Enterprise Generative AI
Enterprise h2oGPTe provides information retrieval on internal data, privately hosts LLMs, and secures data so it stays with you
Built on open source models
We make open source models enterprise ready
We’ve fine-tuned open source models to perform faster and more accurately than any other open source models available in the market today.
We have built-in GuardRails, or choose the GuardRail of your choice.
We’ve designed and developed the world’s best LLM-powered assistant that is grounded in your internal trusted knowledge base.
We made it easy to deploy, install and upgrade. We take the pain out of fine-tuning, testing, deploying and updating foundational models and algorithms with our API library of connectors and pre-built integrations.
Size matters
We understand that size matters. That's why we offer the smallest operational footprint possible, running on the GPUs you already have. With our retrieval augmentation generation (RAG) technology, you can seamlessly integrate our models into your existing data store.
We give customers total control and customization over their AI models. This level of customization and control is unmatched by anything in the market today.
We offer 13b, 34b or 70b Llama2 models that are up to 100x times smaller and more affordable while maintaining human-level accuracy. We deliver the best open source models that efficiently accomplish tasks at a fraction of the cost to run and operate.
OSS models are more transparent
According to the 2023 Foundation Model Transparency Index by Stanford University Center for Research on Foundation Models:
Open models lead the way: two of the three open models score greater than the best closed model.
Get answers from documents and data
Web pages, audio, images and video
RAG (Retrieval Augmented Generation) utilizing VectorDB, Embeddings, and LLM for advanced data understanding and generation capabilities.
Built with multi-year expertise in Document AI, ensuring robust and reliable performance.
Get fact-based answers (Grounding), data extraction (document to JSON), summarization, and other batch processing tasks, as well as code/SQL generation for data analysis.
Safety, controls and transparency
EvalGPT.ai provides a customizable evaluation and validation framework that is model agnostic, allowing for the assessment of various AI models without being tied to a specific one.
Guardrails and response validations to detect and remove personally identifiable information (PII) or sensitive data, ensuring safety and privacy.
Decision Rules to provide AI governance over any model output.
Complete control over deployment and flow of information
Air-gapped, on-premises, your hardware, your software, your data. No dependence on 3rd party services for on-premises deployments.
SSO and SOC2 Type 2 + HIPAA compliant
end-to-end GenAI platform created by the makers of our award-winning AutoML and no-code deep learning engines.
Hosted in your private cloud or on-premise. Supports Cloud VPC in AWS, Azure, GCP. No sharing of hardware with other customers in the cloud, single-tenant.
Make your own GPTs and custom applications with H2O LLM Studio Suite
Client APIs for Python, JavaScript - Customize LLM/VectorDB for your use cases
Leverage H2O.ai's Low/No-Code App dev frameworks (H2O Wave, Sketch2Wave)
Pre-built templates for common use cases
Create your own large language models, build enterprise-grade GenAI solutions with the H2O LLM Studio Suite
H2O LLM Studio was created by our top Kaggle Grandmasters and provides organizations with a no-code fine-tuning framework to make their own custom state-of-the-art LLMs for enterprise applications.
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Curate
H2O LLM Data Studio -
Prep
H2O LLM Data Studio -
Fine Tune
H2O LLM Studio -
Evaluate
H2O LLM Eval Studio -
Sketch It
H2O LLM App Studio
Convert your unstructured data (documents, audio, files) to Q:A pairs for LLM fine-tuning
Prepare and clean your data for LLM fine-tuning and other downstream tasks
Fine-tune state of the art large language models using LLM Studio, a no-code GUI framework
Get a custom leader board comparing high-performing LLMs and choose the best model for your specific task
Create LLM-powered AI applications as fast as you can sketch it using LLM App Studio!
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 MQs
30 Kaggle Grandmasters at H2O.ai
NEWS FLASH 
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.)
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-4
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 inferencing
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 | ✓ | ✓ |
| Data Prep | ✓ | ✓ |
| Fine-Tuning | ✓ | ✓ |
| Inference | ✓ | ✓ |
| Document Search | ✓ | ✓ |
| On Premise | ✓ | ✓ |
| GCP | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Retrieval Augmentation Generation (RAG) | ✓ | ✓ |
| Managed Cloud | ✓ | |
| Hybrid Cloud | ✓ | |
| Validation | ✓ | |
| Guardrails | ✓ | |
| Scalability | ✓ | |
| Installers | ✓ | |
| Security | ✓ | |
| Multi-Tenancy | ✓ | |
| Enterprise Support | ✓ | |
| Enterprise RAG | ✓ | |
| LLM MLOps | ✓ |