Verbose TechLabs LLP
Licensed LLM Data Provider
Get In touch with Verbose TechLabs LLP
Details
Location
Pole No. 44, B-17, Mahavir Enclave, Palam Colony, New Delhi
Joined
09/06/2026
Response time
Instant
Not Provided
About
Verbose TechLabs LLP is an AI data services and technology company with over 10 years of development expertise and a specialized focus on large-scale egocentric and first-person POV data collection. We support AI companies, research teams, and technology platforms with high-quality real-world datasets for training advanced computer vision, multimodal AI, embodied AI, robotics, spatial intelligence, and human activity recognition models.
Over the last 2 years, we have expanded our egocentric data operations significantly, supporting 25 projects and delivering approximately 450K+ hours of real-world POV data across diverse activities, environments, demographics, and task scenarios. Our capabilities cover daily living activities, indoor and outdoor navigation, human-object interaction, hand-object manipulation, workplace tasks, household tasks, mobility scenarios, multi-view recordings, robotics-relevant actions, and scenario-based data collection.
We provide end-to-end dataset support, including participant sourcing, field coordination, device setup guidance, consent management, metadata collection, raw video collection, data validation, annotation, quality assurance, and delivery-ready dataset preparation. Our annotation capabilities include object-level tagging, action labeling, temporal segmentation, frame-level review, event-level classification, activity taxonomy mapping, and multimodal metadata structuring.
Verbose TechLabs follows a structured, multi-layer QA framework to ensure dataset quality, consistency, compliance, and usability. Our review process checks video stability, lighting, framing, activity compliance, completeness, metadata accuracy, annotation consistency, and final AI-readiness. With scalable operations, trained contributors, field coordinators, QA reviewers, and annotation teams, we are positioned to handle high-volume data collection programs with controlled timelines and enterprise-grade execution standards.

