Welcome to Rooster®

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.

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Some of our clients

CazeTVManual do MundoGE TVRede Globo
CazeTVManual do MundoGE TVRede Globo
CazeTVManual do MundoGE TVRede Globo
CazeTVManual do MundoGE TVRede Globo

Control Room

Rooster Control Room transforms any live stream into an intelligence-driven operation.

Real-time analysis
Smart alerts
360° broadcast view
Audience sentiment

Trending Topics

What's exploding in the broadcast – updated every second.

Highlighted Comments

Comments that impact your broadcast appear automatically.

People Ask

Everything the audience is asking the broadcast team.

Questions

AI cleans the chat, removes noise, and organizes real audience questions without clutter.

Chat (Clean and Organized)

The comment flow as it should be: readable. No spam, no flooding.

Control Room

Sponsor Insights

Intelligence for brands — in real-time. Sentiment, volume, context, and activation.

Time Batching

The live timeline, divided into smart blocks.

Drill-down

Total transparency: click and see the comments that generated each insight.

WhatsApp Stream

The most important insights, sent directly to the team's WhatsApp.

X (Real-Time)

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.

Who are we?

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.

Tarik Hadi

Tarik Hadi

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.

Ramon Schmidt

Ramon Schmidt

Founder & CTO

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

Bruno Albuquerque

Bruno Albuquerque

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.

Carlos Dietrich

Carlos Dietrich

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.

João Comba

João Comba

Academic Researcher and Development

PhD from Stanford, postdoc at the University of Utah. Guides Rooster's scientific direction and advanced research initiatives.

We are a deeply technical company

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.

Best of both worlds

State-of-the-art in NLP + Machine Learning

Eye on social media

Simultaneous integration: YouTube + Twitter/X

Understands the audience

Understands patterns, emotions, questions, mentions, problems and more!

Stay ahead

Everything in real-time, without noise

Start today.

It's simple, just schedule a demo with us.

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