Skip to main content
BL

Boson Labs

Boson Labs offers an AI-powered Building Energy Modeling platform that enables architects and engineers to create code-compliant energy models in minutes using either a natural language interface or a guided workflow. This technology streamlines the design process, enhances energy efficiency, and ensures compliance with evolving energy standards, ultimately reducing emissions in building operations.

CanadaFounded 2024610+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Creating accurate building energy models (BEMs) is a time-consuming and complex process, often requiring specialized expertise and detailed manual input. Traditional BEM workflows can be a bottleneck in the design process, hindering rapid iteration and delaying project timelines.

Solution

Boson Labs provides an AI-powered platform that streamlines the creation of code-compliant building energy models. The platform offers two approaches: a natural language interface where users describe building requirements, and a guided workflow for step-by-step model creation. By leveraging AI, Boson Labs enables architects and engineers to generate detailed energy models in minutes, facilitating faster design cycles and improved energy efficiency. The platform supports various geometry definitions and generates models in industry-standard IDF or epJSON formats.

Target Audience

The primary users are architects, engineers, and building design professionals who need to create code-compliant building energy models quickly and efficiently.

Features

  • AI-powered natural language interface for describing building requirements and generating energy models
  • Guided workflow for step-by-step creation of detailed energy models
  • Support for diverse geometry definitions and cutting-edge building designs
  • Compliance support for USA, Canadian, and other energy standards
  • Output of building models in IDF or epJSON format
This profile is AI-generated and may contain inaccuracies.