Ambidex provides a cloud‑native control layer for existing commercial refrigeration systems that adjusts compressor setpoints in real time based on electricity prices and grid signals, reducing energy consumption while maintaining food‑safety temperatures. The platform also delivers predictive health analytics to detect early faults, generates prescriptive maintenance work orders, and automates participation in demand‑response and flexibility markets via standard APIs.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial refrigeration units operate on static setpoints, consuming electricity continuously regardless of real‑time grid conditions or electricity pricing. This inflexibility prevents facilities from contributing to demand‑response or flexibility markets and leads to higher operational costs. Additionally, conventional alarm systems only react after a fault occurs, resulting in unplanned downtime and unnecessary wear.
Solution
Ambidex delivers an intelligent control layer that overlays existing refrigeration control systems, enabling dynamic load shifting based on real‑time electricity prices, grid demand signals, and market incentives. The platform continuously optimizes compressor cycles to minimize energy spend while preserving temperature setpoints and food‑safety compliance. Integrated predictive analytics monitor operational parameters, detect early‑stage anomalies such as valve leakage or control drift, and generate maintenance recommendations before failures materialize. Automated participation in flexibility markets allows facilities to earn revenue by providing demand‑response capacity without hardware changes. All optimization logic runs in a cloud‑native analytics engine, with secure data exchange via standard OPC‑UA and REST APIs, ensuring seamless integration with plant‑level SCADA or EMS solutions.
Target Audience
The primary customers are commercial food retailers, cold‑storage operators, and industrial process facilities that run large‑scale refrigeration plants and seek to reduce energy costs while maintaining strict temperature compliance.
Features
- Real‑time price‑aware setpoint adjustment using a rule‑based optimizer and machine‑learning forecasts
- Automated enrollment and bidding in regional flexibility and demand‑response markets via standardized APIs
- Predictive health analysis that models compressor performance, detects leakage, and flags control deviations
- Early‑warning alerts and prescriptive maintenance work orders delivered through existing HMI/SCADA interfaces
- Compatibility with legacy PLCs and BMS controllers; no hardware retrofits required
- Cloud‑hosted analytics dashboard with KPI visualizations, cost‑saving reports, and compliance tracking
- Secure, encrypted data transport (TLS) and role‑based access control meeting industry food‑safety standards