Latent AI

Latent AI offers the Efficient Inference Platform (LEIP) SDK, which allows users to build, deploy, and manage efficient AI vision systems at scale. LEIP compresses conventional AI models below 8-bit integer precision without losing accuracy, resulting in up to a 10x reduction in size and a 3x improvement in inference. The platform’s Adaptive AI technology enables models to self-regulate their computational needs, activating only necessary parts of the neural network. LEIP Recipes, customizable templates pre-qualified for a wide range of hardware targets, facilitate rapid prototyping of new models. The Ruggedized AI Toolkit (RTK) supports field updateable AI, allowing models to adapt on-site to specific environments and missions. Latent AI’s solutions support on-prem inference, enabling organizations to move their decisions to their data while eliminating maintenance and configuration concerns. The LEIP SDK integrates into CI/CD software development flows with standardized APIs, and its Recipes database holds over 50,000 ML component combinations and configurations, continuously updated through extensive hardware testing. The LEIP Design tool uses a recipe-based approach to simplify decision-making, reduce development time, and increase project success rates. LEIP Recipes streamline the development process by providing pre-configured steps and settings for efficient model performance on desired target platforms. These Recipes include components such as models, datasets, data augmentation techniques, training optimizers, and learning rate schedulers. They are designed to help users find the best model quickly by specifying performance and hardware requirements upfront. LEIP Recipes enhance agile design and exploration, are compatible with other ML tooling, and are compact and shareable for easy collaboration and reproducibility. They provide a mined recipe space that allows users to make data-driven design decisions based on empirical evidence. Supporting a wide range of hardware, including CPUs, GPUs, and FPGAs, LEIP Recipes ensure optimized performance across diverse scenarios, mitigate the need for frequent retraining, and future-proof models by adapting to new hardware opportunities. They also streamline the deployment process by identifying the optimal hardware for specific needs upfront.