Engineers first.
Software developers second.
We don't believe in massive consulting slide decks. We believe in Python scripts, PyTorch models, and PLC integration that actually works on the shop floor.
The TyrolAI Mindset
Pragmatism over Hype
No blockchain, no general AI. Just deep learning models trained specifically for your exact industrial bottleneck.
Edge Native
Factory data stays in the factory. We deploy everything on local IPCs for zero latency and absolute data security.
Seamless Integration
AI models are useless if they don't talk to your machines. We build robust OPC-UA bridges to your Siemens & Beckhoff PLCs.
Our Arsenal
We use the same open-source frameworks powering global tech giants, strictly tailored and compiled for maximum industrial performance.
PyTorch & TensorRT
Hardware-accelerated AI inference
Docker & Kubernetes
Containerized deployments on Edge IPCs
Python, C++ & Rust
Maximum performance where it matters
import torch
import tensorrt as trt
# Load industrial vision model
model = torch.jit.load("tyrolai_defect_detector.pt")
# Optimize for NVIDIA Jetson Edge
engine = trt.Builder(trt.Logger(trt.Logger.WARNING))
network = engine.create_network(1 << int(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH))
# Ready for sub 15ms inference
print("TyrolAI Edge Node initializing...")