From document processing to geospatial analysis. Vision transformers and multimodal AI that see what humans miss.
Visual AI systems that extract meaning from images, video, and documents — at industrial scale.
Detect tables, headers, signatures, and stamps in scanned documents. Structure extraction that feeds downstream NLP and data pipelines.
Satellite and aerial image analysis — land use classification, change detection, and object counting at planetary scale.
Real-time object detection, tracking, and event recognition in video streams. YOLO-based pipelines optimized for edge and cloud deployment.
Defect detection, quality control, and classification in manufacturing. Vision transformers that catch what human inspectors miss.
Set up annotation workflows, define class taxonomies, and build labeled datasets. Active learning strategies minimize manual labeling effort.
Vision Transformers, YOLO, or foundation models like SAM — we benchmark options against your specific accuracy, speed, and cost requirements.
Transfer learning, synthetic data generation, and domain-specific augmentation. Get production-quality models with limited training data.
Optimized inference on GPU, CPU, or edge devices. TensorRT, ONNX, and quantization for the right performance-cost balance.
Computer vision is core to our MediaTAI product. We've shipped vision systems for document processing, geospatial analysis, and industrial inspection.
From microscopy to satellite imagery — we've built models across the full spectrum of visual scales and domains.
Our deployment pipeline is optimized for production throughput. Real-time video processing, batch image analysis, or edge inference — we deliver.
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or email directly: fernandrez@iseeci.com