Read detailed case studies outlining how our high-precision data workflows have driven accuracy, fluency, and business outcomes.
A global AI research consortium required synchronized RGB video and IMU motion data at sub-1ms latency. GRAP Solutions sourced 100,000+ hours of first-person head-mounted manual task recordings across diverse residential and commercial settings.
An enterprise LLM developer needed high-fidelity private C++ repositories to train code-generation systems. We acquired and delivered 1 billion net code lines, fully scrubbed of PII, malware, and active secrets with verified provenance.
Uber required onsite verification of business statuses and operating hours across Jaipur, Lucknow, and Kanpur. We deployed shift-based field operations teams to physically verify, photograph, and submit 80,000 locations.
For facial recognition and safety training, a security developer commissioned demographic-diverse facial datasets. Sourced 20-image face mask sets (surgical & cloth) from thousands of participants across 9 global regions.
An identity verification provider needed to model facial aging patterns. GRAP Solutions collected 15-image chronological facial sequences per participant spanning up to 5 years, documenting natural aging across diverse groups.
To train virtual call models, a messaging client needed natural front-camera recordings. Sourced and delivered 500 original, consent-backed selfie-style video clips (raw 720p 9:16 portrait) with detailed demographics metadata.
To train diagnostic and security models investigating palm print features and occupational dermatoglyphics, we sourced 12-image palm print datasets (left/right palm, front/back camera) from verified participants.