Government subsidy $410,000 x Company out-of-pocket $10,000
AI Device Health Management is now live.Deployment
eCloudEdge Digital Innovation, in partnership with Innolux, utilizes the NeoEdge platform to drive the PRiSM data perception platform. This allows for the synchronized tracking of Health Indicators (HI) and Remaining Useful Life (RUL) predictions through Physical AI models, providing a clear view of equipment status.
Proven through testing on over 1,000 devices, with an anomaly detection rate exceeding 80% and a 50% reduction in equipment downtime.
Subscribe and use, no need to build your own engineering team; data remains within the enterprise, achieving both security and efficiency.
From Data Silos to AI-Driven Smart Decisions: Unleashing the True Value of OT Data
NeoEdge's Industrial Edge AI collaborative platform lowers the barrier to entry for Physical AI, allowing all solution providers and customers to easily achieve OT data governance, Edge AI model management, flexible scaling, and remote gateway management through software-defined hardware capabilities, accelerating intelligent transformation and enhancing productivity and innovation.
Stop Sending Unnecessary Dispatches
AI Agent ensures every trip is precisely on time.
Cross-border equipment manufacturers throughNeoEdge DataHub Establish a unified OT data source and integrate AI agent services.，
Automatically compare repair SOPs with historical records, and generate real-time repair recommendations and spare parts lists.Lower 50% Invalid Work Order
Comprehensive cybersecurity upgrade：
Securing OT/IT Data from the Edge to the Cloud
Compliant with ISO27017/IEC 62443 cybersecurity standards, freeing you from security breach concerns, accelerating digital transformation, and unlocking data potential.
Physical AI Flagship Evolution
NeoEdge V4 Officially Released！
By connecting AI Agents through MCP, containerizing self-developed programs, and graphically orchestrating processes and logic,
The all-new NeoFlow node-based logic engine, combined with Edge AI edge inference,
Enable edge intelligence to seamlessly integrate perception and decision-making.
From single-point verification to group-wide implementation, let Physical AI truly enter every production line.
Are you also facing these challenges with digital transformation?
Five Core Capabilities for Building an Intelligent Edge Platform
NeoEdge integrates key technologies to provide complete edge computing solutions, assisting enterprises in achieving digital transformation.
Data ETL
Integrate OT data sources to implement Extract, Transform, Load
- Supports multiple industry protocols and data formats
- Graphical Settings for Data Cleaning and Transformation Workflow
- NoCode Data Flow Design Tool
Security
Following ISO 27017/IEC 62443 international cybersecurity standards, strengthen identity, communication, and authorization management.
- Communication uses TLS 1.2 encryption.
- MFA multi-factor authentication
- RBAC Permission Control and Audit Log
Artificial Intelligence
Assist in AI model deployment, version, and license management, and integrate inference results with edge OT data to achieve real-time edge intelligence.
- AI models are rapidly deployed to edge devices for execution.
- Manage model version control and authorization status
- Inference Result, Inference Integration, and Application
Management
Device and application full lifecycle management from deployment to decommissioning
- Remote Monitoring and Device Health Management
- Supports mass deployment and version control features
- One-click deployment service (Please contact sales for project requirements)
Edge to Cloud
Supports private cloud, public cloud, and on-premises hybrid deployments, with flexible data migration to the cloud.
- Achieve edge data offloading to local and cloud
- Edge endpoints support three major public clouds and MQTT/HTTP connections.
- Integrate OT data and AI inference results to the cloud
Facing these challenges? NeoEdge helps you solve them.
In the course of corporate digital transformation, common pain points can be overcome quickly with NeoEdge's comprehensive solutions.
OT data is scattered and difficult to integrate, and the data format of each machine is different?
In factories, various equipment uses different brands and communication protocols, leading to inconsistent data formats. This requires manual conversion for use, resulting in high implementation barriers and integration difficulties, creating data silos.
OT Data ETL and Data Collaboration Solutions
Supports multiple industrial protocols, supports multiple OT protocols and data formats, no programming data conversion and cleaning, quickly establishes a unified data management mechanism, and improves data usability.
Are your factories dispersed and unable to centrally manage equipment data?
Multiple factories or operational sites operate independently, leading to data dispersion, inability to unify monitoring and maintenance across sites, and increased operational costs and risks.
NeoEdge Central Builds Remote Maintenance Center
Integrate data sources from various locations through a centralized cloud platform, enabling unified configuration and monitoring management to improve efficiency and reliability.
AI deployment lacks standardization, and inference results lack on-site data support?
AI models are often trained with non-real-time data, lacking immediate data feedback and correction, leading to inference errors, and their deployment processes are not standardized, making it difficult to scale.
AI Edge Deployment and Standardized Inference Solutions
Establish data standards, rapid deployment, and version control mechanisms through NeoEdge to ensure inference results are field-based, replicable, and scalable across sites.
Is the barrier to entry for OT cybersecurity too high, and could neglecting cybersecurity become a major risk?
Many factories overlook cybersecurity design when introducing smart equipment, or they build their own security mechanisms, leading to increased potential vulnerabilities and operational risks.
Building your own OT cybersecurity has a high barrier to entry, and ignoring cybersecurity entails significant risks.
The NeoEdge system design follows the ISO27017 and IEC 62443 security frameworks, with built-in RBAC access control and secure SSH/RDP remote maintenance, reducing OT cybersecurity risks.
Connecting ecosystems to build vertical application solutions
Smart Factory Solutions
MES / AIoT Integration
AI Predictive Maintenance
AI Vibration Predictive Maintenance (Texol)
Smart Energy Management
Energy Management and Carbon Footprint Verification (DAE)
AI Visual Inspection
AI Image Recognition and Industrial Safety Protection (Canon)
Flexible licensing model, choose as needed
NeoEdge offers a variety of licensing options, from single devices to enterprise-level deployments, to meet the digital transformation needs of businesses of all sizes.
Building a smart future with industry leaders
