// CASE STUDIES

What we've shipped.

From egocentric video to model evaluation — real projects, real numbers.

Showing 12 case studies

Hours of street-level footage enriched with AI detection

AI-Powered Infrastructure Monitoring from Municipal Dashcam Fleets

75+ hours of geo-tagged dashcam footage captured, enriched with automated bounding box detection across 10 infrastructure defect categories, and deployed as the training foundation for a real-time model that flags potholes, cracked roads, and damaged signs from routine municipal patrols.

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Robotics

Workplace categories captured on-site

Workplace Egocentric Video Data for General-Purpose Robotics

First-person video captured across 10 real workplace categories — barista stations, carpentry shops, tailoring studios, and more — turning active businesses into a scalable, cost-efficient source of robotics training data.

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Data Collection

386K+

First-person video clips captured

Egocentric Video Data Collection for Robotics and World Modeling

386K+ first-person video clips captured across three parallel pipelines — GoPro, smartphone, and activity-specific — with same-day QA and weekly delivery batches feeding the lab's training runs in real time.

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Video

1.07M+

Cross-segment identity verifications

Preserving Object Identity Across Video Time

1.07M+ cross-segment identity verifications — pairing objects across video time using bounding boxes, facial keypoints, and human validation to teach models identity persistence despite viewpoint, motion, and lighting changes.

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Annotation

976K+

Human quality assessments delivered

Video Quality Annotation at Scale for RLHF and Model Selection

976K+ human quality assessments across four evaluation dimensions — motion quality, visual fidelity, viewer interest, and text-to-video alignment — powering RLHF training and model selection for a frontier video generation lab.

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Annotation

105K

Video clips classified in 7 days

High-Confidence Video Content Classification at Scale

105,000 video clips classified in just seven days — after rapidly redesigning the annotation framework mid-project to eliminate subjectivity and deliver zero downstream rework.

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Evaluation

39K

Pairwise human evaluations completed

Human Evaluation of Video Generation Model Configurations

39,000 pairwise human evaluations across 51 model configurations — replacing uncertain aggregate metrics with statistically defensible ELO rankings for text-to-video, image-to-video, and video-to-video.

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Evaluation

180

Prompts benchmarked across modalities

Benchmarking Prompt Enhancement Quality Across Leading LLMs

180 prompts benchmarked across text and video generation — replacing guesswork with large-scale human evaluation to identify the best prompt enhancement solution for production.

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Fashion AI

3M+

Fashion images annotated

Large-Scale Image Annotation for Fashion AI

Deployed 1,000+ trained annotators to label 3M+ fashion and lifestyle images with structured taxonomy and multi-layer QA — materially improving model robustness and recognition accuracy.

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Gaming

10,000+

Hours of synchronized gameplay data

Game-Based Data Capture for Real-World Simulation

10,000+ hours of synchronized gameplay footage and raw timestamped control data — captured with a custom solution built from scratch because no off-the-shelf tool existed.

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Safety

241K+

Safety annotations completed

Scaling Generative AI Safety Through Human-Led Data Labeling

241,000+ safety annotations across text and video — validating content moderation pipelines and delivering defensible evidence of safety performance for audits and governance.

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Safety

<2%

Output rejection rate with full safety coverage

Building and Red-Teaming an AI Content Moderation System

Designed, calibrated, and stress-tested a production content moderation system — achieving sub-2% rejection while maintaining safety coverage across all AI products.

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