AmberFlux EdgeAI provides products and solutions to enable enterprises to move their cloud-based AI inferencing to edge devices. AmberFlux EdgeAI microproducts can be rapidly deployed and managed at scale with localization capabilities. Edge side microproducts include applications related to edge data management, edge computing, EdgeAI inference and integrations with other systems. Amberflux EdgeAI solutions enables the business users to function autonomously, but at the same time leveraging on the inferences of the huge data at the backend cloud.
To provide a seamless adoption of AI at Edge, AmberFlux suite of products consisting of Opus, Concerto and Opus Dashboard provide a unique combination of tools to adopt AI at scale. AmberFlux EdgeAI Suite goes beyond the traditional AI solutions like chatbots and enables enterprises to use AI at scale.
Opus: Opus microproduct range provides cognitive inferencing at low cost edge devices like mobile phones, IOT and low-cost server infrastructure. Enterprises can leverage their existing designs for enabling them for EdgeAI for sensor data analysis and IoT. Opus’s deep learning model ensures learning and inferencing on the edge devices powered by low-cost, low-power processors, including most of the existing generation of microcontrollers. Opus framework enables AmberFlux to release EdgeAI inference microproducts in 30-60 days per feature to ensure our customers can have the early mover advantage.
Concerto: Concerto will enable enterprises to integrate their internal and external applications for AI in an enterprise container and the data from the multitude of edge devices. Using Concerto, Enterprises can roll-out their AI inferences from cloud to edge devices at defined intervals or in real time. Enterprises can create a continuous loop of learning, analyzing, inferencing, updating and pushing the policy to end-users.
Opus Dashboard: Managing the multitude of end-devices both for collection of data and the edge devices used by business users is a huge challenge. Using Opus Dashboard, we remove the complexity of management and provide KPI Driven insights with defined actions to managers.
Maestro: Maestro is a cognitive engine and decision maker to construct deep learning models, optimizations, and AI operations. With Maestro, enterprises can run multi-constraint, multi-objective-based optimizations and manage their AI/ML models across their edge infrastructure in a structured manner.
AmberFlux Opus enables enterprises to move the cloud-based AI inferencing to edge devices for rapid deployed and at scale.
AmberFlux Concerto enables enterprises for integrating internal/external applications, business applications and Edge devices for AI.
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Multiple
AmberFlux Opus enables enterprises to move the cloud-based AI inferencing to edge devices for rapid deployed and at scale.
Multiple
AmberFlux Concerto enables enterprises for integrating internal/external applications, business applications and Edge devices for AI.
Telecom
AmberFlux Opus enables telecoms to move the cloud-based AI inferencing to edge devices for rapid deployed and at scale.
Multiple
AmberFlux Opus Dashboard enables enterprises to manage the data from multitude of devices in a simple format defined by KPIs
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