Nexxa builds specialized AI agents targeting industrial engineers in railroads, energy, construction, and mining—sectors where fragmented legacy tech stacks slow down critical repetitive work. The stack is deep in ML infrastructure (PyTorch, TensorFlow, TensorRT, ONNX, DeepSpeed) and computer vision (CLIP, Vision Transformers, OpenCV), with all 9 active roles filled by senior engineers, suggesting a lean, technical-first team focused on shipping production systems rather than sales motion.
Nexxa is a 2024-founded startup building AI agents that augment industrial engineers in heavy project industries. The platform targets engineers in railroads, energy, construction, and mining who operate within outdated or fragmented technology environments. Their approach centers on custom AI solutions that understand domain-specific engineering work—object detection, real-time inference, multimodal reasoning—without requiring engineers to pre-train models. Current work includes real-time inference systems, object detection and tracking, and custom generative AI solutions for manufacturing customers, with presence across US and Germany hiring.
Nexxa's stack includes PyTorch, TensorFlow, TensorRT, CLIP, Vision Transformers, OpenCV, JAX, and DeepSpeed for training and inference. They also use ONNX and OpenVINO for model optimization, and Ray + Lightning for distributed ML workflows.
Current projects span real-time inference systems, object detection and tracking, multimodal LLM/VLM integration, custom AI solutions for manufacturing, and large-scale ML training workflows. Focus is on generative AI and computer vision solutions for industrial engineering customers.
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