable, diseñando marcos de gobernanza, gestión de riesgos y cumplimiento alineados con estándares internacionales. Es profesora de inteligencia artificial y regulación digital, expositora en foros internacionales y cuenta con un LL.M. en Regulation por University College London (UCL). Conéctate con más líderes o explora el Corredor de IA de las Américas: https://www.racefor.ai/aicorridor

< Back Sonia Castro Economist and PhD Candidate in Public Policy and Deep Tech Sonia Castro is an economist, data analytics specialist, and PhD candidate in Public Policy and Deep Tech at Universidad de Barcelona. Her career integrates artificial intelligence, technology governance, and macroeconomic modeling applied to the public sector and FinTech. She has led advanced analytics projects in ministries, high-complexity hospitals, and multilateral organizations across Latin America, including initiatives in intelligent auditing, clinical interoperability, and economic valuation of data. She is the author of scientific publications on AI in public policy and co-author of the books Algoritmos para la administración pública and Metanoia . She is currently developing CEREBRO, an AI-driven macroeconomic simulation model aimed at strengthening institutional resilience against emerging technological risks, including quantum cybersecurity. Her work bridges scientific evidence, social impact, and responsible digital transformation. Connect with the leaders or explore the AI Corridor of the Americas: https://www.racefor.ai/aicorridor prensa@genia.ai

GENIA Américas lidera la innovación industrial impulsada por inteligencia artificial y la transformación digital en todo el Hemisferio Occidental, dando forma a un futuro más inteligente y sostenible para industrias y comunidades por igual. Nacimos transformando genia Americas Inteligencia Redefinida IA a medida para la nueva economía inteligente en todo el hemisferio — impulsando el crecimiento, fortaleciendo las industrias e innovando éticamente con una estrategia regional de precisión. Acelera el impacto transfronterizo con conexiones impulsadas por IA e inteligencia específica para cada región. Aprovecha acceso incomparable a activos regionales de última generación y asesoría experta de primer nivel. Potencia la toma de decisiones con análisis potentes y en tiempo real impulsados por IA. Optimiza la eficiencia operativa para aumentar la productividad y reducir costos drásticamente. Impulsa la innovación con una plataforma colaborativa de IA preparada para el futuro — diseñada para escalar y adaptarse sin interrupciones. Solicita orientación experta ¿Mil millones de personas: impulsando el futuro de la IA? Mentes audaces. Manos firmes. Aquí se construye el futuro de los negocios en el Hemisferio Occidental. ¿Quieres liderar donde el mundo está mirando? Ojos humanos leerán tu mensaje. Solo si te has preparado para dejar atrás el viejo mundo y seguir adelante. Ingresa

< Back Renée Cummings AI Governance, Risk & Justice Futurist Professor Renée Cummings is a globally recognized intelligence innovator, AI governance leader, criminologist, and futurist working at the intersection of artificial intelligence, risk, justice, and public trust. She serves as a Professor of Practice at the University of Virginia’s School of Data Science, where she teaches data ethics and designs governance frameworks grounded in real-world risk, institutional accountability, and societal impact. An internationally sought-after keynote speaker and advisor, Professor Cummings counsels executives, boards, policymakers, and global institutions on AI and AGI governance, foresight, and crisis leadership. Her work examines how emerging technologies reshape power, amplify risk, and influence high-stakes decision-making across public and private sectors. She is widely known for translating complex AI systems into decision-grade intelligence, particularly during moments of escalation, failure, or harm. A leading voice in trauma-informed, justice-centered AI governance, Professor Cummings contributes to global policy discourse through the World Economic Forum and as a Nonresident Senior Fellow at Brookings. She is also a trusted media analyst, helping global audiences navigate AI risk, algorithmic harm, and technological uncertainty with conviction and authority. Connect with more leaders or explore the AI Corridor of the Americas: https://www.racefor.ai/aicorridor prensa@genia.ai

Impulsado por Glápagos, el Corredor de IA une a gobiernos e industrias para ofrecer una inteligencia artificial escalable y ética en toda América. Impulsado por Glápagos, el Corredor de IA une a gobiernos e industrias para ofrecer una inteligencia artificial escalable y ética en toda América. Únete a la revolución de la IA Corredor de IA de las Américas: impulsando la innovación inclusiva sin fronteras Transformando las economías regionales mediante la colaboración ética impulsada por IA, liderada por Genia Americas. La Visión: Un Hemisferio Unido por la IA El Corredor de IA de las Américas es una iniciativa audaz para conectar naciones, industrias y comunidades mediante soluciones de IA de vanguardia. Al fomentar la colaboración, empoderamos a startups, empresas y gobiernos para enfrentar desafíos regionales, aumentar la competitividad y liderar globalmente en innovación ética de IA. Impacto El Corredor de IA de las Américas es más que una iniciativa tecnológica. Es un movimiento. Esta audaz iniciativa derriba barreras, sustituyendo esfuerzos aislados por un ecosistema vibrante e interconectado que acelera el progreso y asegura que la IA beneficie a todos, no solo a unos pocos. IA Ética: Priorizando la privacidad, la inclusión y la transparencia. Impulso Económico: Fomentando el crecimiento mediante el intercambio de conocimientos impulsado por IA. Liderazgo Global: Posicionando a las Américas a la vanguardia de la innovación en IA. Sostenibilidad: Apoyando la resiliencia climática con soluciones de tecnología profunda. Glápagos: El Motor de la Innovación En el corazón del Corredor se encuentra Glápagos , una plataforma de IA escalable diseñada para las diversas industrias de las Américas. Desde startups hasta multinacionales, Glápagos ofrece automatización, análisis y capacitación con cumplimiento regional. Por qué Glápagos destaca IA Adaptada a la Industria: Soluciones para manufactura, logística, atención al cliente y más. Integración Perfecta: Código abierto, compatible con sistemas existentes. Impacto Escalable: Desde pequeñas empresas hasta corporaciones globales. Desarrollo de Habilidades: Programas de capacitación para potenciar el talento local. Seguro y Cumplido: Análisis alineados con las normativas regionales. Transformando las Américas El Corredor de IA genera un impacto medible, fomentando centros de innovación, mejorando la competitividad y promoviendo el desarrollo sostenible en todo el hemisferio. Beneficios clave Centros de Innovación: Acelerando startups y empresas mediante la colaboración. Ventaja Competitiva: Atrayendo inversión y talento para liderar a nivel global. Crecimiento Sostenible: Soluciones de tecnología profunda alineadas con DevOps y objetivos climáticos. IA Inclusiva: Soluciones transparentes y éticas, adaptadas a las necesidades locales. Únete a la revolución de la IA Email admin@genia.ai Follow

Explore intelligent AI systems built for the Americas—scalable, compliant, and designed to optimize operations, decision-making, and regional innovation.

Explore real-world AI use cases across industries with RaceFor.AI, from intelligent systems and automation to AI strategy, compliance, and regional deployment. AI ROI Playbook for the Americas SME Use Cases Across Five Industries, Built on Hemispheric Infrastructure A Report Prepared for Strategic Partners and Collaborating Organizations • 2026 1. Executive Summary GENIA Americas was not built to add another AI model to a crowded market. It was built to close a gap no global vendor has been willing to close: an AI infrastructure that is compliant, local, and monetizable inside the regulatory, linguistic, and market realities of the Western Hemisphere. One that delivers measurable public benefit through trusted innovation, inclusive access, and responsible deployment beyond political boundaries. Today that infrastructure is operating. RaceFor.AI, our strategy and deployment network, is active across and built for the diverse markets of the Western Hemisphere, regions that share business cultures, economic interests, and a commitment to responsible innovation, connecting policymakers, investors, and industry leaders behind one mission. Glápagos, our AI DevOps and orchestration platform, is the technology backbone of that network, already deployed inside organizations across North, Central, and South America. Together, coordinated by GENIA Americas, they form the AI Corridor of the Americas, our answer to a question the rest of the industry has not asked: what does AI look like when it is built for this hemisphere instead of imported into it? Our vision is to advance the AI Corridor of the Americas toward a connected, trusted, and scalable AI ecosystem that enables regional innovation, strengthens digital capabilities, and creates lasting economic and public value. This report exists to make one point concrete for our stakeholders: our value proposition is return on investment, not model access. Every industry use case that follows is built around the same discipline that defines Glápagos in the field, identify one costly bottleneck, prove AI impact quickly, then scale, rather than the generic "deploy a model and hope it monetizes" approach that has left so much enterprise AI spending unaccounted for. The five industries selected here, manufacturing, financial services, agribusiness, retail and logistics, and public and professional services, represent the core of the small and mid-sized enterprise (SME) segment across our footprint. They are the organizations for whom compliance mismatch, poor regional model performance, and the absence of cross-border infrastructure are not abstractions. They are the reason AI pilots stall. GENIA Americas exists to remove that friction and convert it into measurable, defensible ROI. 2. The Foundation We Built The AI Corridor of the Americas rests on three components that, on their own, most vendors cannot combine. Together, under GENIA Americas, they are our structural advantage. RaceFor.AI: The Network: RaceFor.AI is the strategy and deployment network of the hemisphere, connecting policymakers, investors, and industry leaders across the Americas. It is built to scale across the diverse nations of the Western Hemisphere, each bringing unique strengths, capabilities, resources, and AI-driven opportunities to a shared regional ecosystem. It is where regional AI strategy is defined and where organizations claim their position in the Corridor before they ever touch the platform. Glápagos/The Platform: Glápagos is the AI DevOps and data orchestration platform purpose-built for multi-jurisdiction AI deployment. It transforms strategy into operational reality through predictive machine learning, scalable data infrastructure, and collaboration capabilities that connect teams across organizations and borders. Unlike global platforms designed for broad markets, Glápagos is engineered for the regulatory environments, languages, industries, and operational realities of the Americas. AI Corridor of the Americas: The AI Corridor of the Americas is the integrated ecosystem connecting RaceFor.AI, Glápagos, and GENIA Americas into a coordinated pathway for AI strategy, deployment, and regional collaboration. It is designed to enable nations, organizations, and industries across the Western Hemisphere to move from fragmented AI adoption toward a connected infrastructure built around shared capabilities, trusted partnerships, and practical deployment. The Corridor creates the foundation for cross-border innovation by aligning policy, investment, technology, talent, and industry needs into a regional AI network built for the realities of the Americas. GENIA Americas/The Institution: GENIA Americas is the connective tissue that keeps strategy, technology, compliance, and talent moving together instead of fragmenting, as AI initiatives so often do when a region is treated as an afterthought rather than the starting point. GENIA's standing extends beyond the private sector: in 2023, GENIA formally engaged the U.S. Congress on House Resolution 649 (118th Congress) & H.Res. 836 (119th Congress), a proposal calling on the United States to support a regional artificial intelligence strategy across the Americas. The resolution remained pending at the close of that Congress, and its core direction continues to inform the regional AI policy conversation we operate within today. Recognition That Validates the Model Mexico: featured in El Heraldo de México for our commitment to collaborative AI and regional cooperation across Latin America. Colombia: Glápagos covered by DPL News as a platform enhancing the value of Latin American industries through digital transformation. United States: GENIA Americas was interviewed for an Atlantic and Google sponsored feature examining how governments worldwide are integrating AI into public services. 3. Why This Is Not Generic AI Deployment Most enterprise AI spending across the hemisphere is failing to convert into monetizable outcomes for a structural reason, it is being deployed against the wrong assumptions. GENIA Americas built the Corridor around the three specific failure points we see most often in the field. The Three Failure Points We Solve Compliance mismatch: frameworks designed for U.S. regulatory environments do not transfer cleanly across the region, and implementation stalls or exposes the organization to legal risk. Poor regional performance: models trained on foreign datasets underperform on regional language, cultural, and economic data. Results look strong in a demo and fail in the field. No cross-border infrastructure: scaling across jurisdictions has meant starting from zero in every new market, with no shared infrastructure for the hemisphere until the Corridor existed. Our ROI Discipline, Not Deployment for Its Own Sake Glápagos does not begin with a platform rollout. It begins with a pilot: identify one costly bottleneck inside the organization, prove measurable AI impact in days, and only then scale. That sequencing is what turns AI investment into AI return, and it represents a fundamentally different approach from the “deploy the model everywhere and measure later” pattern that has weakened confidence in enterprise AI across the region. We are not built around political narratives, speculative promises, or AI rhetoric designed to create urgency without accountability. We are built around execution, measurable outcomes, institutional trust, and the practical realities organizations face when adopting transformative technology. While the global AI conversation is often shaped by competition, fear, or ideological debate, Glápagos focuses on what creates lasting advantage: solving real operational problems, building local capability, and delivering results that organizations can validate. Our approach follows a simple principle: credibility is earned through demonstrated value. By starting with proof, scaling with discipline, and aligning technology with organizational objectives, Glápagos establishes AI adoption as a strategic capability rather than a political position or a technology experiment. Four Levers, One Outcome Strategy: a clear, industry-specific execution roadmap, not a generic AI maturity slide. Platform: Glápagos, integrated into existing workflows and decision points rather than sitting beside them. Compliance: governance and regulatory programs designed for how regulators in this hemisphere actually operate. Talent: engineers and operators who understand the regional environment and can run AI in production, not just present it. 4. A Note on the Figures in This Report The ROI ranges presented in Section 5 are illustrative strategic models based on the value creation mechanisms Glápagos is designed to unlock across industries, including bottleneck reduction, automation of high-friction workflows, and regionally optimized predictive capabilities . These projections are intended as confidential planning inputs to support strategic evaluation and stakeholder discussions. Final performance expectations should be calibrated through live pilots, organizational data, and internal financial validation before being incorporated into external, investor, or public-facing materials. 5. SME Use Cases Across Five Industries The following industry sections apply the Corridor's Strategy, Platform, Compliance, and Talent levers to the specific SME realities of each sector, with the ROI mechanism and illustrative focus areas named explicitly rather than left as generic promises. 5.1 Manufacturing & Industrial Operations: Industry 4.0 for the region's factory floors, not Silicon Valley's The SME Reality : SME manufacturers across the Corridor run mixed-vintage equipment, thin maintenance budgets, and supply chains that cross at least one border. Global AI tooling assumes clean sensor data and a single regulatory jurisdiction, neither of which describes the shop floor as it actually operates here. Where Glápagos Creates Monetizable ROI Predict: machine learning tuned to regional operating conditions flags failure risk before it becomes unplanned downtime. Build: data pipelines that unify legacy equipment, ERP, and supplier data without ripping out existing infrastructure. Connect: shared visibility across plant, procurement, and logistics teams operating in different countries. The GENIA Americas Advantage Compliance: safety and labor governance built for how regulators in each market actually enforce it, not a U.S. template. Talent: engineers who have run AI in production on regional plant floors, not only in a lab environment. Corridor advantage: a Glápagos pilot begins with the single costliest bottleneck on the floor, not a hemisphere-wide rollout, so the first monetizable result is measured in days, not quarters. 5.2 Financial Services & Fintech Regional banks, cooperatives, and microfinance institutions The SME Reality: Mid-sized lenders and cooperatives across the region are asked to compete with fintech built in markets with entirely different credit data, fraud patterns, and regulatory regimes. Imported credit and fraud models routinely underperform on regional borrower and transaction data. Where Glápagos Creates Monetizable ROI Predict: credit and fraud models trained and tuned on regional financial behavior rather than adapted from a foreign dataset. Build: compliant data pipelines that respect each jurisdiction's data residency and reporting requirements. Connect: shared risk and underwriting visibility across branches and cross-border lending desks. The GENIA Americas Advantage Compliance: regulatory programs designed for regional financial supervisors, reducing the exposure that stalls fintech pilots elsewhere. Strategy: a roadmap that sequences underwriting, fraud, and collections use cases by expected payback, not by technical novelty. Corridor advantage: compliance is designed in from the first pilot, so the institution is not retrofitting governance after the model is already in production. 5.3 Agribusiness & Food Supply Chain From smallholder cooperatives to export-grade processors The SME Reality: Agribusiness SMEs operate on tight margins, unpredictable weather, and supply chains that frequently cross at least one border before reaching a port. Global agtech platforms are rarely tuned to regional crop varieties, local climate data, or the informal logistics networks that move goods across the hemisphere. Where Glápagos Creates Monetizable ROI Predict: yield and spoilage-risk models trained on regional crop, soil, and climate data rather than generalized global datasets. Build: traceability pipelines that connect field, processor, and exporter data for regulatory and buyer reporting. Connect: cross-border visibility between growers, cooperatives, and logistics partners. The GENIA Americas Advantage Compliance: export and food-safety documentation aligned to the destination market's actual requirements. Talent: operators who understand both the agricultural reality and the AI system running underneath it. Corridor advantage: the same infrastructure that serves a processor in one country extends to its cooperative partners across a border, instead of each link building its own AI from zero. 5.4 Retail & Consumer Logistics Regional retailers and last-mile logistics operators The SME Reality: SME retailers and logistics operators across the Corridor compete against better-capitalized players with global forecasting tools tuned to markets that do not resemble the region's informal channels, currency volatility, or last-mile realities. Where Glápagos Creates Monetizable ROI Predict: demand forecasting tuned to regional seasonality, currency shifts, and informal-channel sales patterns. Build: inventory and logistics pipelines that connect point-of-sale, warehouse, and last-mile partner data. Connect: customer service automation that operates across the languages and channels customers actually use here. The GENIA Americas Advantage Strategy: a roadmap prioritized by which bottleneck (stockouts, returns, or delivery cost) carries the largest monetizable upside first. Platform: Glápagos integrated into existing point-of-sale and logistics systems rather than replacing them. Corridor advantage: a single pilot on the costliest bottleneck (commonly stockouts or delivery cost) produces a proof point that can scale across a multi-country footprint without rebuilding the model market by market. 5.5 Public & Professional Services Government agencies, legal, and compliance-driven SMEs The SME Reality: Public agencies and professional service firms across the region face rising citizen and client service expectations with limited headcount, alongside document and compliance workloads that must be handled in multiple languages and multiple regulatory frameworks at once. Where Glápagos Creates Monetizable ROI Predict: workload and case-priority models that route the highest-impact matters to staff first. Build: document and records pipelines that automate intake, classification, and compliance reporting. Connect: cross-agency and cross-office collaboration that keeps information moving across jurisdictions. The GENIA Americas Advantage Compliance: governance programs designed around how regional regulators and public procurement processes actually function. Talent: AI operators who can work directly inside public-sector and professional-service workflows, not only advise on them. Corridor advantage: GENIA Americas already operates at the policy level, through our engagement on H.Res. 649, so public-sector partners are working with an organization that understands the regulatory environment from the inside, not from the outside looking in. 6. A Call to Current and Emerging Strategic Partners Every organization racing to sell AI into this hemisphere is selling a model. GENIA Americas is focused on delivering measurable return. RaceFor.AI, Glápagos, and the institution that coordinates them exist so that an SME in manufacturing, finance, agribusiness, retail, or public service never has to choose between compliance and speed, or between local relevance and enterprise-grade infrastructure. While AI is often framed through politics, competitive narratives, or short-term market cycles, organizations make long-term technology decisions on the basis of trust, execution, and measurable outcomes. GENIA Americas provides that certainty by aligning strategy, technology, governance, and regional expertise into a single framework for responsible AI adoption. Our advantage is not defined by the volume of the AI conversation, but by our ability to help organizations deploy AI with confidence, achieve measurable business value, and build capabilities that endure beyond market trends and policy cycles. What we have built, an active network across regions, a platform engineered for the Hemisphere, formal standing in the U.S. policy conversation, and a growing body of regional recognition, is the foundation. The industry use cases in this report are the proof that the foundation converts directly into monetizable outcomes for the SME segment that represents the largest share of economic activity across our footprint. The AI Corridor of the Americas is more than a vision. It is the regional infrastructure we have begun building to support the next generation of AI innovation, collaboration, and economic competitiveness for a new age of AI-driven growth and prosperity. We invite our current and emerging strategic partners to continue advancing this shared mission, because the organizations that invest in trusted AI infrastructure today will be the ones that shape the region's digital future, strengthen their competitive advantage, and create lasting value for generations to come. Let's discuss partnership opportunities and the next steps toward participation in the Corridor: Contact the GENIA Americas

< Back Louis-François Bouchard Cofundador | Ingeniero de IA y Especialista en LLM Louis-François Bouchard es cofundador de Towards AI, donde desarrolla y enseña un conjunto práctico de herramientas para lanzar productos confiables basados en LLM. Es coautor de Building LLMs for Production , una guía práctica sobre prompting, fine-tuning, generación aumentada por recuperación y evaluación. A través de Towards AI Academy, ha lanzado múltiples cursos avanzados para ingenieros de IA, diseñados para convertir desarrolladores en profesionales capaces de transformar prototipos en sistemas escalables y listos para clientes. También dirige el canal de YouTube y el boletín What’s AI , traduciendo nuevas investigaciones y mejores prácticas en guías de ingeniería claras para más de 70.000 suscriptores y decenas de miles de lectores. Actualmente, colabora con fundadores y organizaciones en estrategia de IA, diseño de formación y flujos de trabajo de producción que aumentan la precisión, reducen riesgos y hacen que la IA generativa sea útil para clientes reales. Además, participa como ponente en eventos como Uphill Conf. Conéctate con más líderes o explora el Corredor de IA de las Américas: https://www.racefor.ai/aicorridor

RaceFor.AI positions Puerto Rico as the strategic hub for AI infrastructure and deployment across the Americas, enabling scalable, compliant, and institutionally trusted AI solutions while creating asymmetric upside for investors and public benefit. The Americas’ AI Launchpad Strategic hub for scalable, trusted AI across regions 1. Asymmetric upside: Can Puerto Rico be a fund-mover? Puerto Rico as the AI infrastructure, regulatory, and deployment wedge for the Americas RaceFor.AI OS approach: the AI infrastructure + coordination layer for emerging and mid-market economies across the Americas. Why this becomes 10x+ (not “nice impact”): Beyond a single-product company, we offer a strategy to control AI adoption rails across the Western Hemisphere. This strategy integrates platform infrastructure, operating standards, and deployment practices that determine how AI systems are introduced, governed, and scaled region-wide across industrial and public-sector environments. Puerto Rico serves as the proving ground for this control layer and as a bridge between the United States and Latin America. As legacy and informal practices fail under increasing regulatory, operational, and resilience pressures, Puerto Rico provides a U.S.-compliant environment where outdated approaches can be deliberately replaced with standardized, repeatable AI deployment models, developed in partnership with international organizations. The objective is to institutionalize new common practices, from data governance and model deployment to procurement and operations, by hardening products and deployment frameworks in Puerto Rico and then exporting them across regulated markets throughout the Americas. When Puerto Rico becomes the default AI deployment partner for governments, utilities, logistics, healthcare, and industry across LATAM, a massive TAM concentration is unlocked. Market leadership comes from establishing institutional lock-in across borders, rather than relying on isolated or siloed features. Asymmetric bet: Puerto Rico will either remain peripheral to the new AI era, or it will emerge as the AWS/Palantir/Accenture-AI hybrid for the entire region. The fund shapes this outcome by providing the capital, network access, and strategic guidance required to scale platform adoption and institutional lock-in across borders. 2. Path to liquidity: How will we realize returns? No more vibes allowed. Acquisition paths Strategics: Cloud hyperscalers needing regional penetration + public-sector trust Defense / gov-tech players (regional partnerships deployment) Global consultancies buying infrastructure + access Why buy: Installed base Government contracts Data pipelines Regulatory positioning Access to US market IPO path Platform revenue + long-term public contracts Comparable to a large-scale, enterprise AI or data infrastructure exit, rather than a typical early-stage SaaS IPO, accelerated by strategic partnerships or regulatory alignment. Secondary liquidity: growth funds acquire early-stage investors after contracts and platform revenue stabilize, outside the typical venture ecosystem. Corporate buyers provide liquidity because they cannot replicate trust, deployment, and governance at this scale, giving the fund a structurally defensible opportunity. By enabling standardized, regulatory-compliant deployment frameworks and institutional lock-in, the fund positions itself to capture asymmetric upside across U.S. and LATAM regulated markets, with predictable, LP-friendly exit paths. 3. LP‑Explainable Risks: Government sales cycles: Execution risk, mitigated by multi-country diversification AI regulation: Reduced via built-in governance and standards alignment Platform complexity: Solved via modular rollout (sector by sector) Political instability: Offset by enterprise and utility customers This is execution-focused, fully compliant with regulations, legally sound, and built on proven AI capabilities. Blueprint execution: a mindset of rigorous operational discipline ensures predictable delivery and scalable impact, replacing outdated, scarce, fragmented practices with standardized, repeatable deployment frameworks. 4. Which founders will reduce uncertainty? This question must be existential. The focus is to identify and empower founders who can rapidly learn, adapt, and execute when plans break, while recognizing the capabilities of a high-potential region, and avoiding copy/paste techniques that force local markets to default to third-party solutions, thereby reducing uncertainty and de-risking outcomes at scale. Funded organizations must master complex ecosystems, including: Governments Enterprises Capital Politics Technology By developing capabilities as: Systems thinkers: seeing interconnections and anticipating cascading effects Coalition builders: aligning stakeholders across sectors and borders Capital-literate operators: making investment and growth decisions with financial sophistication High-stakes sales navigators: thriving in slow, complex, and high-impact deal cycles, while fully leveraging the opportunities of the age of exponential technology. Teams must have already operated at the intersection of new market dynamics, or at minimum demonstrated this perspective as the core of their thesis, navigating deep-tech environments alongside legacy markets. If that’s not yet true, recruit advisory firepower quickly to close the gap. 5. Direction beats position but direction must be visible: Puerto Rico’s ecosystem must generate credible AI government or enterprise deals to demonstrate that Puerto Rico is moving away from colonial practices of fragmented market adoption and dependence on external solutions. 6. An ethical (= regionally validated approach/no Copy/Paste) AI ecosystem across the Americas ensures defensible market positions, predictable LP-aligned returns, and public benefit by fostering ‘collaborative competition’, raising social and operational standards while driving collective progress. Puerto Rico already functions as an overseen strategic entity; why not organize it like Europe did with ‘EU, Inc.’ and focus on building a pan-American AI infrastructure and deployment layer that enables safe, scalable AI adoption while creating defensible market positions and predictable returns for funds? 7. This will only work if we become a default layer. If not, it shouldn’t even exist. Building the AI infrastructure and deployment layer for governments and enterprises across the Americas requires Puerto Rico as the strategic hub bridging U.S. and LATAM markets. The AI Fund ensures immediate, coordinated action, empowering globally minded founders who reduce uncertainty, scale rapidly, and operate with systems thinking, coalition building, and capital literacy. The fund mobilizes resources locally and internationally, strengthening Puerto Rico’s ecosystem while leveraging outer partnerships to reinforce both the regional economy and industrial capabilities. Rigorous operational discipline standardizes deployment, builds institutional trust, and creates predictable, scalable impact. Puerto Rico generates visible, credible government and enterprise deals that establish cross-border lock-in and high-barrier-to-entry positions. By connecting stakeholders, the island, as an AI deployment engine, fosters an AI ecosystem representative of the region’s capabilities to scale and export AI solutions worldwide, drive public benefit, strengthen regional capabilities, and create asymmetric upside for funds through long-term contracts, platform leverage, and strategic partnerships. This positions Puerto Rico as the modern hub for AI infrastructure and deployment and our partnerships as region-defining strategic assets, leveraging the unique qualities of the Caribbean’s innovation and strategic gateway . Downlad Presentation

RaceFor.AI unifies AI strategy, technology, compliance, and talent into one deployable network across 35 nations. Built for the Americas, not imported to it. AI STRATEGY & DEPLOYMENT — WESTERN HEMISPHERE The intelligence layer for the Americas. Built for the Americas. Designed to Put AI to Work. Glápagos brings together AI infrastructure, technology, regional expertise, and strategic capabilities in one deployable network spanning 35 nations. Built around the realities of the Americas, it bridges North America, Central America, South America, and the Caribbean through a deep understanding of the region’s industries, cultures, and markets. Meet Glápagos : The AI Infrastructure Powering the Americas By combining advanced AI technologies with regional expertise and collaborative infrastructure, Glápagos helps organizations build, deploy, and scale AI solutions grounded in the realities of the Americas. Additionally, GLAPP, powered by Glápagos’ AI platform, delivers industry-specific applications that help organizations turn their AI initiatives into practical solutions and tangible results. GLAPP equips enterprises, institutions, and innovators with secure, scalable capabilities to accelerate AI adoption, strengthen local infrastructure, develop talent, and turn investment into measurable business and economic impact. Explore GLAPP: Order Custom AI Explore more → WHY REGIONAL AI STALLS Imported frameworks don't hold up in the field. 01 Compliance mismatch Frameworks built for U.S. regulation don't map cleanly onto regional law. Deployment stalls, and legal exposure grows. 02 Performance decay Models trained on foreign data underperform on regional language, culture, and economics. Demos look good; production doesn't. 03 No shared infrastructure a Every market starts from zero. There has been no common backbone across borders — until now. HOW THE NETWORK OPERATES Four disciplines. One deployable system. ♘ Strategy ⌨ Platform ⛉ Compliance 𖨆 Talent ♘ Strategy A clear roadmap for adopting and scaling AI inside your organization. 01 → Build My AI Roadmap ⌨ Platform Galápagos — the modular system that connects AI to real workflows. 02 → Start Building 𖨆 Talent Engineers and operators who understand the environment they build in. 04 → Find Specialized AI Talent ⛉ Compliance Governance and regulatory programs built for real Americas markets. 03 → Build My AI Governance Plan </> THE TECHNOLOGY BACKBONE One platform underneath every deployment. An AI DevOps platform purpose-built for multi-jurisdiction deployment across North, Central, and South America — where strategy lands and starts running. STRATEGY LAYER Connected COMPLIANCE LAYER Connected DATA & MODELS Connected CROSS-BORDER DEPLOY Active One network built for the hemisphere's own rhythm. APPLICATIONS OPEN The race is already running. Request Access

< Back Rosario B. Casas Líder en Tecnología y Transformación Digital Rosario es una latinapreneur y líder tecnológica galardonada, conferencista TEDx y NAB, con más de 25 años de experiencia en cargos ejecutivos y más de 9 años de trayectoria en plataformas de datos y tecnología. Es cofundadora de XR Americas, BCPartners Tech y la Comunidad de Transformación Digital Brooklyn2Bogota, y miembro cofundadora de Dreamers & Doers. Fue CEO de Senseta Group y ha formado parte de múltiples juntas asesoras, incluyendo SXSW Pitch, Rally Prize Indiana, XR In Learning, The World Innovation Network (TWIN Tech) y Rutgers University – Big Data. Rosario también mentoriza a emprendedores en Founder Institute, Women.nyc , WE NYC, Harvard Ventures, Mujeres Tech de la Cámara de Comercio de Bogotá, NYU Tandon School of Engineering y Nasdaq Entrepreneurial Center. Ha sido reconocida como Mujer Legendaria por Ford Motor Company, Innovadora OBO100, y Mentor de Mayor Ranking Latam 2022 del Founder Institute. Ha sido incluida en libros como Hispanic Stars Rising: The New Face of Power de Claudia Romo Edelman, The Future Built by Women – Creating a Brighter Future Through Tech and Innovation de Brooke Markevicius y Behind Her Vision: Women of New York City de Ashika Kalra y Jade Chen. Conéctate con más líderes o explora el Corredor de IA de las Américas: https://www.racefor.ai/aicorridor

GENIA Americas is committed to protecting your privacy and handling your personal data with transparency and care. Our Privacy Policy explains how we collect, use, store, and safeguard your information, and your rights regarding your personal data. Privacy Policy A legal disclaimer The explanations and information provided on this page are general and high-level overviews intended to guide you in creating your own Privacy Policy. These details should not be considered legal advice or specific recommendations for how you should structure your privacy policies. We cannot predict the unique privacy requirements and policies that you may wish to establish between GENIA Americas and your customers or visitors. Privacy Policy - the basics A privacy policy is a statement that outlines how a website collects, uses, discloses, processes, and manages the data of its visitors and customers. It typically includes a commitment to protecting user privacy and provides an explanation of the mechanisms the website employs to safeguard that privacy. It is important to note that different jurisdictions have varying legal requirements regarding what must be included in a Privacy Policy. As a business, GENIA Americas is committed to ensuring compliance with applicable laws and regulations regarding privacy and data protection. However, you are responsible for ensuring that your Privacy Policy complies with the relevant legislation based on your location and activities. GENIA Americas Privacy Policy.pdf