Case studies
Discover our customer-first approach to our clients’ unique, challenging, and large-scale data sourcing and annotation projects.
A global AI client needed to fix unnatural speech outputs, using high-fidelity human evaluation of complex voice data.
A leading AI team needs consistent human evaluation of user intent — across ambiguous, multilingual inputs at production scale.
A frontier AI lab needs to benchmark model performance across tasks and versions — with human evaluation that reveals what automated tests miss.
A frontier AI lab needs high-agreement side-by-side evaluations across text, voice, and video — fast enough to keep pace with daily model iteration.
A leading AI team needed to evaluate model performance across text, audio, and video — and surface subtle failure modes at scale.
For a complex and detailed audio description project from a leading global technology company, Sigma’s specialized skills in sourcing, vetting, and training annotators were essential.
