SAGEMCOM Brazil selects OpenAI GPT-4 for Generative AI Platforms
In 2025, SAGEMCOM Brazil, a Brazil based Communications organization with 100 employees and revenues of $10M selected OpenAI GPT-4 for Generative AI Platforms while displacing Legacy, and integrating with the existing systems being used.
| Customer | Vendor | Old Product | New Product | Category | Market | Users | VAR/SI | When | Live | SAGEMCOM Brazil | OpenAI | Legacy | OpenAI GPT-4 | Generative AI Platforms | AI Development | n/a | n/a | 2025 | 2025 |
|---|
Discover the latest software purchases and digital transformation initiatives being undertaken by SAGEMCOM Brazil and its business and technology executives by accessing the entire SAGEMCOM Brazil and its business and technology executives by becoming a Premium Subscriber. On a continuous basis, our research team identifies and updates the on-prem and cloud applications that are being used by SAGEMCOM Brazil employees from publicly available data (Press Releases, Customer References, Case Studies, Success Stories, Testimonials, RFP, RFI, etc.) as well as proprietary sources, and incorporate them into the customer profile.
Don't miss the entire: SAGEMCOM Brazil Technographics profile
FAQ - SAGEMCOM Brazil selects OpenAI GPT-4 for (Generative AI Platforms)
In 2025, SAGEMCOM Brazil selected OpenAI GPT-4 for Generative AI Platforms to modernize their AI Development operations and improve scalability, visibility, and control.
The OpenAI GPT-4 deployment replaces Legacy and integrates with existing systems to streamline processes, reporting, and compliance across AI Development.
SAGEMCOM Brazil is a Communications organization in Brazil, with approximately 100 employees and $10M in annual revenue.
SAGEMCOM Brazil has initiated the OpenAI GPT-4 implementation with an expected go-live in 2025, supporting its modernization of Generative AI Platforms processes.
SAGEMCOM Brazil has not disclosed the SI for the OpenAI GPT-4 implementation.
Subscribe to APPS RUN THE WORLD to view the verified software purchases, implementation timelines, and related deployments.