PyTorch
The deep learning framework behind our model training and inference
What It Is
PyTorch is an open-source deep learning framework used to build, train, and run neural networks from computer vision models that detect objects in a video frame to the models behind modern generative AI. It's the framework most current AI research ships in first, which matters when a project needs to adopt a technique within months of it being published, not years.
Why It Matters
Framework choice affects more than developer convenience it determines how easily a model can be debugged, optimized for inference latency, and deployed close to where the data lives (on a server, at the edge, or in a mobile app). PyTorch's flexibility makes it well-suited to custom model work rather than only pre-packaged, off-the-shelf pipelines.
How TieTech Uses It
We use PyTorch for computer vision and custom model work where an off-the-shelf API doesn't fit the problem the person-detection pipeline behind our meeting room occupancy analytics project is exactly this kind of case, where the model needs to run against a live stream and produce tracked, confidence-scored detections in near real time.
