H2O.ai expands investment in Forward Deployed AI Lab in Singapore. * 1 hr ago H2O.ai, the sovereign enterprise AI platform spanning predictive, generative, and agentic AI, today announced an expanded investment in its Forward Deployed AI Lab in Singapore, growing its in-region team of AI engineers and data scientists, delivery infrastructure, and partner network who work directly with customers to design, build, and deploy production-grade AI across the Asia-Pacific region. The Lab deepens H2O.ai's long-standing investment in APAC and reflects a simple conviction: the most valuable enterprise AI is built with customers, partners, and the local ecosystem - on the ground, where their data, teams, and operational environments live. By expanding forward-deployed talent in Singapore, H2O.ai partners closely with organizations operating under strict data-residency, regulatory, and sovereignty requirements, embedding directly with their teams to close the last, hardest mile from proof-of-concept to deployed, mission-critical AI. Dame Judi Dench immortalised by 'overwhelming' West End honour "The last mile of enterprise AI is really 99 miles and customer proximity is the moat. Bringing world-class human and AI talent, our maker spirit, and hands-on expertise closer to customers and local communities helps Singapore and every AI nation think globally, act locally, and maintain sovereign ownership of its AI assets," said Sri Ambati, CEO and Founder of H2O.ai. Forward Deployed Engineering, Built for the Region Forward Deployed AI Engineering is H2O.ai's model for embedding specialist AI engineers and data scientists directly inside customer teams, where frontier AI meets real-world deployment, to solve the hardest problems and unlock new value. The Singapore Lab extends this model with locally based talent equipped to support the region's regulated industries and public-sector organizations, focused on: * Embedded delivery. Forward-deployed engineers working inside customer environments to take agentic and predictive AI from experimentation to production, at scale. * Full-stack investment. Dedicated hardware and software infrastructure, a growing network of delivery partners and subject-matter experts, and direct customer input shaping the Lab's roadmap. * Sovereign and regulated readiness. Support for in-country, on-premises, and air-gapped deployments that keep data, models, and execution under the customer's full control. * Local talent and long-term commitment. A permanent, in-region team invested in growing Singapore's and APAC's applied-AI capability. Built for Sovereign and Regulated Environments H2O.ai's platform is designed for enterprise production from the ground up, with embedded risk controls, audit trails, and governance. For regulated and public-sector environments, H2O.ai supports Sovereign AI deployments, including air-gapped and on-premises configurations, allowing organizations to run agentic AI within their own infrastructure while maintaining full control over data, models, and execution. The Forward Deployed AI Lab brings that capability directly to customers' teams, in-country. Rooted in Singapore's AI Ecosystem The Forward Deployed AI Lab builds on H2O.ai's established standing with Singapore's AI institutions. H2O.ai's Enterprise GenAI suite is accredited under the Infocomm Media Development Authority (IMDA)'s Accreditation programme, an independent validation that supports confident adoption across the public and regulated sectors. H2O.ai is also a member of the AI Verify Foundation, an IMDA subsidiary, contributing benchmarks and code to Project Moonshot, its open-source toolkit for testing and red-teaming large language models. That track record of independently validated, governable AI is the foundation the Lab now brings directly to customers' teams. "Enterprises and governments across APAC have been clear: they want AI expertise on the ground, not on a plane, and they want their data to stay home," said Jamie Lim, VP of Partnerships, APAC at H2O.ai. "The Forward Deployed AI Lab is our commitment to build that capability in Singapore, a local team of engineers and data scientists embedded with our customers for the long term." The Singapore Lab builds on H2O.ai's established regional footprint and years of delivery for leading APAC enterprises and public-sector organizations across financial services, government, and beyond, including deep, on-the-ground engagements in Australia. It reinforces Singapore's position as a strategic hub for trusted, in-region AI, and H2O.ai's long-term commitment to building that capability alongside the nation's own AI ecosystem. About H2O.ai H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Chipotle, Workday, Progressive Insurance, and NIH. Through its AI for Good program, H2O.ai supports nonprofits, public sector agencies, and global institutions in advancing healthcare, education, disaster response, and environmental sustainability using agentic and predictive AI. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures, and New York Life. Media gallery

AT&T has deployed H2O AI Super Agent to power autonomous AI workflows across customer experience, fraud prevention, field operations, and enterprise research. The telecommunications giant processes approximately 45 billion tokens daily and has adopted fine-tuned small language models to reduce costs by up to 90% whilst improving accuracy and latency. The platform orchestrates autonomous research agents, retrieval-augmented generation pipelines, and predictive AI systems within a unified architecture. AT&T will use it for fraud detection, customer experience enhancement, enterprise document intelligence, and expansion of its Ask AT&T platform. The deployment builds on AT&T and H2O.ai's existing collaboration, which has included co-developing the H2O AI Feature Store and joint AI-for-Good initiatives. H2O.ai has raised $256 million from investors including Commonwealth Bank, NVIDIA, and Goldman Sachs.

H2O AI Super Agent(TM) is Added by AT&T to Power Enterprise Agentic AI. Jul 14, 2026 MOUNTAIN VIEW, Calif.-(BUSINESS WIRE)-H2O AI Super Agent(TM) is now being used by AT&T in its next phase of agentic AI initiatives and Ask AT&T, deploying autonomous agentic capabilities in workflows across customer experience, fraud prevention, field operations, enterprise research, and intelligent automation. The H2O AI Super Agent(TM) enables AT&T to orchestrate autonomous deep research agents, enterprise-grade retrieval-augmented generation (RAG) pipelines, predictive AI systems, and fine-tuned SLMs within a unified architecture designed for enterprise execution. This new integration builds on a long-standing relationship between AT&T and H2O.ai focused on operationalizing AI in production environments where scale, latency, governance, and cost efficiency matter. On an average day, AT&T processes tens of billions of tokens across enterprise AI workloads and has increasingly adopted fine-tuned small language models (SLMs) to improve accuracy, optimize latency at scale, and reduce costs by up to 90%. "At AT&T, we operate AI systems at enormous scale, processing about 45 billion tokens per day across complex environments, including customer and network operations, fraud prevention, and enterprise workflows. As our AI initiatives expand, we need to reduce operational complexity, improve reasoning across separate systems, and deploy lower-latency, cost-efficient AI with enterprise-grade governance." "H2O AI Super Agent helps us orchestrate predictive AI and autonomous agents in a scalable architecture built for production. We see the opportunities to improve our employee and customer experiences, by deploying meaningful AI tools that drive business value and better serve our customers." Andy Markus Chief Data Officer at AT&T Moving beyond single agents to autonomous enterprise systems. At the core of the H2O AI Super Agent is H2O.ai's convergence of agentic, generative, and predictive AI, combining large language and reasoning models with purpose-built, fine-tuned SLMs and predictive engines. This multi-agent architecture enables agents to reason over structured and unstructured data, make predictions, and execute decisions within end-to-end enterprise workflows. Rather than operating as a single executor, the H2O AI Super Agent acts as an orchestrator - decomposing high-level objectives such as enterprise research, analysis, synthesis, and decision support into structured sub-tasks, deploying agents in parallel, and dynamically adapting workflows based on context. How AT&T will use the H2O AI Super Agent across the business. As part of the deployment, AT&T is using the H2O AI Super Agent to support workflows across customer experience, network operations, security, and risk management, including: * Fraud prevention and financial crime detection, using predictive and agentic intelligence to identify anomalies and reduce risk * Customer experience and field operations intelligence, leveraging fine-tuned language models to improve resolution quality, response speed, and operational efficiency * Enterprise research, document intelligence, and content generation, enabling the agent-based RAG capability to "talk" to documents * Advanced analysis and visualization of structured data, including tabular, spreadsheet-based, network, and tower datasets * Expansion of the Ask AT&T platform, with new agent-powered capabilities and interoperable workflows across internal systems and APIs Enterprise-Ready and built for regulated environments. The H2O AI Super Agent is designed for enterprise production from the ground up, with embedded risk controls, audit trails, and governance. For regulated environments, H2O.ai supports sovereign AI deployments, including air-gapped and on-premises configurations, allowing organizations to deploy agentic AI within their own infrastructure while maintaining full control over data, models, and execution. "AT&T stands out as one of the most advanced enterprise AI organizations in the world - we are excited to be powering thousands of users and agents on Ask AT&T. H2O AI Super Agents are sophisticated coding agents with accurate tool calling, orchestrating deep research, reasoning, predictive intelligence, and purpose-built small language models. They are designed for traceable, high-fidelity execution across long-running business tasks on both private and public data." Sri Ambati Founder and CEO at H2O.ai The collaboration also includes the co-development of the H2O AI Feature Store, originally built to support AT&T's massive enterprise data ecosystem. Designed to help teams reuse, govern, and operationalize machine learning features across the enterprise, the platform addressed one of the most resource-intensive challenges in AI development: feature engineering. Beyond enterprise AI deployments, the collaboration has also included joint AI-for-Good initiatives, such as flood prediction research with Argonne National Laboratory, validating that AI-driven models can replicate complex physics-based simulations and accelerate scientific discovery. About H2O.ai. H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Chipotle, Workday, Progressive Insurance, and NIH. Through its AI for Good program, H2O.ai supports nonprofits, public sector agencies, and global institutions in advancing healthcare, education, disaster response, and environmental sustainability using agentic and predictive AI. H2O.ai partners include NVIDIA, Dell Technologies, Cisco, HPE, EY, Databricks, Snowflake, AWS, Google Cloud Platform, Azure, Oracle, Anthropic, OpenAI, VAT Data, and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures, and New York Life. Media contact.