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AugSandia National Laboratories is helping to advance aviation security by integrating AI into threat detection systems. However, training these AI models requires vast amounts of accurately labeled, multimodal data—especially in specialized formats like DICOS (Digital Imaging and Communications in Security), which is one major file standard used to encode 3D scan data.
Sandia faced key challenges:
MLtwist delivered a fully automated AI data pipeline, optimizing the entire process from ingestion to final structured output:
Following a successful pilot with Sandia National Laboratories, MLtwist secured a $590K contract to process multi-modal AI training data for next-generation aviation security. By delivering a secure, automated, and scalable data pipeline, MLtwist is helping to enhance AI-powered threat detection capacities while reducing operational bottlenecks.
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The Ultimate Guide to AI Data Pipelines: Learn how to Build, Maintain and Update your pipes for your unstructured data