Zetaris | Company Profile - Revenue, Headcount, Tech Stack, Contacts
Contact Information
Industry & Market
Company Metrics
Funding Information
Headcount Distribution
By Department
Department Breakdown
Technology Stack
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Keywords & Focus Areas
Zetaris
Overview
Zetaris is an AI-powered data management and analytics platform founded in 2013, based in Palo Alto, California, with additional locations in San Francisco and origins in Australia. The company specializes in a modern lakehouse solution that integrates structured, unstructured, and streaming data across various environments without the need for data movement or duplication. Their platform enables real-time insights, business intelligence, and AI readiness through query-in-place data integration and governance.
Key offerings include Zetaris Cloud, a SaaS platform for data unification and analytics, and Zetaris Air, a self-managed data machine for real-time analysis. The platform features an AI Data Hub that automates data discovery, preparation, and secure sharing. Zetaris partners with organizations such as IBM, Accenture, and Equinix, serving sectors including healthcare, finance, telecommunications, and government. Its solutions are designed to simplify analytics, reduce costs, and accelerate AI development, supporting organizations seeking to enhance their data capabilities.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2013 |
| Revenue | 8.5M |
| Headquarters | 100 Flinders St, Level 2, Melbourne, Victoria 3000, Australia |
| Languages | English |
Contact Details
- Phone: +61 1300 938 274
- Website: zetaris.com
- LinkedIn: linkedin.com/company/zetaris
Key Focus Areas & Initiatives
- Big data
- Analytics
- Machine learning
- Data analytics
- IoT
- Cloud
- Software
- Data mesh
- Data virtualization
- AI
- Agentic AI
- Data infrastructure & analytics
- Multi-engine routing
- Telecommunications
- Enterprise data platform
- Data management automation
- Low-cost data analytics
- AI-optimized data lakehouse
- Predictive analytics
- Artificial intelligence
- Data governance
- Real-time analytics
- Data governance and compliance
- Media & entertainment
- Data virtualization tools
- Disparate data source integration
- AI data architecture
- Spark, Trino, Presto, DuckDB
- B2B
- Data federation
- Streaming and unstructured data
- Data governance at scale
- Public health data integration
- Query-in-place federation
- Energy grid data management
- Data orchestration
- Operational efficiency
- Federated data platform
- Water utilities
- Edge computing data
- SaaS data integration
- Multi-engine query routing
- AI-native architecture
- AI training and inference
- Multi-cloud data management
- Zero-copy data access
- Healthcare
- Unified semantic layer
- Real-time health data analytics
- Energy
- Cloud data platform
- Services
- Data virtualisation security
- Healthcare data federation
- Lakehouse for AI
- Governance and security
- Cost-efficient data platform
- Finance
- Computer systems design and related services
- Real-time data activation
- Financial data virtualization
- Government
- Business intelligence
- Edge AI performance
- Energy & utilities
- Streaming data
- Governance
- Edge computing
- Enterprise software
- Enterprises
- Computer software
- Information technology & services
- Health care
- Health, wellness & fitness
- Hospital & health care
- Financial services
Technologies Used
- AI
- Android
- Atlassian Cloud
- DoubleClick
- DoubleClick Conversion
- Google Analytics
- Google Dynamic Remarketing
- Google Tag Manager
- Hotjar
- Hubspot
- IoT
- Microsoft Office 365
- Mimecast
- Mobile Friendly
- Outlook
- Remote
- Route 53
- Slack
- Snowflake