The industry’s first multi-agent Generative AI platform to bring together the strengths of Generative AI and Predictive AI with airgapped, on-premise deployment options.
Building on the recent releases of H2O Mississippi and Danube small language models (SLMs), this platform brings together purpose-built AI solutions for enterprise scale and regulated industries.
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--H2O.ai, the leader in open-source Generative AI and the most accurate Predictive AI platforms, today announced the industry-first convergence of Predictive AI and Generative AI in its enterprise generative AI platform, h2oGPTe. The new agentic capabilities enable h2oGPTe Agents to seamlessly integrate H2O.ai’s predictive AI models into autonomous workflows, ushering in a new era of operational efficiency and intelligent automation.
This breakthrough transforms h2oGPTe into the only end-to-end enterprise AI platform to converge Generative and Predictive AI capabilities in air-gapped, on-premise and cloud environments, ensuring both compliance and innovation. Built for industries like finance, telco, healthcare, and government, h2oGPTe’s multi-agent AI system autonomously manages complex, multi-step tasks, drawing from both generative insights and predictive accuracy to enhance enterprise decision-making with transparency and control.
“Multi-agent systems are the digital workforce of tomorrow, equipped not only to act but to adapt, collaborate, and evolve”
Sri Ambati
Founder and CEO of H2O.ai
“Our pioneering work with agentic AI allows organizations to unlock the potential of converged predictive and generative intelligence—moving beyond automation to true transformation of enterprise workflows. It’s about amplifying human potential and democratizing AI, so every business can achieve exponential growth.”
To further illustrate, an agent can classify customer call center inquiries into over 80 categories using a fine-tuned H2O Danube model at a fraction of the cost of traditional large language models (LLMs). This system is then orchestrated with an Agentic AI framework powered by state-of-the-art LLMs to dynamically provision operators using a predictive AI agent, enabling efficient complaint resolution.
“The development and deployment of generative language models, particularly in high-stakes sectors like banking, demand a rigorous framework that balances automation of testing and evaluation with human calibration to ensure reliability and transparency”
Agus Sudjianto
Senior Vice President Risk & Technology
Consistency and safety in Agentic AI needs rigor, continuous reinforcement, and learning. Building trust in AI agents requires rigorous testing, thorough evaluation frameworks, and transparency through open-source development.
With its rich set of features, h2oGPTe is designed to meet these needs, providing robust agent reliability, document AI capabilities, and advanced safety protocols.
Key Features of h2oGPTe:
- Multimodal Agentic AI with Predictive Model Integration
h2oGPTe Agents bring autonomous task execution to your workflows, employing LLMs to perform multi-step actions such as web research, predictive modeling, database access and iterative code execution. These agents operate programmatically to reduce manual workload and streamline operations, offering continuous, autonomous performance on tasks requiring sequential logic, data science, programming, and complex decision-making. h2oGPTe Agents can create multi-page PDF documents with charts and tables and flowcharts grounded on actual data found across various data sources, or train and deploy highly predictive and explainable machine learning models by autonomously leveraging the world’s best AutoML H2O Driverless AI.
- Model Risk Management for Enhanced Compliance and Interpretability Transparent Assessments with Embedding and ML-Driven Evaluators: Embedding-based metrics complemented with Natural Language Inference provide transparent, explainable and objective model assessments to enhance accountability and clarity.
- _Calibrated Metrics with Human Feedback:_Incorporating sampling of human feedbacks calibrate automated metrics, enabling efficient and trustworthy evaluations crucial for high-stakes applications.
- _Robust Testing through Automated Question Generation:_Automated question generation facilitates comprehensive testing to identify model vulnerabilities and improve reliability.
- _Rapid Diagnostics with Visual Insights:_Visualizations to enable quick identification of patterns and weaknesses, supporting efficient diagnostics and model improvement.
H2O Agentic AI and new features are generally available in Enterprise h2oGPTe on Thursday, Nov. 21, 2024. For more information or to schedule a demo, visit https://h2o.ai/platform/enterprise-h2ogpte/
H2O.ai created the industry's trusted Sovereign AI Platform because organizations should own their AI: their agents, models, data, and results, run anywhere from cloud to air-gapped.
Super Agent orchestrates predictive, generative, and agentic AI in one system, with observability and governance, empowering regulated and public sector organizations to get value from AI. Moving from pilot to production takes expertise, from top-ranked data scientists, including Kaggle Grandmasters, to forward-deployed engineers embedded with customer teams.
Built on a decade of open source, H2O.ai is trusted by 20,000+ organizations, half the Fortune 500. AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH rely on H2O.ai to cut cost and risk and own their AI future.
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