Edge AI Studio is a collection of tools that enable development, benchmarking and deployment of AI applications.

Model Composer
Model Composer is a fully integrated no-code solution for training and compiling models for deployment into edge AI applications. It supports Bring-Your-Own-Data (BYOD), enabling the re-training of models from the TI Model Zoo with custom data. Deploy to your local development board.
Tasks supported:
- Image classification
- Object detection
- Semantic segmentation
- Arc fault detection
- Motor bearing fault detection
Model Analyzer
For vision applications Model Analyzer allows you to experience first-hand the superior performance of TI’s optimized for edge AI products. It enables the evaluation of accelerated deep learning inference on remotely accessed development boards. Benchmark embedded deep learning inference in under five minutes. Select from hundreds of optimized, trained models or use a custom model. Obtain latency, frames-per-second processing, DDR bandwidth and accuracy benchmarks.
Available remote development boards:
- AM62A starter kit (SK-AM62A-LP)
- AM68A starter kit (SK-AM68)
- AM69A starter kit (SK-AM69)
- TDA4VM starter kit (SK-TDA4VM)
Model Selection Tool
For vision applications find the model that best meets your performance and accuracy goals on TI Processor from TI Model Zoo. Learn current performance statistics of models such as FPS, Latency, Accuracy & DDR bandwidth.
Model Development Tools for Programmers
Our Texas Instruments Github hosts a more extensive and flexible set of model-development tools. Advanced users and developers may use these Linux® based PC tools to:
- Train TI models for a custom dataset (BYOD)
- Compile a custom or open source model for TI's AI accelerators (BYOM)
- Analyze and optimize models for performance and accuracy
- Microcontroller (MCU)
- Microprocessor (MPU)
- TI Deep Learning (TIDL) tools are part of MPU Edge AI software suite

