Location
Headquarters: Mountain View, California, United States, North America
Region: California
Country: US
Continent: North America
About
H2O.ai is a leading provider of a comprehensive GenAI and machine learning platform designed for enterprise use, with strong emphasis on on-premises, air-gapped, and private cloud deployments. The company offers an end-to-end suite including enterprise-grade LLMs, fine-tuning, feature stores, AutoML, and governance tools, catering to regulated industries such as financial services, telecommunications, and public sector. Its solutions emphasize secure integration with existing data infrastructures and apps, enabling private data to drive predictive and generative AI without data exfiltration. H2O.ai positions itself as a trusted partner for organizations requiring high security, compliance, and scalable AI workflows across global operations.
H2O.ai provides an enterprise-grade artificial intelligence platform focused on machine learning and generative AI for regulated industries. The company offers tools for AutoML, large language model fine-tuning, and governance, emphasizing secure on-premises and private cloud deployments. Its primary customers include organizations in financial services, telecommunications, and the public sector r
H2O.ai, Inc.
2012
for_profit
active
Industries
Primary Industry: Software
Categories
Funding & Financials
secondary_market
232500000
1m-10m
private
Investors
Founders
Cliff Click
SriSatish Ambati
Leadership
SriSatish Ambati — Founder and Chief Executive Officer
Arno Candel — Chief Technology Officer
Leland Wilkinson — Chief Scientist
Michal Malohlava — Chief Architect of Platforms
Josephine Wang — Head of Customer Experiance
Tom Kraljevic — VP, Customer Engineering
Raymond Peck — Director of Product Engineering
Michal Kurka — Lead Software Engineer
SriSatish Ambati — board_member
Jishnu Bhattacharjee — board_member
Andrew McMullan — board_member
Technology Stack
Products
H2OVL Mississippi SVLM Series: A series of economical multimodal OCR models for document AI, trained on millions of conversation pairs for high-resolution image handling and text recognition.
H2O Danube SLM Series: A set of small language models trained on trillions of tokens, optimized for fast, lightweight tasks and offline fine-tuning by developers.
h2oGPTe: A generative AI platform enabling scalable, production-ready AI applications with support for text, image, and code generation via Python APIs.
H2O Model Validation: An enterprise-grade model risk management tool for evaluating, explaining, and ensuring compliance of AI models, especially in financial services.
H2O Document AI: A multi-modal document AI platform for enterprise-scale, secure document processing and analysis, including intelligent document comparison and summarization.
H2O AI Cloud: An AI platform offering end-to-end machine learning and AI capabilities with flexible deployment options including cloud, hybrid, on-premises, and air-gapped environments.