Clarifai Flare Edge extends the comprehensive Clarifai platform by providing specialized tools and features for edge deployments. This composable solution allows organizations to perform AI inference directly on edge devices, then seamlessly sync results and data with the full Clarifai platform in the cloud. It addresses critical challenges such as internet limitations, enabling AI applications to run efficiently without constant connectivity or in completely air-gapped environments, thereby eliminating bottlenecks, delays, and service interruptions. The platform offers edge-optimized model architectures that provide advanced predictive capabilities while minimizing on-device memory consumption. It supports continuous model improvement through active learning, with fully integrated edge and on-prem/cloud applications for performance monitoring. Users can quickly get started with Clarifai’s continuously expanding repository of pre-trained models for common AI applications, or utilize the full end-to-end platform to label, search, and custom train models. Flare Edge supports flexible deployment options, including pure edge, edge-plus-cloud, or "fog" computing configurations, and extends Clarifai’s composable workflows to the edge for complex on-device logic, such as deep object analytics, object tracking, and trend analysis. Key use cases benefiting from Flare Edge include predictive maintenance to anticipate equipment failures, quality control using computer vision for detailed error detection, site safety for identifying hazardous zone intrusions, and ISR (Intelligence, Surveillance, Reconnaissance) for improved domain awareness in military, maritime, and border security contexts. The solution is designed for environment-agnostic deployment across public, private, or classified software and hardware environments, making it suitable for a wide range of enterprise needs, from startups to Fortune 500 companies.

Features & Benefits

• Edge-Optimized Models
  • Leverage model architectures designed for low on-device memory consumption while maintaining advanced predictive capabilities.
• Active Learning
  • Continuously monitor and improve model performance with fully integrated edge and on-prem/cloud applications.
• Pre-trained Models
  • Access Clarifai’s expanding repository of ready-to-use models for rapid deployment of valuable AI applications.
• Custom Model Training
  • Utilize Clarifai’s end-to-end platform for labeling, searching, and custom training models, accelerating intelligent applications across edge, on-prem, and cloud environments.
• Flexible Deployment Options
  • Choose from pure edge, edge-plus-cloud, or "fog" computing configurations to suit specific infrastructure needs.
• Comprehensive Workflow Support
  • Extend Clarifai’s composable workflows to the edge, enabling complex on-device logic for deep object analytics, object tracking, and trend analysis.
• Streamlined AI Lifecycle
  • Provides a fully integrated, one-stop solution for every step of the AI lifecycle, maximizing value from unstructured data and integrating seamlessly with the full Clarifai platform.
• Offline & Low-Latency Operation
  • Enables AI inference to run on-location, eliminating bottlenecks, delays, or service interruptions due to internet connectivity, supporting ultra-efficient applications and air-gapped deployments.
• Environment Agnostic Deployment
  • Deploy into any public, private, or classified software and hardware environment, including any cloud, air-gapped bare-metal, or at the edge.