What is MicroAI?
MicroAI delivers sophisticated Edge and Embedded Artificial Intelligence (AI) and Machine Learning (ML) platforms designed to optimize Information Technology (IT) and Operational Technology (OT) assets. The platform enhances transparency and performance insights for machines and devices through its Machine Intelligence solution, providing real-time observability. For the telecom sector, MicroAI's Smart Connectivity orchestrates services to improve network quality, reliability, and security, while enabling new revenue streams and sustainability improvements. Additionally, the platform offers robust Security and Monitoring capabilities, utilizing AI to detect and mitigate cyber threats rapidly, moving towards a Zero-Trust architecture.
The company also features a Digital Factory solution, an AI-enabled plug-and-play system focused on predictive manufacturing and maintenance to boost Overall Equipment Effectiveness (OEE). MicroAI Launchpad serves as a comprehensive AI-enablement ecosystem, simplifying the deployment of advanced AI capabilities. Furthermore, AIStudio facilitates AI model visualization and tuning for asset data, and a Gen AI Knowledge Management System leverages generative AI to organize and analyze organizational knowledge, turning data into actionable insights for improved performance and security across various industries.
Features
- Machine Intelligence: Provides deep insights into machine and device performance with full transparency.
- Smart Connectivity: Telecom service orchestration platform for improving network quality, reliability, and security.
- Security and Monitoring: Rapid detection and mitigation of cyber threats based on behavioral analysis.
- Digital Factory: AI-enabled plug-and-play solution for predictive manufacturing and maintenance, improving OEE.
- Launchpad: Complete AI-enablement ecosystem for deploying advanced AI capabilities with reduced complexity.
- AIStudio: AI model visualization and tuning platform for asset data.
- Gen AI Knowledge Management: Organizes, analyzes, and retrieves organizational knowledge using generative AI.
- Endpoint AI: Enables predictive maintenance and deep OT observability.
- Closed-Loop Asset Observability: Provides real-time health scores, fault detection, root cause analysis, and automated corrective actions.
- AtomML™: Edge-native AI technology for deeper IT and OT asset observability.
Use Cases
- Optimizing machine and device performance through deep insights.
- Enabling predictive maintenance for industrial assets.
- Improving manufacturing OEE (Overall Equipment Effectiveness).
- Enhancing telecom network quality of service (NQoS), reliability, and security.
- Orchestrating telecom services and creating new revenue streams.
- Implementing Zero-Trust cyber security architectures.
- Rapidly detecting and mitigating cyber security threats.
- Improving asset observability across IT and OT environments.
- Managing and analyzing organizational knowledge using generative AI.
- Developing and validating AI models for asset performance improvement.
FAQs
-
What is MicroAI?
MicroAI delivers personalized AI for connected devices by moving the training and intelligence onto the embedded device. -
How is MicroAI different from Cloud AI or other Edge AI?
MicroAI performs both the training and inferencing directly on the endpoint device or edge gateway processor. This eliminates the need to move security keys and raw data to the cloud for processing. -
What types of data can MicroAI process?
MicroAI can process any time-series signal data generated by sensors, logs, system metrics, or application data. -
How does MicroAI perform training on the asset?
MicroAI utilizes its proprietary AtomML algorithms to establish a baseline understanding of the asset's normal operational behavior directly on the device. -
Where can MicroAI technology be deployed?
MicroAI can be deployed on MCUs (microcontrollers), MPUs (microprocessors), edge gateways, servers, VMs (virtual machines), or containers.
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