Clarifai
Clarifai provides a comprehensive AI lifecycle platform that enables organizations to rapidly build, deploy, and scale AI applications for unstructured data without requiring extensive machine learning expertise, offering both pre-trained models and custom model development capabilities.
Last updated May 11, 2026
- Industry
- AI/ML Platform with AdTech Applications
- Business Model
- SaaS
- Target Market
- Enterprise and Mid-Market
- Employee Count
- 51-200
- Funding
- $100M+
- API Available
- Yes
Leading independent AI platform provider specializing in computer vision and multimodal AI with applications across multiple verticals including advertising technology
Clarifai is an AI platform company founded in 2013 that specializes in computer vision, natural language processing, and multimodal AI capabilities. The company provides a full-stack AI lifecycle platform that enables developers and enterprises to build, deploy, and manage AI applications for unstructured data including images, video, text, and audio. While not exclusively an AdTech company, Clarifai serves the advertising and marketing technology ecosystem by providing AI-powered content moderation, visual search, product recognition, and brand safety solutions that help advertisers and publishers understand and categorize visual and textual content at scale. Clarifai's platform offers pre-trained models as well as tools for custom model development, making it accessible to both technical and non-technical users. The company has positioned itself as a leader in AI operations (MLOps) with capabilities spanning data labeling, model training, deployment, and monitoring. In the AdTech context, Clarifai's technology enables use cases such as contextual advertising, content categorization for programmatic ad placement, brand safety verification, and creative optimization through automated visual and semantic analysis of ad content and publisher inventory.
Clarifai Platform
Full-stack AI lifecycle platform for building, deploying, and managing AI models for computer vision, NLP, and multimodal applications
Pre-trained Models
Library of ready-to-use AI models for common tasks like object detection, content moderation, visual search, and text classification
Custom Model Training
Tools and workflows for training custom AI models using proprietary data with transfer learning capabilities
Data Labeling
Integrated data annotation and labeling tools for preparing training datasets
Model Deployment
Infrastructure for deploying AI models at scale with API access and monitoring capabilities
Visual Search
AI-powered visual similarity search for finding and organizing visual content
Content Moderation
Automated content moderation for detecting inappropriate, unsafe, or brand-unsuitable content