Made By
h2oaiReleased On
2012-08-27
H2O.ai is a leading provider of open-source and enterprise AI solutions, specializing in both predictive and generative artificial intelligence. The company offers a range of products designed to enhance human productivity and streamline various business processes through advanced AI technologies.
Key features:
- H2O-Danube2-1.8B: An open-weight small language model designed for offline applications, capable of fine-tuning on domain-specific datasets. It is economically efficient and can be embedded in edge devices like mobile phones and drones.
- h2oGPTe: A generative AI tool that synthesizes diverse data, allowing users to process thousands of documents or web pages. It supports tasks like inspection, extraction, translation, transformation, summarization, and more.
- Multi-modal Document AI: Capable of extracting information from diagrams, flowcharts, web pages, audio, video, and images. It can convert structured data like financial tables to JSON.
- Predictive AI capabilities including fraud and scam detection, complaint summarization, personalized recommendations, risk assessment for KYC and loan applications, and pricing optimization.
- Cost efficiency: Up to 200x cheaper on query costs and 100% cheaper on document processing compared to other platforms. Users can host models on their own GPU infrastructure, providing full control and ownership, which is more economical.
How it works:
Users can interact with H2O.ai's tools through web and mobile applications, APIs, SDKs, and the GenAI App Store. The platform supports a wide range of deployment options, including cloud, hybrid, on-premise, and air-gapped environments.
Integrations:
H2O.ai supports integrations with both proprietary and open-source large language models (LLMs), such as Gemini, Claude, GPT-3.5 or 4, Bedrock, Groq, Mistral, Mixtral, H2O Danube, Llama3, and Fine-Tunes.
Use of AI:
H2O.ai leverages generative AI to solve a broad spectrum of natural language use cases, including classification, semantic search, paraphrasing, summarization, and content generation.
AI foundation model:
The foundation models used include both proprietary and open-source LLMs, providing flexibility and control to the users.
How to access:
H2O.ai's solutions are available as web apps, mobile apps, APIs, and SDKs. They can be deployed in cloud, hybrid, on-premise, and air-gapped environments.
H2O.ai's solutions are ideal for enterprises looking to enhance productivity, streamline document processing, and leverage AI for various business applications, particularly in industries like finance, legal, healthcare, and customer service. The company was founded in 2012, and its latest product, H2O-Danube2-1.8B, was launched on May 30, 2024, and is available under the Apache v2.0 license, making it open source.
Pricing model: Book Demo / Request Quote |
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