Worlds is an AI platform company based in Dallas, Texas, that enables businesses to automate their daily operations by leveraging video cameras and sensors. Through its advanced artificial intelligence capabilities and flexible architecture, Worlds helps enterprises capture, analyze, and automate physical processes across their operations, delivering actionable insights and operational efficiencies.
The Worlds platform integrates with existing video and sensor infrastructure to collect real-time data from physical environments. It uses AI-driven models to process this data, enabling companies to monitor operations, detect anomalies, and drive automation at scale. By transforming visual and sensory inputs into digital workflows, Worlds supports a wide range of enterprise challenges, from safety monitoring to process optimization.
Who Uses Worlds?
Worlds serves large enterprises and organizations seeking to modernize their operations with AI and automation. Notable customers include:
- Accenture
- Chevron
- Microsoft
- Metallus
- Slalom
- CACI
- Werner
- NRT
These clients span industries such as energy, technology, consulting, manufacturing, and logistics, illustrating the platform’s versatility across sectors.
How Was Worlds Started?
Worlds was founded by a team with deep expertise in AI, data science, and technology startups:
- Dave Copps (CEO / Co-Founder): A futurist and technologist who has previously founded and sold two technology companies.
- Chris Rohde (President / Co-Founder): An AI and machine learning enthusiast, also a co-founder of Brainspace.
- Ross Bates (CTO / Co-Founder): Specializes in integrating and understanding large, diverse data sets, with prior experience founding and selling Key Ring, a mobile shopping company.
- Kristin Curreri Frost (CFO): Brings financial leadership to the founding team.
You can learn more about their background and company vision on their About page.
What Makes Worlds Different?
Worlds distinguishes itself through the ability to unify data from multiple cameras and sensors, applying AI to create a real-time, digital model of physical operations. This approach provides customers with tools to automate processes, improve safety, and optimize performance without heavy investments in new hardware.
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