Liner.ai

Liner targets developers and product teams who need custom machine learning but do not have ML expertise or GPU infrastructure. The workflow is deliberately compressed into three steps: import your data (or use a pre-labeled dataset from Liner's library), press a button so Liner picks an appropriate architecture and trains it, then export the model to the platform where it will run. Because everything happens locally, Liner doubles as a privacy-friendly option for teams that cannot send training data to a cloud service.

The tool ships with ready-to-use project templates covering the most common computer vision and NLP tasks. Image classification, text classification, audio classification, video classification, object detection, image segmentation, and pose classification are all supported out of the box, so you choose the task type rather than designing an architecture. Models are optimized for CPU training and edge deployment, which means training typically finishes in minutes without a GPU and the exported model can run on mobile and other constrained devices.

Liner is free to use and available as a download for both Intel and Apple Silicon Macs as well as Windows. It credits its approach to state-of-the-art models tuned for speed and accuracy, and it is positioned as a bridge between prototype datasets and shipped applications rather than as a full MLOps platform with monitoring, retraining pipelines, or hosted inference.