Ashish Jerry Justin
CEO
CI
Carnot Innovations
6/10Traction
Carnot Innovations offers an AI-based predictive maintenance platform that utilizes machine learning algorithms to detect and predict faults in HVAC systems, optimizing energy consumption and operational efficiency. By addressing inefficiencies in building management systems, the platform reduces energy costs by up to 15% and uncovers over 90% of hidden faults, leading to significant sustainability benefits.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Enterprise Software
- Internet of Things
- Software Only
Updated 22 months ago
Funding
Raised to date
$800KRaised 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.
Entrepreneurs FirstNo round attributed
- Source unavailable
Funding rounds are not available yet.
Founders
Product
Problem
Inefficient manual control and lack of fault detection in HVAC systems lead to significant energy waste and increased operational costs for buildings. Undetected equipment faults and suboptimal settings contribute to as much as 20% of a building's operating budget being wasted.
Solution
Carnot Innovations offers an AI-powered analytics platform that optimizes HVAC energy consumption and predicts equipment maintenance needs. The platform uses machine learning algorithms to analyze data from existing building management systems (BMS) and IoT sensors, detecting deviations from normal operation patterns. By providing actionable insights and automated energy optimization controls, Carnot enables facility managers to perform targeted defect rectifications and achieve continuous commissioning. The system identifies both energy efficiency opportunities and maintenance notifications, leading to reduced energy costs and improved operational efficiency.
Target Audience
The primary target audience includes facility managers, building owners, and operators looking to reduce energy costs, improve operational efficiency, and enhance the sustainability of their buildings.
Features
- AI-driven energy optimization that automatically converts insights into energy savings based on individual building data.
- Predictive maintenance capabilities that detect and predict equipment faults in HVAC systems such as chillers, pumps, and air handling units.
- Seamless integration with existing BMS, running in parallel without overriding existing controls.
- Data visualization tools that provide customized charts and in-depth insights from sensor data.
- Support for both water-side and air-side HVAC systems.
- Data acquisition from existing BMS sensors and remote IoT devices.
- Prescriptive insights that identify maintenance notifications and energy efficiency opportunities with actionable outcomes.