Case studies
Operating evidence from BergLabs delivery decks.
These case studies use the metrics and scope stated in the Decks & Info source material. Proposal-only engagements are labeled as scope, not outcomes.
India's largest e-retail platform
Search pain reduction across high-volume catalog discovery.
Multimodal annotation across text, image, and video; semantic matching for 50K+ terms; catalog cleanup at operational scale. Source deck also reports 98% accuracy against a 93-96% industry benchmark and 35% faster, 25% lower cost than Taskmonk.
India's top travel platform
Property listing quality and booking conversion.
The deck frames this as annotation and quality operations for property content, where listing accuracy directly affects conversion and traveler trust.
India's largest seller aggregator
Seller onboarding and quality-check throughput.
BergLabs used AI-assisted attribute extraction from image and text data, category detection, and a simpler quality-check flow to reduce turnaround time.
Large manual annotation program
Human review plus confidence scoring for faster delivery.
The source deck describes a continuous learning loop where high-confidence items move faster and ambiguous items stay with trained reviewers.
Global payments network engagement
AI-native catalogue operations pilot scope.
The global payments network source deck is an introduction and pilot proposal. It supports capability and pedigree claims, not completed-outcome claims.