Instill AI

Founded 2020

Build unstructured data pipelines to connect AI models with applications

You can use Instill AI to convert unstructured data like images, video, audio, and documents into structured outputs. It connects machine learning models with existing databases, storage systems, and business applications. You can build visual data pipelines using prebuilt components, chain multiple models together, and test workflows before deployment. The system supports self-hosting via Docker as well as cloud deployment. Teams can automate computer vision tasks, process incoming media assets in real time, and route structured insights directly to backend services without writing custom pipeline code.

What Instill AI does

Connect cloud storage sources to unstructured data pipelinesDeploy computer vision models for image classificationConvert unstructured PDF files into structured JSON formatTrigger automated workflows using REST and gRPC endpointsChain multiple machine learning models within a single pipelineExport processed machine learning inferences to external databasesMonitor pipeline execution performance and model latencyBuild pipelines visually to process unstructured dataConnect pre-trained models from Hugging Face and custom endpointsConvert raw images, audio, and video into structured JSONSelf-host using Docker or deploy through managed cloudTrigger pipelines through REST and gRPC API endpointsIntegrate cloud storage buckets directly into data workflowsMonitor data throughput and pipeline latency metrics