Case studies
Achieving Frame-Level Precision in Video Annotation
Converted continuous video into consistent AI training data through frame-level temporal segmentation.
Paired-Image Annotation for Generative AI: Clearing a 98% Acceptance Bar
Produced high-density paired-image annotation with 5-pixel precision to create consistent training data for generative AI.
Audio AI Annotation for a Premier Gaming Studio: Scaled Output by 294%
Prepared 629.5 hours of conversational audio in 30 days while maintaining 99% accuracy and zero rework.
Multilingual Banking AI: Achieving 96%+ Dataset Accuracy
Captured multilingual banking conversations across dialects and code-switched speech for AI training.
Gaming Audio Annotation: Structuring Speech Cues at 95%+ Accuracy
Turned emotion, accent, demographic, and speech cues into structured training data for adaptive game AI.
Freight Document Labeling: 20M+ Tasks for Transportation Spend AI
Labeled freight invoices and shipping documents across 80+ task types to improve transportation spend AI accuracy.
Taming Workflow Chaos in Generative Design Data
Curated 200,000+ vector images across diverse art styles with 96% data accuracy for faster generative AI model training.
Turning mission-critical data into waste intelligence
Accelerated waste recognition AI by delivering 1 million high-accuracy, compliance-ready annotations monthly through expert-driven workflows and rapid data turnaround.
Solving cross-border talent gap for medical annotation across SEA
Mobilized qualified medical professionals across multiple countries in Southeast Asia to power an AI model for thyroid diagnostics, bridging the gap between clinical expertise and machine learning needs.
Screening UI experts to tackle AI talent noise
Identified and recruited UI designers through custom screening to generate high-fidelity training data for design-to-code AI.
Solving language blind spots with culturally fluent AI
Engaged multilingual Asian talents to capture local language and cultural nuance, accelerating high-accuracy training for an AI communication model.
Enhancing high-stakes autonomous systems with contextual fidelity
Enabled precise and context-appropriate recognition in an autonomous driving system through custom data labeling and AI annotation process.
Driving rapid throughput of validated data to power global agri-tech
Designed an extensible AI annotation verification infrastructure for the client's data labeling team to meet high demands and seasonal surges.
Orchestrating in-depth classification for structural complexities in oil and gas
Enabled effective AI model deployment with an expert-processed and validated data pipeline in an intricate environment.
Enriching the retail experience with pixel-perfect semantic segmentation
Improved the precision in augmented reality (AR) for the footwear segment of the client's AR garment try-on tech platform.
Optimizing mobile screen taxonomy for always-evolving UI
Accelerated AI model training and deployment by ramping up classification efforts across hundreds of categories with a custom data labeling workflow.
Championing STEM progress through linguistic accessibility
An initiative to build a bilingual dataset that challenges AI to reason more effectively in the fast-evolving world of STEM.