Battery, solar and grid-edge monitoring — built for hardware nobody's standing next to.
Monitoring a distributed energy installation reliably means designing for remote, intermittently-connected hardware from the start, not adapting a connectivity assumption that only holds in the lab. Rivix builds the sensing, firmware and telemetry pipeline as one system.
One team across the stack for remote energy hardware.
Sensing, firmware and the telemetry pipeline get built as one system, designed for hardware that's remote, intermittently connected, and physically exposed.
- Embedded Hardware
- Firmware
- Cloud & Device Platforms
- Mobile & Web Apps
- AI & Intelligence
Where AI accelerates
- Component selection
- Driver scaffolding
- Infra-as-code
- Dashboard/query scaffolding
Where it stays human
- Thermal & mechanical tradeoffs
- Watchdog/health-monitoring threshold tuning
- Security architecture
- Production monitoring & alert thresholds
The full stack, scoped for distributed energy hardware.
Embedded Hardware
Distributed thermal and electrical sensing hardware built for installations nobody visits daily.
Explore hardware →Firmware
Real-time diagnostics on automotive- and industrial-grade MCUs, plus protocol-specific gateway integrations.
Explore firmware →Cloud & Device Platforms
Fleet-wide dashboards giving visibility into performance and faults across distributed installations.
Explore cloud →Mobile & Web Apps
Web dashboards built for operators watching a fleet, not a single device.
Explore mobile & web →AI & Intelligence
Fault detection at fleet scale — on-device or cloud, chosen by the constraint.
Explore AI & Intelligence →What actually shapes an EV and grid-edge hardware architecture.
Physical security for hardware in the open
The design assumption is that an attacker can get physical access to the device.
- JTAG/SWD debug ports disabled or locked down in production builds
- Key material in hardware-backed secure elements, not plain flash
- Tamper-evident or tamper-responsive enclosures
- Firmware signed and verified at every boot; OTA updates signed, authenticated, with anti-rollback protection
Network segmentation as a baseline
A grid-edge device's telemetry, config, and OTA path is kept as a separate trust boundary from utility control systems — defense-in-depth rather than a single perimeter.
Smart meter connectivity options
The right network depends on density, not preference.
- RF mesh — hop-to-hop to a collector, suits dense residential/urban deployments
- Cellular (LTE-M/NB-IoT/LTE) — per-device, no collector, recurring data cost, suits sparse/rural areas
- Power line communication — rides existing distribution wiring, signal quality varies by grid segment
- Reporting at 15- or 5-minute granularity enables demand response and outage detection, at the cost of data volume at fleet scale
Where protection logic has to live
Time-sensitive protection runs locally, not through the cloud.
- BMS is the authoritative source for cell-level health and safety; site monitoring aggregates BMS, inverter and production data rather than duplicating BMS function
- Over-voltage cutoff and fault alarms run locally at the edge, independent of connectivity
- Our EV thermal-monitoring module evaluates diagnostics locally on an automotive-grade MCU and reports over the in-vehicle bus, not an external network
Real builds in EV and energy systems.
Pulled from our case-study library — same AI/human split shown in full, industry context included.
EV Battery-Pack Thermal Monitoring Module
US-based EV / battery technology companyA distributed monitoring module captures thermal conditions across an EV battery pack and identifies abnormal temperature behavior for battery-management and diagnostic systems.
Solar Micro-Inverter Fleet Monitoring Platform
US-based renewable-energy / solar technology companyA connected platform collects operational telemetry from distributed solar micro-inverters and provides fleet-wide visibility into performance, device health and faults.
What we've written about battery, solar and grid-edge systems.
Solar/Battery Monitoring for Distributed Energy
Designing for remote, intermittently-connected hardware from the start, not adapting a lab-only assumption.
Read the article →Grid-Edge Device Security for Energy Infrastructure
Physically exposed grid-edge hardware needs secure boot, signed updates, and segmentation as a baseline.
Read the article →Smart Meter System Design: Protocols & Data
How often a meter reports, and over what network, sets the ceiling on cost, battery life, and utility value.
Read the article →What people ask before scoping an energy or grid-edge deployment.
How do you secure grid-edge hardware sitting in public or semi-public locations?
Grid-edge security is a genuinely different problem from a consumer gadget — it's designed as a baseline, not an add-on, from the first schematic.
Which RTOS / wireless stacks do you work with?
FreeRTOS, Zephyr and bare-metal on the RTOS side; BLE, Wi-Fi, LoRa, Zigbee and cellular on connectivity, chosen based on your power and range constraints, not by default.
Is this on-device or cloud AI?
Both, chosen by the constraint — real-time and privacy-sensitive workloads run on-device; fleet-wide pattern detection runs in the cloud.
Do you source components too?
Yes — BOM optimization and sourcing (including lifecycle/obsolescence risk) is part of the hardware engagement, not a separate line item.