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Overview
Shaip's AI Data and Generative AI Platform delivers powerful solutions for your AI projects, from traditional machine learning to advanced generative AI, all supported by industry experts.
News
Why Multilingual Speech Data Is Critical for Global AI
Download Infographics Your voice model works beautifully in the demo. Then it meets a real user - someone with a Scottish accent, ordering in Hinglish, from a moving car - and the transcript falls apart. This is the uncomfortable truth of voice AI in 2026
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Shaip scales single Physical AI collection program to 5,000 valid hours per month
Shaip has scaled a single ongoing Physical AI data collection program to 5,000 valid hours of egocentric VR motion capture per month. The program supports a humanoid robotics developer and runs on a recurring monthly cycle, covering 300 to 400 tasks acros
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Report
The Future of Data Annotation 2026 & Beyond
Automation won't replace annotators. It will empower them. Data annotation is evolving from "labeling work" into AI data operations: higher judgment, stronger governance, tighter evaluation loops, and more sophisticated human-in-the-loop systems. Automati
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OCR in 2026: How AI Turns Any Document into Data It Can Act On
OCR is a technology that allows machines to read printed text & images. It is often used in business applications, such as digitizing documents for storage or processing, & in consumer applications, such as scanning a receipt for expense reimbursement.
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What is NLP? How it Works, Benefits, Challenges, Examples
Discover our NLP infographic: Learn how it works, explore benefits, challenges, market growth, use cases, and future trends in Natural Language Processing.
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Synthetic vs Real-World Data for Robotics: Which to Buy for Your Physical AI Project
In physical AI, the model is rarely the bottleneck - the data is. A robot policy that runs flawlessly in a demo and then stalls in a live warehouse almost always fails on the data it never saw, not the architecture. That puts a budget question in front of
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