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Azalea Robotics automates airport baggage handling with intelligent robot operations. The global market for airport baggage handling systems is $20+ billion and growing, presenting a significant opportunity for innovation and market disruption in this sector. Passenger air traffic volume is increasing, driving demand for efficient and reliable baggage handling at airports and putting immense pressure on existing infrastructure. In 2023 alone, airports processed approximately 4.5 billion bags, highlighting the need for advanced solutions to manage this load effectively. Azalea Robotics provides state-of-the-art robotic systems that enhance efficiency, reduce mishandling, and improve passenger experience through more reliable operations. Baggage handling is a critical component of airline ground operations, yet it is fraught with challenges. The work is physically demanding, often leading to long-term injuries among workers. Traditional baggage handling involves repetitive lifting and maneuvering of heavy loads, which can result in long-term health issues. Azalea Robotics addresses these challenges by automating the most strenuous tasks, thereby reducing the risk of injury and enhancing operational efficiency.

Battle-tested + highly modular vision infrastructure to convert PDFs, PPTs, Word, Excel, PNG, and JPEGs into LLM-ready data. We started by building lumina.sh - where we needed to parse ~600M pages of scientific literature. The researchers didn't care - but devs wanted our ingestion pipeline. So we built chunkr instead. We offer high quality layout analysis, OCR, bounding boxes, granular VLM controls, semantic chunking, and all the last mile engineering that goes into building standout AI applications. Common use-cases include RAG, and automating document workflows like invoices/medical reports -> database.