PHRASE PARTNER

A new way to LQA
uber.com/us/en/ai-solutions/
SNAP: Scaling Multilingual Quality with GenAI
The enterprise-grade solution for automated Linguistic Quality Assurance (LQA).
Originally developed by Uber to manage global operations, SNAP is now available to the public. It leverages generative AI to identify linguistic, layout, and internationalization issues across mobile and web applications with unprecedented speed and accuracy.
Core Capabilities:
- GenAI-Powered Automated Testing: Scale your LQA instantly. SNAP identifies bugs that traditional automation misses, specifically focusing on linguistic nuances, UI layout breaks, and internationalization (i18n) errors.
- In-Depth, Actionable Reporting: Don’t just find bugs – understand them. Receive comprehensive data sets paired with qualitative feedback on the localized user experience to drive better product decisions.
- Human-in-the-Loop Validation: We combine AI efficiency with human expertise. Experienced testers validate SNAP’s findings, creating a feedback loop that trains the model on your specific brand voice and content.
Locations
Global with offices in US, LATAM, APAC, MENA and Europe
All locations here: https://jobs.uber.com/en/locations/
Services offered
- Data Collection: Aggregating raw data from various sources, including structured, unstructured, and real-world data streams for AI training or other use-cases
- Data Annotation: Training and refining customer’s AI model development through customized data labeling and annotation services.
- Localization & LQA: Helping customers automate up to 80% of their translation and localization processes through AI deployments & human in the loop services
- Testing: Providing end-to-end user testing for (multilingual) applications
Credentials
ISO 27001, SOC 2
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