Clarifai

Clarifai provides access to over 500 models including large language models, vision-language models, image classification, object detection, and embedding models from providers like Meta, OpenAI, Anthropic, and open-source communities. All models are available via API for both serverless and dedicated GPU inference.

Yes. Clarifai supports hybrid cloud, VPC, on-premise, and fully air-gapped deployments through its Private AI Enterprise plan. Organizations can run the full platform within their own infrastructure while maintaining complete data sovereignty.

The Clarifai Reasoning Engine is a self-optimizing inference layer designed to accelerate complex reasoning tasks on GPUs. It orchestrates multi-step agentic workflows and large reasoning model outputs, reducing latency and compute costs for production-scale AI agents.

Clarifai offers official SDKs for Python, Node.js, and Java, along with gRPC-based API access for any language that supports protocol buffers. The Python SDK is the most widely used and supports all platform features including model training, inference, and data management.

Clarifai provides a visual model builder where users can upload datasets, annotate data with AI assistance, train classification or detection models, and evaluate performance using built-in metrics. Model versioning and leaderboards help teams compare results and deploy the best-performing model.