Case Study: a pioneering multi-sensory aerial tracking company achieves 98% accurate video annotation with Innodata

a pioneering multi-sensory aerial tracking company achieves 98% accurate video annotation with Innodata

A pioneering multi-sensory aerial tracking company required 98% accurate video annotation to train its proprietary AI models for tracking physical assets and reimagining global supply chain operations. The key challenge was achieving this high level of precision across numerous assets within video frames. To meet this need, the company partnered with Innodata.

Innodata deployed a large team of 40-50 FTEs working 24/7 to annotate images in near-real time, integrated directly into the client's platform. Through rigorous quality measures like inter-operator confidence scoring, Innodata delivered the required 98% accuracy. This resulted in the client improving its AI engine's prediction capabilities and achieving a higher return on investment.