The company said on Wednesday that it has raised $8 million in a Series A funding round led by Carbide Ventures.
“Most of our customers need vast amounts of real-world data to train AI models,” co-founder and CEO Charles Wong said in an exclusive interview with TechCrunch. “This often means they would have to deploy fleets of robots across hundreds of locations, collect millions of hours of footage, manually label the data, and implement rigorous quality checks to reduce human errors and bias. This approach is brutal. It costs millions, takes years, and proves nearly impossible to scale.”