neos
neos provides an AI-driven energy management system that helps large real estate portfolios reduce energy costs by up to 20% through optimized consumption across multiple buildings. The platform applies machine learning to building energy systems, enabling portfolio managers, asset managers, and sustainability leads to monitor and control energy usage centrally.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Energy
- Property Technology
- Software Only
Funding
Founders
Product
Problem
Large real estate portfolios face significant energy expenses across multiple buildings, yet lack a unified system to monitor and optimize consumption holistically. Traditional energy management approaches are fragmented, making it difficult to identify inefficiencies, reduce waste, and achieve meaningful cost savings across an entire property portfolio.
Solution
neos delivers an Energy Management System (EMS) that applies artificial intelligence to building energy systems, enabling large real estate portfolios to save up to 20% on energy costs. The platform centralizes energy data from multiple buildings, using machine learning algorithms to detect consumption patterns, identify optimization opportunities, and automate energy-saving measures. By providing a portfolio-wide view, neos allows property managers to benchmark performance, prioritize interventions, and track savings across all assets in real time. The system is designed to integrate with existing building infrastructure, minimizing disruption while maximizing operational efficiency.
Target Audience
Primary customers are portfolio managers, asset managers, and sustainability leads at large real estate firms who need to reduce energy costs and meet sustainability targets across their building portfolios.
Features
- AI-powered analytics that identify energy inefficiencies and recommend optimization actions across building portfolios
- Centralized dashboard for monitoring consumption, costs, and savings across multiple properties
- Automated energy optimization controls that adjust building systems based on real-time data and predictive models
- Portfolio benchmarking tools to compare performance across assets and identify underperforming buildings
- Tenant consent management workflow to facilitate data collection and energy optimization in occupied buildings
- EPC assessment integration to support energy performance certification and compliance reporting