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Smart Manufacturing Reimagined: From Silos to Synergy

Transform your industrial manufacturing with a software-defined, AI-driven, smart manufacturing solution. Powered by our unified MQTT messaging platform and industrial IoT connectivity.

Challenges in Smart Manufacturing

Disparate Devices

In manufacturing industries, factories often utilize various systems and devices sourced from vendors with diverse data formats and protocols.

Data Silos

Applications are built independently, resulting in ineffective data sharing and communication among applications, creating data silos.

Industrial Intelligence

Deploying AI/ML models in real-time on the factory floor is difficult due to the lack of technologies such as Industrial IoT, Big Data, and Artificial Intelligence.

Unified Namespace (UNS): Next-Gen Data Fabric for IIoT

Unified Namespace (UNS): Next-Gen Data Fabric for IIoT


Industrial Connectivity

Industrial Connectivity

Connect disparate industrial devices with 80+ industrial protocols, including Modbus, OPC-UA, Ethernet/IP, IEC104, BACnet, Siemens, Mitsubishi, and more.



Built on open-source software, running on standard X86 and ARM servers, eliminating the hassle of maintaining hardware PLCs and gateways from different vendors.

AI-First Approach

AI-First Approach

Transfer manufacturing data to the cloud in real-time for AI/ML training. Deploy and apply the trained ML models to the factory floor from the cloud.

Unified Namespace

Unified Namespace

Design and implement real-time data flows between industrial equipment, MES, WMS, and ERP systems with the Unified Namespace (UNS) architecture.

Stream Processing

Stream Processing

Process and analyze raw streaming data at the edge. Reduces latency, saves bandwidth, and offloads computational tasks from the cloud platform.

Cloud Integration

Cloud Integration

Seamless integration with cloud platforms by transferring manufacturing data from the edge to cloud storage, machine learning, and analytics systems.


Eliminate data silos

Achieve unified access to plant data, including real-time collection of all industrial equipment data, multi-source data access, and enterprise system integration.

Improved Operational Efficiency

Provide a deeper understanding of the various stages of the production process to identify potential bottlenecks. Optimize workflow and improve overall operational efficiency.

Reduced Costs

Effective predictive maintenance and optimized resource utilization help reduce unplanned downtime and waste, lowering production and operational costs.

Enhanced Quality

Detect anomalies and quality issues in the production process early through real-time data collection and analysis. Improve product quality and reduce defect rates.

Enhanced Industrial Intelligence

Enable predictive analytics and maintenance, automated decision-making, adaptive control, and anomaly detection by integrating IoT, AI/ML, big data, and other technologies.

Agile Production

Adjust the production plan to meet changes in market demand quickly. Reduce inventory backlogs, shorten production cycles, and accelerate new product development and time-to-market.




SOC 2 Type 1

SOC 2 Type 2

ISO/IEC 27001:2013

ISO/IEC 27701:2019

ISO/IEC 20000-1:2018

Ready to Get Started?