NanoTech Launches Roovie Platform for Energy Modeling

The new AI-driven software evaluates building energy performance to help prioritize efficiency upgrades.

Updated on Oct. 23, 2026 in Energy

Isometric editorial illustration of a modular building energy model composed of matte block components, representing structural thermal efficiency. — NanoTech released the Roovie energy modeling platform in October 2026 to analyze thermal performance and prioritize building efficiency upgrades. AI Illustration. Upload story photo >

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Do you trust AI-generated models to guide your property or facility investment decisions?

In October 2026, NanoTech introduced the Roovie platform via a limited beta program to analyze thermal coating performance. The system utilizes AI agents to generate building-specific models based on design documents and operational data.

Why it matters

The platform aims to accelerate the evaluation of energy performance across various building types. It offers a structured approach to managing energy costs and prioritizing necessary building efficiency upgrades.

The simulation engine is validated against ASHRAE Standard 140 and uses 12 months of utility data for model calibration. The platform requires user authorization for all proposed changes before they are integrated into the building model.

The players

NanoTech

NanoTech is a technology firm that develops thermal coatings and related infrastructure software solutions.

The details

AI agents develop building-specific models by processing architectural drawings and design documents alongside historical operational data. A heat balance simulation engine then evaluates systems and components on an hourly basis to inform financial analysis, including payback periods and capital spending limits.

The Roovie platform was introduced through a limited beta program in October 2026.
The simulation engine evaluates building systems hourly throughout the year.
Property models are calibrated using 12 months of utility data.

The Big Picture

The platform's use of ASHRAE Standard 140 as a benchmark for simulation validation follows the established industry practice for testing building energy analysis software. This integration signals a shift toward automating complex regulatory compliance and performance modeling in commercial real estate.

Building owners and facility managers could see more precise recommendations for efficiency upgrades and clearer financial projections regarding capital investments. As the platform matures, it may facilitate more accurate energy budgeting by providing automated, hourly simulations of building performance.

The takeaway

AI-driven energy modeling offers a scalable method to identify which efficiency upgrades will yield the fastest return on investment. Stakeholders should focus on high-quality, long-term utility data to ensure these digital models accurately reflect real-world building performance.