Design: Predictable
ML Every Time
Powerful tools that help you choose the best model-hardware combination and fine-tune it to meet your data, performance, and device requirements.
What is a recipe?
Recipes are a library of benchmarked and ready-to-execute configurations that combine model and device optimization on your data into a repeatable process.
Simple, quick model design
Eliminate the guesswork of selecting, optimizing, and testing model-hardware combinations.
You define performance, inference speed, and memory footprint and select a benchmarked recipe to meet your needs.
Hook your data into any recipe.
Rapid prototyping to any device
See all the model metrics.
Analyze size, accuracy, and power trade-offs interactively to meet your exact criteria.
Switch hardware platforms without restarting the design process.
Retrain and reuse in minutes, not hours
Speed update and retraining with new data using a trusted pipeline.
Reuse a modular pipeline to apply different models and/or hardware to the same dataset.
Simple, standalone model updates to edge devices with no change to dependencies, application, or hardware.
What our customers say
We demonstrated the ability to deploy and update our automatic target recognition models at the speed of operational relevance while simultaneously remaining confident in their performance.
I have used the Latent AI SDK for research purposes. They have a great set of models available and most of them are efficient and take much less time in inferencing.
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