Beyond Annotation Tools.

Legacy platforms built around cloud-centric annotation workflows weren't designed for the autonomy era. AlpEye is built ground-up for AI agents and mission-critical latency requirements.

Legacy Platforms

Old Paradigm
✗Manual annotation workflows with human-in-the-loop labeling bottlenecks
✗Static models deployed once, stale immediately after deployment
✗No native agent framework, models are tools, not autonomous decision-makers
✗Single-purpose: object detection or segmentation, never unified pipeline
✗No mission profile system, one model for every context
✗Security and defense use cases unsupported or explicitly excluded

AlpEye Platform

AI-Native
✓AI Agents handle data curation, auto-labeling, training and validation autonomously
✓Dynamic model hot-swapping, models update in milliseconds without restart
✓Multi-agent orchestration: perception, reasoning, action, and adaptation agents work in concert
✓Unified multi-task backbone: detection, segmentation, tracking, pose one model, all tasks
✓Mission profile engine: auto-selects optimal model configuration per use case and environment
✓Defense-grade architecture with air-gapped operation and secure model transfer protocols
PyTorch Edge Runtime ONNX Optimization TensorRT Acceleration NVIDIA Jetson Qualcomm AI Hub ARM Ethos NPU RISC-V AI Cores Vision Transformers YOLOv10 / RT-DETR SAM2 Segmentation Sparse Neural Networks Knowledge Distillation Neural Architecture Search PyTorch Edge Runtime ONNX Optimization TensorRT Acceleration NVIDIA Jetson Qualcomm AI Hub ARM Ethos NPU RISC-V AI Cores Vision Transformers YOLOv10 / RT-DETR SAM2 Segmentation Sparse Neural Networks Knowledge Distillation Neural Architecture Search