Cuculus offers the ZONOS IoT Platform, a cloud‑native software stack that ingests, normalizes, and stores billions of smart‑meter records daily from multiple protocols (cellular, PLC, RF mesh, LoRaWAN). The platform delivers real‑time analytics for grid balancing, demand response, and outage detection, along with rule‑based and AI‑driven revenue protection and fraud detection, and exposes data via REST, OPC‑UA and MQTT APIs for seamless integration with SCADA, ERP and billing systems.
Funding
$9.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PGFounders
Product
Problem
Utilities must modernize their electricity, water, and gas distribution networks while processing massive streams of smart‑meter data and safeguarding revenue against fraud. Existing legacy systems often lack the scalability, real‑time analytics, and flexible connectivity required for today’s digital grid.
Solution
Cuculus delivers the ZONOS IoT Platform, an enterprise‑grade software stack that aggregates, normalizes, and stores billions of metering records per day from heterogeneous smart‑meter devices. The platform provides unified connectivity (cellular, PLC, RF mesh) and a high‑throughput ingestion pipeline that feeds real‑time analytics for grid balancing, demand response, and outage detection. Built‑in Revenue Protection and FraudDetect modules apply rule‑based and machine‑learning models to identify abnormal consumption patterns and prevent revenue loss. All services are exposed via RESTful and OPC‑UA APIs, enabling seamless integration with existing SCADA, ERP, and billing systems. The solution is delivered as a cloud‑native, containerized architecture that can be scaled horizontally to support national‑level deployments while maintaining data isolation and compliance with industry security standards.
Target Audience
Primary customers are electric, water, and gas utility operators and grid management companies that require scalable smart‑meter data platforms and advanced revenue‑protection capabilities. The solution also serves system integrators and technology partners building downstream applications for the utility sector.
Features
- Multi‑protocol connectivity layer supporting cellular, PLC, RF mesh, and LoRaWAN for heterogeneous smart‑meter fleets
- High‑throughput data ingestion engine capable of processing billions of data points daily with sub‑second latency
- Real‑time analytics engine for load forecasting, grid balancing, and anomaly detection using stream processing (Apache Flink/Kafka)
- Revenue Protection module with configurable rule engine and AI‑driven fraud scoring to flag suspicious usage
- FraudDetect analytics suite offering pattern‑recognition, clustering, and predictive models for loss mitigation
- Open APIs (REST, OPC‑UA, MQTT) for integration with SCADA, ERP, billing, and third‑party analytics platforms
- Containerized, Kubernetes‑orchestrated deployment for elastic scaling and automated failover
- Role‑based access control, end‑to‑end encryption, and audit logging to meet ISO 27001 and GDPR requirements