Sapient provides an enterprise plug load management system that utilizes machine learning to collect and analyze granular energy data from buildings. This technology addresses the lack of actionable insights for facility and sustainability teams, enabling them to implement targeted energy efficiency measures and achieve carbon reduction goals effectively.
Funding
$20M raised to dateRaised 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.
Founders
Product
Problem
Facility, energy, and sustainability teams lack actionable data, hindering their ability to implement targeted energy efficiency measures in buildings. Irrelevant data silos prevent empirical, capital-efficient approaches to building efficiency, leaving organizations reliant on generic assumptions. This lack of granular insight makes it difficult to meet carbon reduction goals effectively.
Solution
Sapient offers a turnkey energy digitization and optimization platform that provides granular energy data and actionable insights for efficient building management. The system combines next-generation electricity metering, advanced software, and building science services to deliver a comprehensive energy intelligence platform. By metering every circuit in every panel, Sapient provides visibility into building, system, and equipment-level energy consumption. This allows facility teams to plan, prioritize, and measure the impact of energy efficiency projects, enabling them to achieve carbon, financial, and operational goals ahead of schedule and under budget.
Target Audience
Sapient targets facility, energy, and sustainability teams within large enterprises seeking to improve building energy efficiency and meet carbon reduction targets.
Features
- Comprehensive electricity metering on every circuit in every panel as a standard.
- Granular insights at the building, system, and equipment level, not just sensor data.
- Empirical measurement and verification of energy efficiency project impact.
- Standalone operation or integration with existing Building Automation Systems (BAS).
- Cloud-based platform for data collection, analysis, and reporting.
- Machine learning algorithms to identify energy waste and optimization opportunities.
- Grid-responsive capabilities to support the integration of renewable energy sources.