Real-World Impact
Read the latest & trending studies from the world of crowdtesting platform Oprimes. India's largest crowdtesting SaaS platform.
Gen AI
AI that's been tested in the real world
Hallucination, drift, domain accuracy: the hardest AI problems, solved with human validation at scale.
Human-in-the-Loop Validation & Optimization of a Multilingual Banking Conversational AI Voice Agent
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Precision and Scale: The Human-in-the-Loop Model for Flawless Multilingual Video Localization
Summary This Multilingual Localization Case Study highlights the critical role of a Human-in-the-Loop framework in elevating automated video translations to...
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Precision and Scale: The Human-in-the-Loop Model for Flawless Multilingual Video Localization
Summary This Multilingual Localization Case Study highlights the critical role of a Human-in-the-Loop framework in elevating automated video translations to...
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Boosting Multilingual LLM Accuracy: From Cultural Nuance to 93% Pass Rates
SUMMARY We executed two distinct multilingual GenAI activities. The first was an LLM evaluation, where we assessed the performance of...
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Reducing Bias in Face Recognition AI Across 25+ Countries
SUMMARY To enhance AI-based facial recognition, Oprimes collected over 120,000+ diverse face images from 25+ countries and 50+ device types....
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From Diverse Accents to Production-Ready AI: Oprimes' Hindi Voice Data Collection
SUMMARY Oprimes partnered on a voice data collection project to train virtual assistants in understanding Hindi. The team delivered 150...
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How Real-World Document Data StrengthenedAI Identity Verification in Switzerland
SUMMARY Oprimes supported a leading identity management client in Switzerland by collecting and annotating real-world identity document data to train...
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25,000 Frames, Zero Faces: How Oprimes Enabled Privacy-First Hospital Personnel Detection AI
SUMMARY A hospital surveillance AI project aimed to identify and track personnel across 25,000 image frames without using facial recognition....
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