H2O.ai Tech Stack

Enterprise GenAI platform converging generative and predictive AI on private data

Software Development Mountain View, CA 201–500 employees Founded 2012 Privately Held

H2O.ai builds a platform for enterprises to deploy GenAI applications on their own infrastructure—combining generative and predictive AI with a focus on sovereign, compliant deployments. The company is sales-led (18 open roles vs. 11 engineering), signaling enterprise-heavy GTM, while simultaneous investment in LLMOps, multi-agent frameworks, and reference architectures indicates they're shifting from experimentation toward production accountability. Stack adoption across AWS, Azure, GCP, and Snowflake reflects a cloud-agnostic, infrastructure-flexible positioning.

Tech Stack 43 technologies

Core StackSAP S/4HANA NetSuite Bill.com Expensify Snowflake AWS RAG Kubernetes Terraform Ansible CloudFormation Helm Python JavaScript PyTorch FastAPI React Next.js Ariba Navan Concur Ramp NVIDIA Dell Technologies VAST Data MinIO GCP Azure Kaggle Oracle Cloud+12 more

AdoptingAWS Snowflake Databricks Azure GCP NVIDIA Dell Technologies

What H2O.ai Is Building

◆Challenges

Demonstrating roi for ai
Adopting ai solutions
Scaling ai solutions across cloud
Moving from ai experimentation to ai accountability
Complex enterprise problems
Designing scalable ai architectures
Production ml pipelines
Complex enterprise buying motions
Competing against incumbents
Scaling partner ecosystem

▲Active Projects

Llm-powered applications with rag
Custom ai/ml/genai solutions for industry verticals
Agentic ai systems and multi-agent frameworks
Reference architectures and deployment strategies
Net-new logos and expansion opportunities pipeline
Multi-year strategic account plans
Ml pipelines and llmops infrastructure
Design and build multi-agent agentic workflows
Reference architecture deployment
Agentic ai systems for enterprise workflows

Hiring Activity

Accelerating35 roles · 15 in 30d

Department

Sales

Engineering

Finance

Data

Marketing

Seniority

Senior

Mid

Director

Manager

Principal

Notable leadership hires: Strategic Account Director

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About H2O.ai

H2O.ai develops an open-source and commercial platform for building enterprise GenAI applications that combine generative AI with predictive analytics. The company targets Fortune 500 enterprises and public sector agencies seeking to deploy AI on private infrastructure with strict data governance. Founded in 2012 and headquartered in Mountain View, H2O.ai operates at 201–500 employees with a global hiring footprint (US, Canada, Australia, Sri Lanka, India, Pakistan). The platform serves over 20,000 organizations and is reinforced by a community of 2 million data scientists.

HeadquartersMountain View, CA

Company Size201–500 employees

Founded2012

Hiring MarketsUnited States, Sri Lanka, Canada, India, Australia, Pakistan

Frequently Asked Questions

What tech stack does H2O.ai use?

H2O.ai runs on Python, PyTorch, and FastAPI for core ML; orchestrates via Kubernetes, Terraform, and Helm; uses AWS, Azure, GCP, and Snowflake for infrastructure; and integrates NVIDIA, Dell Technologies, and VAST Data for compute and storage.

What countries is H2O.ai hiring in?

H2O.ai is actively hiring across the United States, Canada, Australia, India, Sri Lanka, and Pakistan, with a senior-heavy hiring profile (22 of 36 open roles at senior level or above).

How this profile is built

H2O.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.