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Bengaluru startup BLUE launched Semantic Video Data Lake, achieving 90% compression on CCTV feeds by...
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The article introduces a new player in the specialized data infrastructure space by applying semantic compression to video streams, a niche application of data preparation and retrieval.
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Bengaluru startup BLUE launched Semantic Video Data Lake, achieving 90% compression on CCTV feeds by extracting structured meaning instead of raw pixels. This targets the $14B+ video surveillance storage market, enabling video queries like databases. The bootstrapped 43-member team led by IIT Bombay alumnus Kunal Kislay transforms video into actionable intelligence. With storage costs growing 12%+ annually, semantic compression could reshape enterprise CCTV infrastructure.