Generative AI
Generative AI at Enterprise Scale
Operationalize generative AI initiatives with a full-stack AI development platform for no- or low-code application workflows, centralized AI governance, model evaluations, training, and support for multimodal generative AI tasks.
Generative AI at Enterprise Scale
Accelerate development of responsible generative AI
Centralize governance and security for shared AI resources, including models, datasets, and generative AI workflows
Find the right generative AI model for your needs
Streamline operational decisions with centralized leader boards for ranking models against relevant datasets, and evaluation for bias detection and accuracy
Reduce costs around generative AI
Optimize cost for model inference with efficient LLM runtimes through custom-built bin-packing orchestration
Find the right model for your need, and deploy anywhere
Easily evaluate models—OpenAI, Cohere, Anthropic, and open-source models like GPT-Neo, BERT, and more—to choose the right models and customize as needed for your use case.
Auto-index unstructured data and create vector stores, and chain together multiple AI models, workflows, and out-of-the-box prompts to streamline development of generative AI.
Deploy Clarifai on-prem or in your VPC so that data can stay where it is for model training, fine-tuning and inference with the ability to auto-scale compute nodes.
Scale your AI with confidence
Clarifai was built to simplify how developers and
teams create, share, and run AI at scale
Establish an AI Operating Model and get out of prototype and into production
A Leader in Computer Vision: Forrester Wave 2024
Make sense of the jargon around Generative AI with our glossary
Build your next AI app, test and tune popular LLMs models, and much more.
