We're building the global AI layer for sports - redefining broadcasting through real-time contextual content and next-level interactivity, leveraging Generative AI and Deep Learning.
Rooster Control Room transforms any live stream into an intelligence-driven operation.
What's exploding in the broadcast – updated every second.
Comments that impact your broadcast appear automatically.
Everything the audience is asking the broadcast team.
AI cleans the chat, removes noise, and organizes real audience questions without clutter.
The comment flow as it should be: readable. No spam, no flooding.
Intelligence for brands — in real-time. Sentiment, volume, context, and activation.
The live timeline, divided into smart blocks.
Total transparency: click and see the comments that generated each insight.
The most important insights, sent directly to the team's WhatsApp.
Track everything going viral on X during the broadcast.
Globo, CazeTV and other leaders use Control Room to transform broadcasts into data-driven operations. Less guesswork. More precise decisions. Better results.
Rooster is a sports tech building the AI Layer for Sports — the intelligence layer that brings together broadcasts, digital platforms, statistics, narratives and fans in real-time.

Founder & CEO
Data Scientist and MSc in Computer Science from UFRGS. Leads Rooster's vision and strategy to help customers turn data into real impact.

Founder & CTO
Software Engineer and IT specialist. Responsible for Rooster's architecture and scalability, ensuring reliability across all products.

Founder & Chief of AI
Data Scientist with an MSc in Computer Science from UFRGS. Leads the development of the AI models and pipelines that powers Rooster.

Data Scientist
PhD in Computer Graphics. Worked as a Research Scientist at NYU and Major League Baseball, contributing to the development of what became MLB's Statcast system.

Academic Researcher and Development
PhD from Stanford, postdoc at the University of Utah. Guides Rooster's scientific direction and advanced research initiatives.
We use state-of-the-art AI and deep learning, we follow scientific literature daily, and we apply the most recent advances in generative models, computer vision, NLP and machine learning directly to our products.
State-of-the-art in NLP + Machine Learning
Simultaneous integration: YouTube + Twitter/X
Understands patterns, emotions, questions, mentions, problems and more!
Everything in real-time, without noise
It's simple, just schedule a demo with us.