A local startup could hold the key to the next big advancement in artificial intelligence.
Worlds, a Dallas-based company focused on “developing AI for the physical world,” has revealed Worlds NQ, a platform designed to leverage AI to manage the physical world.
Also known as “infinite intelligence,” the platform continuously adapts to dynamic environments, like distribution centers, using existing cameras and sensors. The platform can rapidly identify and account for items in a physical environment, whether people, boxes, pallets, or anything else.
Worlds NQ is unique because it does not rely on manual updates, a feature that plagues traditional AI systems. Instead, Worlds NQ autonomously updates models in real time using the company’s data without human intervention.
When he saw it for the first time, Worlds co-founder Dave Copps said he “got goosebumps.”
“This was what I call a 5G moment. 5G moments in startups are where you see something, and all you can do is look in each others’ eyes and just say, ‘Go, go, go, go, go!’” said Copps, per Dallas Innovates.
“Worlds NQ is the worlds fastest AI model creation platform in the industry. Accelerate turnaround times from months to mere days by automatically segmenting, clustering and amplifying your training data — Making human error a thing of the past,” reads a description on the company’s website.
The little-known company has begun to receive industry recognition, ranking in the top five of the Tech Titans Fast Tech 50. Worlds has also secured partnerships with big names like Accenture and Chevron.
Large Language Models (LLMs), like those on which OpenAI’s ChatGPT relies, have made significant progress in the past few years.
While they can effectively interpret text, images, and sounds, they cannot understand dynamic scenarios. On the other hand, the Worlds’s Large World Model (LWM) was designed to work with data pulled from cameras and sensors, helping businesses assess operations in real time.
The new tech will enable businesses to avoid employing large teams of AI trainers needed to manage AI models. Instead, Worlds NQ can operate unsupervised and much faster. Worlds say the platform can accelerate AI learning by as much as 1,000 fold.
According to Copps, currently available solutions limit AI systems to focusing on predetermined objects or concepts.
“They ask, ‘What are the three or four things you want to know about cars, trucks, and people?’… And they train on cars, trucks, and people—they draw boxes of cars, trucks, and people. But … when you say, ‘No, I also need to know about dogs,’ they have to start over. Now they’ve got to go through all the videos and learn.”
Instead, Copps says that NQ produces an index of existing items.
“So when you decide that dogs are important, boom!—it’s already indexed. Put in your models and go. So it’s a radically faster solution. Months become minutes,” Copps said.