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Data quality: Editorially Reviewed
Google Cloud
Language (LLM / NLP)
Financial services
Process automation
Agent & prompt engineering
Telecommunications
Databricks
Government
Data engineering & preparation
Managed AI operations
Workflow orchestration
Implementation Partners
Implementation & integration
Predictive / classical ML
Healthcare & life sciences
ML lifecycle & data
Manufacturing
Speech
Azure
Retail & e-commerce
Agentic / autonomous
Enterprise
Customer support automation

Onix

Implementation & integration

Offered by Onix Networking Corp.

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Overview

Onix calls itself a data and AI company and has been a Google Cloud partner since 2002. Its offerings include AI/ML solutions for process automation, Gemini Enterprise for CX and Google contact-center AI, data analytics and cloud migration, migrate-and-modernize programs, AI-powered managed services, and the proprietary Wingspan 2.0 agentic AI platform with a Semantic Twin intelligence layer. It serves healthcare and life sciences, retail and CPG, public sector, manufacturing, financial services and telecom, media and entertainment, and lists Google Cloud, Databricks and Azure as strategic partners.

Pricing model
On request
Regions served
North America, Europe, India, Singapore
Categories
Google Cloud, Language (LLM / NLP), Financial services, Process automation, Agent & prompt engineering, Telecommunications, Databricks, Government, Data engineering & preparation, Managed AI operations, Workflow orchestration, Implementation Partners, Implementation & integration, Predictive / classical ML, Healthcare & life sciences, ML lifecycle & data, Manufacturing, Speech, Azure, Retail & e-commerce, Agentic / autonomous, Enterprise, Customer support automation
Last updated
7 October 2026
Published
7 October 2026

Use cases

Customer support automation
ML lifecycle & data
Process automation
Workflow orchestration

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
onixnet.com
Sources cited
2
Last reviewed
6 October 2026
Last updated
7 October 2026

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