AI-Powered Dynamic Policy Management for Auto Healing Networks
Client The client is a global leader in network management software, delivering end-to-end network and service management solutions for enterprise, telecom, industrial, and data centre networks. Their platform manages a vast and diverse range of devices across enterprise, cloud, edge, and hybrid environments providing large-scale configuration, monitoring, and remediation capabilities. Problem Statement As networks grow … Read more
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AI-Powered Actionable Troubleshooting for Next-Gen Laptops
Customer A leading technology company in consumer computing, known for pushing the boundaries of user experience through AI-driven innovation. Problem Statement The customer aimed to evolve its existing AI chat-based troubleshooting system. While the earlier version could answer user’s queries using manuals and system documentation, it could not take corrective actions. The next step was … Read more
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AI Framework Unification for Next-Gen Multi-Accelerator Platforms
A leading OEM in consumer and enterprise computing, known for its innovation-driven product roadmap spanning laptops, workstations, and data center servers.
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Parking Management System (PMS) for Real-Time Vehicle Monitoring and Occupancy Detection
As cities & urban centres become denser and vehicle ownership continues to rise, existing parking infrastructures struggle to keep pace. Manual parking management often leads to untracked vacant slots, missed revenue opportunities for operators, and a poor experience for drivers.
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AI-Powered Student Performance Insights for Personalized Learning
Client
The customer is a government education board responsible for overseeing schools and student outcomes across the country.
Enhancing Chroma Encoding Quality in x265 for HEVC Compression
A leading media services company specializing in video mastering, disc authoring, and high-fidelity encoding for UHD Blu-ray™, Blu-ray™, and DVD releases.
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Bidirectional Video Coding Application for Multi-Format Media Handling
This case study focuses on AI-powered Diabetic Retinopathy (DR) detection and the importance of accurate medical imaging in improving diagnostic outcomes. High-speed, expert-validated annotation plays a critical role by providing the precise data needed for reliable scan analysis and early DR identification. The data annotation capabilities ensure the AI model is trained with high-quality information, leading to more accurate and efficient diagnosis.
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MulticoreWare’s Breakthrough in Diabetic Retinopathy – A collaborative success with a Medical R&D organization
This case study focuses on AI-powered Diabetic Retinopathy (DR) detection and the importance of accurate medical imaging in improving diagnostic outcomes. High-speed, expert-validated annotation plays a critical role by providing the precise data needed for reliable scan analysis and early DR identification. The data annotation capabilities ensure the AI model is trained with high-quality information, leading to more accurate and efficient diagnosis.
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Enhancing x265 with HEVC Screen Content Coding
Client One of the largest broadcasting and cable television companies worldwide, delivering premium content across a variety of platforms including live TV, on-demand video, and interactive media services.
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