Chisp offers a unified IoT platform that aggregates data from sensors, PLCs, cameras and smart‑home devices through a hardware hub supporting MQTT, OPC‑UA, Modbus, Zigbee, Z‑Wave and REST APIs. Its cloud‑native analytics engine applies machine‑learning for predictive maintenance, anomaly detection and energy optimization, presenting results on configurable, role‑based dashboards with multi‑channel alerts. The solution is delivered via a SaaS subscription and optional hub hardware for industrial, commercial and residential facility managers.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and property managers often operate fragmented IoT ecosystems where sensors, cameras, and smart devices communicate through disparate protocols and isolated dashboards. This siloed architecture prevents real‑time visibility, forces manual data aggregation, and leads to missed anomalies or inefficient resource use across industrial, commercial, and residential sites.
Solution
Chisp delivers a unified IoT platform built around the Chisp Hub, which aggregates data from any compliant device and streams it to a cloud‑native analytics engine. The engine applies machine‑learning models for predictive maintenance, anomaly detection, and energy optimization, then surfaces the results on configurable, role‑based dashboards. Users receive instant, rule‑based alerts via web, mobile, or voice assistants, enabling proactive interventions without switching between multiple tools. The platform’s open API and multi‑protocol support simplify integration of legacy equipment and new smart‑home devices, while enterprise‑grade encryption and authentication secure every data flow.
Target Audience
The primary customers are industrial plant operators, commercial facility managers, and residential smart‑home integrators who need a single pane of glass to monitor and automate heterogeneous IoT assets at scale.
Features
- Edge‑installed Chisp Hub with built‑in support for MQTT, OPC-UA, Modbus, Zigbee, Z‑Wave, and REST APIs, enabling plug‑and‑play connectivity for sensors, PLCs, cameras, and consumer smart devices.
- Real‑time data ingestion pipeline that normalizes high‑velocity streams, applies edge‑level filtering, and forwards enriched events to the cloud analytics stack.
- AI‑driven predictive models for equipment health, environmental condition forecasting, and occupancy‑based energy management, continuously retrained on historical telemetry.
- Customizable dashboards and visualizations with drag‑and‑drop widgets, KPI tracking, and drill‑down capabilities for operators and executives.
- Configurable alert engine delivering multi‑channel notifications (SMS, email, voice, push) with severity thresholds and automated escalation workflows.
- Role‑based access control and end‑to‑end TLS encryption, meeting ISO 27001 and GDPR compliance for data at rest and in transit.
- Scalable SaaS backend that auto‑provisions compute resources to handle from single‑site deployments to multi‑site enterprise rollouts.
- Integrated voice‑control interface compatible with major assistants (Amazon Alexa, Google Assistant) for hands‑free device management and status queries.