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Preflet

Preflet Energy AI Platform utilizes machine learning to analyze multidimensional data, including smart meter readings and climate information, to generate actionable insights for improving energy efficiency in buildings. This technology enables property managers to reduce energy costs and carbon emissions without the need for significant hardware investments or technical expertise.

Traction 10/10
Paris, France · HQ
Founded 2023101K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Clean Technology
  • Enterprise Software
  • Software Only
Updated 23 months ago

Funding

Raised to date

$444.5KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

2 founders

Shailendra Tomar

CEO

Franck Euvrard

Co-Founder/CEO

Product

Problem

Many buildings lack efficient energy management systems, leading to wasted energy, increased operational costs, and higher carbon emissions. Traditional methods for improving energy efficiency often require significant upfront investments in hardware and specialized technical expertise.

Solution

Preflet Energy AI Platform is a SaaS solution that leverages machine learning to analyze building energy data and provide actionable insights for improved efficiency. The platform integrates multidimensional data, including smart meter readings, building benchmarks, and climate information, to identify energy-saving opportunities. By transforming raw data into implementable actions, Preflet enables property managers to reduce energy consumption and carbon footprint without expensive hardware or extensive technical knowledge. The AI-powered platform simplifies data acquisition, provides portfolio-level energy performance analysis, and estimates carbon footprint reduction potential.

Target Audience

Preflet targets real estate management companies, retail chain stores, and warehouse logistics operators seeking to reduce energy costs and improve sustainability.

Features

  • AI-driven analysis of energy usage patterns and external factors like climate
  • Automated identification of energy-saving actions tailored to specific buildings
  • Portfolio-level dashboards for tracking energy performance across multiple properties
  • Carbon footprint estimation and reporting to support sustainability initiatives
  • Simplified data acquisition process, minimizing the need for manual data entry
  • Integration with existing smart meter infrastructure
  • Mobile and cloud access for 24/7 monitoring and control
This profile is AI-generated and may contain inaccuracies.