We aren't just a software company. With decades of rich experience working directly with industrial OEMs and Tier-1 suppliers, we speak your language. We understand the harsh realities of the factory floor, the complexities of legacy systems (like Modbus/OPC-UA), and the critical importance of operational reliability.
From sensor selection and embedded firmware development (at the Edge) to cloud architecture, data pipeline engineering, and custom dashboard creation (in the Cloud), we manage the entire technology stack. You get a single, accountable partner for a seamless, fully integrated solution.
Our track record is built on delivering measurable results for the most demanding clients. We have successfully enabled predictive maintenance strategies for numerous leaders in CNC machining, robotics, process automation, and heavy equipment manufacturing, ensuring our solutions meet the highest standards of quality and performance.
We build your solution on the most cutting-edge, scalable, and secure platforms that best fit your unique ecosystem—be it AWS, Azure, or a private cloud. Our solutions are designed to evolve with your business, integrating new assets and technologies as you grow.
We create high-fidelity, custom-built virtual models of your physical assets, systems, or entire processes. By integrating data from sensors, PLCs, SCADA systems, and MES, we build a real-time, holistic view of your operations.
This is our core offering. We implement advanced ML algorithms that analyze historical and real-time data to identify failure patterns. Receive actionable alerts long before a breakdown occurs, reducing unexpected downtime by up to 70%.
Go beyond maintenance. Use your Digital Twin to simulate "what-if" scenarios. Test changes to production line speed, material flow, or operational parameters in the virtual world without disrupting physical operations, identifying bottlenecks and maximizing throughput.
Drastically reduce on-site installation and commissioning time. By testing and validating control logic (e.g., PLC code) on the Digital Twin before deploying it to the physical machine, you can shorten project timelines and de-risk the launch of new equipment.
Our expertise extends to the physical layer. We help you select, install, and integrate the right sensors—from vibration and acoustic to thermal and power monitors—and ensure a reliable data stream from the edge to the cloud.
Our Proven 4-Step Implementation Process
Discovery & Assessment We begin with a deep dive into your operations, identifying critical assets, understanding failure modes, and auditing your existing data infrastructure.
Modeling & Virtualization Our team builds the high-fidelity Digital Twin, creating a precise mathematical and physical representation of your asset and its behavior.
Data Integration & ML Training We connect the twin to your live data sources via IIoT gateways. The model is then trained on historical and real-time data to learn the unique signature of normal operation.
Deployment & Optimization The live Digital Twin is deployed with a custom dashboard. We continuously monitor and refine the predictive algorithms to improve their accuracy and deliver ever-increasing value.
Development of RL78 based instrument cluster with stepper motor-based gauges and CAN connectivity.
Learn more about the instrument cluster
An In-depth Guide to the J1939 protocol communication and diagnostics applications, mapping to OSI Layer Model, etc.
Know more
Article on Interrupt Handling in RH850 MCUs capturing its Register set, RH850 Exception Model & RH850 Exception Handling with example.
Interrupt Handling in RH850 MCUs