The AI Data Problem We’re Not Talking About
(And How MLtwist is Solving It)

AI’s biggest bottleneck isn’t compute power. It’s data.

Even the best AI models struggle to attain optimal performance without high-quality, labeled data. Yet, most companies struggle to scale their data pipeline—delaying production, increasing costs, and limiting model performance.

At MLtwist, we’re tackling this challenge head-on.

We recently explored what it really takes to solve AI’s data bottleneck, at scale, with Stage 2 Capital Catalyst LP Sean Po. (Editor’s note: MLtwist had the privilege of participating in Stage 2 Capital’s 2023 Capital Catalyst cohort.)

Want to take a closer look at how MLtwist is helping businesses and organizations mine gold from their data and turn it into high-performing AI models? Check out the full conversation over at the Stage 2 Capital blog.