Enterprise Generative AI
Enterprise h2oGPTe provides information retrieval on internal data, privately hosts LLMs, and secures data so it stays with you
Document AI with multimodal guided JSON generation
Turn private data into actionable outputs
Queries in h2oGPTe are grounded in customer private repositories, including document archives, knowledge bases, and databases, using advanced vector embeddings and a multitude of proprietary techniques that significantly reduce hallucinations and improve AI reliability. With built-in Document AI, h2oGPTe can generate schema-driven JSON outputs tailored to your specificationsâwhether summarizing contracts, extracting compliance metrics from reports, or structuring responses for financial audits. Over a dozen specialized models power this pipeline, delivering highly accurate and structured data responses from your own source documents.
Multimodal audio/vision-powered analysis
h2oGPTe's Audio and Vision Models can extract structured information from audio files, images, charts, and other visual elements like flowcharts or handwritten documents. These capabilities are essential for fields where insights are often embedded in diagrams and tables, offering a new level of interpretability and insight for data-driven decision-making in visual-heavy contexts. Audio models can transcribe and translate recordings in dozens of languages. Vision models can help AI agents autonomously verify their own generated content.
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Coding assistant
Rapid prototyping & development
h2oGPTe's Coding Assistant helps developers quickly prototype ideas by generating starter code and scaffolding for new projects. It provides basic code completion and documentation, helping teams move from concept to working prototype faster. The assistant supports common programming languages and can suggest simple optimizations during development.
Autonomous agentic AI
Execute multi-step workflows autonomously
h2oGPTe Agents bring autonomous task execution to your workflows, enabling LLMs to perform multi-step actions with tool calling such as web research, data science 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 handling, and real-time decision-making. h2oGPTe Agents can create multi-page PDF documents with charts and tables and flowcharts grounded on actual data found in various documents. Source code for the created content is provided as well.
Citation-based verification for transparent Retrieval Augmented Generation (RAG)
Fact-check every response with built-in citations
With a customizable âCitationâ prompt template, h2oGPTe provides quoted references for every response, offering links to highlighted document pages that allow for precise tracking and validation of insights. This feature provides an essential layer of transparency and source traceability, critical for data-sensitive environments where auditability, response accuracy, and reliability are mission critical.
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Customizable guardrails for AI safety
Fine-grained access control with scoped response guardrails
h2oGPTeâs Guardrails and PII controls enable custom restrictions on AI responses, offering configurable control over input and output safety boundaries. This feature mitigates risks in sensitive environments by preventing unauthorized access to restricted information or responses, ensuring responsible AI usage that complies with enterprise policies and ethical standards.
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Intelligent model routing
Fact-check every response with built-in citations
With a customizable âCitationâ prompt template, h2oGPTe provides quoted references for every response, offering links to highlighted document pages that allow for precise tracking and validation of insights. This feature provides an essential layer of transparency and source traceability, critical for data-sensitive environments where auditability, response accuracy, and reliability are mission critical.
Model risk management
Monitor, visualize, and enhance model resilience and interpretability
ML-based evaluators
Ensures regulatory compliance by avoiding LLMs as judges, using ML with Natural Language Inference (NLI) for objective, verifiable model assessments.
Visual topic and collection insights
Provides visualizations for topics and collections, helping teams quickly identify patterns and understand model behavior at a glance.
Automated question generation
Robustness testing with question perturbation, uncovering potential weaknesses.
Calibration with Human Feedback
Incorporates human feedback in the calibration process to fine-tune thresholds for evaluation metrics.
Develop, deploy and share safe and trusted applications
Keep your data isolated and secure. We handle provisioning and deployment built right within H2O GenAI App Store. Choose the most cost-effective models for your use case, ensure the safety of your data and create reusable components to scale application development.
- Data Science Expertise
- Leverage OSS LLM Models
- Supercharge AutoML with GenAI
- Open Source vs Enterprise
Data Science Expertise
10+ years of experience serving hundreds of Fortune 2000 companies
H2O.ai created first Open Source AI for Enterprise, first .ai domain
On premises, multi-cloud and SaaS support
Multiple successful generations of ML/AI platforms (H2O-3/Driverless AI)
Consistent visionary leadership in Gartner MQsÂ
30 Kaggle Grandmasters at H2O.ai
NEWS FLASHÂ 
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Team H2O LLM Studio won first place in the 2023 Kaggle LLM Science competition using RAG!
Fine-Tuning of LLMs/NLP
Data prep (doc to Q/A, cleaning, filters) for LLM fine-tuning
Fine-tuning for custom languages/styles/tasks
Support all GPU types, all LLM types (Falcon, Llama, Codellama etc.)Â
Custom Embeddings for VectorDB
Custom NLP models as safety for LLMs (built with H2O Hydrogen Torch)
Lowest TCO, lowest risk
Always on top of the latest open source LLMs and techniques like quantization
Llama2-based models for chat and coding are very similar to GPT-4Â
Runs on commodity hardware (even on single 24GB GPU)
OSS community has the highest pace of innovation
Performance
Latest open source LLM models are on par with proprietary models for both chat and code
State-of-the-art vLLM-based model deployment and inferencingÂ
Fully scalable architecture designed for multi-user deployment
100+ queries/minute on single GPU deployments (Llama 13B)
All components like VectorDB, Parsers, LLMs are horizontally scalable with k8s
Advanced Predictive Analytics and Decision Support from AutoML
Easily extract business insights from industry-leading AutoML (H2O Driverless AI)
Ask business questions, get answers based on predictions and Shapley reason codes
Full automation from Data to Business recommendations
Industry-leading AI/ML Platforms
Industry-leading Open Source Tabular ML and AutoML (H2O-3)
Industry-leading multimodal AutoML for Time-Series, NLP, Images, with Python recipes (H2O Driverless AI)
Industry-leading standalone Java/C++ deployment (H2O-3/H2O Driverless AI)
Unstructured transformers-based Deep Learning fine-tuning for image/video/audio/text (H2O Hydrogen Torch)
Automatic labeling tools for unstructured data with zero-shot models (H2O Label Genie) - Supervised document annotation engine (H2O Document AI)
Model management, deployment, inferencing, and monitoring for H2O and third-party models
| Features | Enterprise h2oGPTe | Open Source h2oGPT |
|---|---|---|
| Prompt Engineering | â | â |
| Data Prep | â | â |
| Fine-Tuning | â | â |
| Inference | â | â |
| Document Search | â | â |
| On Premise | â | â |
| GCP | â | â |
| AWS | â | â |
| Azure | â | â |
| Retrieval Augmentation Generation (RAG) | â | â |
| Managed Cloud | â | Â |
| Hybrid Cloud | â | Â |
| Validation | â | Â |
| Guardrails | â | Â |
| Scalability | â | Â |
| Installers | â | Â |
| Security | â | Â |
| Multi-Tenancy | â | Â |
| Enterprise Support | â | Â |
| Enterprise RAG | â | Â |
| LLM MLOps | â | Â |