An OEM partnership programme for strategic partners building the next generation of energy solutions. Through Nyquist, partners can access and integrate selected technologies from Reactive Technologies’ patented Edge-Cloud-AI foundation, spanning advanced measurement, edge processing, data infrastructure, grid analytics and AI.
Use established technology and specialist expertise instead of developing every
capability internally.
Add advanced measurement, edge processing and grid
analytics to your product
portfolio.
Build on technologies
developed for complex
power-system environments.
Extend your offering into new applications, markets and commercial models.
Capture what others cannot see. XMU2 is built on Reactive Technologies’ reference hardware architecture for high-resolution, time-
synchronised measurement and edge processing, designed to capture the increasingly complex behaviour of modern power systems.
XMU2 captures voltage and current disturbances across the full IEC-defined supraharmonic range of 2 kHz to 150 kHz, revealing
high-frequency behaviour that conventional grid measurements can miss. This gives utilities greater visibility into inverter-based generation, battery storage, EV charging, data centres and large converter-based loads, and other power-electronic systems.
Built around a 24-bit, 512 kS/s, 8-channel acquisition architecture, XMU2 combines precision electrical measurement, GPS time synchronisation and embedded compute in a single grid-edge platform. Automatic gain control adapts to different voltage levels and grid frequencies, and integration with external devices such as PMUs is supported over USB and Ethernet.
Key capabilities
24-bit ADC
512 kS/s per channel sampling
8-channel acquisition
GPS time synchronisation
4× CT and 4× VT integration
Automatic gain control
Nyquist is built on a proprietary foundation of power-system know-how, measurement methodologies, signal-processing techniques, grid analytics algorithms and patented Edge-Cloud-AI architecture. This foundation is not a separate product layer — it is embedded across the full stack, from measurement layer to data infrastructure, edge-to-cloud analytics and AI-
driven learning systems.
Technology
licensing
Embedded
hardware and
software
APIs and
software
components
Containerised
applications
White-labelled
solutions
Joint product
development
Measurement and monitoring equipment
Inverters and power electronics
Data centre infrastructure
EV charging infrastructure
Grid software and analytics
Renewable energy and battery systems
Industrial energy management
Microgrids and distributed energy
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