Reengen
Reengen Energy IoT Platform is a PaaS analytics solution for Global Energy & Utilities Industries. Reengen’s data science centric technology employs machine learning algorithms, big data analytics and a physics-based modeling of connected equipment, buildings and grid. The platform includes connectivity, device cloud, business logic, big data analytics and remote service applications. The value propositions are energy efficiency, operational efficiency, energy procurement optimization and predictive maintenance. Reengen's Energy IoT Platform Delivers a comprehensive IoT technology stack that enables partner companies to: • securely connect meters, sensors, equipment, assets and SCADA/BMS/Metering platforms • apply data analytics libraries for actionable intelligence in a scalable way, quickly create great dashboards and reports • innovate new ways to capture value and create new revenue streams from digital energy domain
Reengen
Reengen Energy IoT Platform is a PaaS analytics solution for Global Energy & Utilities Industries. Reengen’s data science centric technology employs machine learning algorithms, big data analytics and a physics-based modeling of connected equipment, buildings and grid. The platform includes connectivity, device cloud, business logic, big data analytics and remote service applications. The value propositions are energy efficiency, operational efficiency, energy procurement optimization and predictive maintenance. Reengen's Energy IoT Platform Delivers a comprehensive IoT technology stack that enables partner companies to: • securely connect meters, sensors, equipment, assets and SCADA/BMS/Metering platforms • apply data analytics libraries for actionable intelligence in a scalable way, quickly create great dashboards and reports • innovate new ways to capture value and create new revenue streams from digital energy domain
TL;DR
Headquarters: Sariyer, Istanbul, Turkey
Founded: 2013
Product: Energy IoT PaaS for utilities & industrial energy management
Tech focus: Machine learning, big data analytics, physics-based modeling
Employees (approx.): 18
Known funding: Total reported $900,000; latest Oct 1, 2020 (Non-equity Assistance)
Company Overview
Problem Domain
Energy & utilities — energy efficiency, operational efficiency, procurement optimization, predictive maintenance
Founded
2013
Industry
Energy / Industrial IoT / SaaS
Tech Stack
Funding Track Record
Latest recorded funding event listed as Non-equity Assistance on Oct 1, 2020
Investor Signal
“Has multiple investors including RElab and Onur Kavak; Crunchbase lists nine investors”