Clarifai operates a full-stack AI platform spanning data preparation, model training, deployment, and monitoring across computer vision, NLP, and audio domains. The platform serves over 400,000 users across 170+ countries, delivering billions of predictions with access to more than 1 million models. Founded in 2013 by Matthew Zeiler after winning top five placements at ImageNet 2013, the company has raised $100 million in funding from Menlo Ventures, Union Square Ventures, NVIDIA, Google Ventures, and Qualcomm. Customers include Amazon, Siemens, NVIDIA, Canva, Vimeo, and OpenTable.
The inference architecture supports orchestrated compute across AWS, GCP, and Azure, with edge deployment through Local Runners for on-premises and edge scenarios. The platform integrates PyTorch, TensorFlow, JAX, Nvidia Triton, and ONNX, with reported performance of 544 tokens per second on GPT-OSS-120B. Technical focus areas include image classification, video analysis, multimodal processing, and MLOps workflows. The stack runs on Python and Golang, with Kubeflow for pipeline orchestration.
The company positions itself as enterprise- and developer-focused, addressing the full AI lifecycle from unstructured data ingestion through production monitoring. Forrester recognized Clarifai as a leader in its Computer Vision report. The platform's scope spans model training, inference orchestration, and operational deployment across cloud and edge environments, serving use cases in e-commerce, manufacturing, semiconductors, creative software, media, and hospitality verticals.