Custom AI Model Development — Built for Your Edge, Your Data, Your World
Bespoke edge-optimized models with quantization, pruning, knowledge distillation. LLM-at-the-edge for voice agents and on-device NLP.
The Problem
Generic cloud models are too large, too slow, and too expensive for edge deployment. Production AI needs quantization, pruning, and continuous learning.
What We Deliver
Custom Models for NPU Targets
Models optimized for your specific edge hardware
Continuous Learning Pipelines
Models that improve over time with field data
Drift Detection
Monitor and alert on model performance degradation
Field Retraining Framework
Update models without disrupting operations
Technology Stack
PyTorch
Model development
TensorFlow Lite
Mobile and edge deployment
ONNX
Model format conversion
TensorRT
NVIDIA optimization
Knowledge Distillation
Model compression techniques