Case Study: Jellysmack achieves 5x faster AI scaling with Kili Technology

How Jellysmack improved their NLP and Video models’ performance x5

Jellysmack, a rapidly growing social media company with over 300 creators, faced a critical scaling challenge as its exponential growth outpaced its in-house AI capabilities. Its existing solution created bottlenecks for its expanding data science team, which struggled to efficiently handle diverse NLP and video ML use cases. To maintain its agility, Jellysmack needed a solution from a vendor like Kili Technology that would allow its data scientists to work autonomously and scale AI operations rapidly.

Jellysmack implemented Kili Technology as a centralized training hub for all its AI use cases. The platform provided intuitive annotation tools and streamlined collaboration, which made data scientists fully autonomous. This partnership enabled Jellysmack to ship models 2x to 10x faster, achieve 4x-5x better model performance, cut labeling costs in half, and reduce time spent on project management by 50%.

Jellysmack

Andrea Colonna

Head of Data