- Scale AI — a company that delivers high-quality training data for AI applications — announced it raised $155 million in funding at a valuation of over $3.5 billion.
Scale AI — a company that delivers high-quality training data for AI applications like self-driving cars, mapping, AR/VR, and robotics — announced it has raised $155 million in funding led by Tiger Global at a valuation of over $3.5 billion.
“Our team is tackling the next bottleneck in AI development: managing the full life cycle of AI development across teams. Building and deploying scalable machine learning infrastructure is slow, manual and costly, and in August we launched Nucleus to enable seamless collaboration across the AI development cycle. Teams can visualize and organize their datasets, test and compare models, and share data with colleagues,” wrote Wang in a company blog post. “With Nucleus, our goal is to become the mission control for your data, and over time we’ll be rolling out support for more data types and adding more features to make developing AI easier and faster than ever.”
In an interview with CNBC, Scale AI founder and CEO Alexandr Wang said that the company is also breaking even while doubling its annualized revenue run rate year-over-year for the third quarter. Some of Scale AI’s customers include Airbnb, NVIDIA, DoorDash, Pinterest, OpenAI, and GM.
Recently, the company also announced the acquisition of Helia AI. The Helia team is bringing deep expertise in applying AI to real-time video from core algorithm development to AI infrastructure.
