Saving with Adaptive Automation Across a Portfolio of Properties
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Verdigris Adaptive Automation
Tech Stack
- AI
- Real-time Data Processing
- Building Management Systems (BMS)
Implementation Scale
- Departmental Deployment
Impact Metrics
- Cost Savings
- Energy Saving
Technology Category
- Functional Applications - Remote Monitoring & Control Systems
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Buildings
Applicable Functions
- Facility Management
Use Cases
- Building Energy Management
- Predictive Maintenance
Services
- System Integration
About The Customer
Innovatus Capital Partners is a New York-based boutique specialty finance firm managing $1.6 billion in assets. The firm focuses on capitalizing on disruption and growth opportunities, particularly in the commercial real estate sector. Innovatus is committed to integrating emerging technologies across its nationwide portfolio of commercial buildings to enhance operational efficiency and reduce costs. The firm operates in various locations, including California and Florida, and is known for its innovative approach to asset management. By leveraging real-time data and AI, Innovatus aims to optimize energy usage and improve the performance of its properties, aligning with its investment objectives.
The Challenge
Innovatus Capital Partners, a New York-based boutique specialty finance firm with $1.6 billion in assets under management, faced the challenge of integrating emerging technologies across its nationwide commercial building portfolio. With a focus on capitalizing on disruption and growth, Innovatus recognized the opportunity to use real-time data and AI to reduce energy costs. The firm turned to Verdigris to implement Adaptive Automation at three initial properties in Orlando, FL, Miami, FL, and San Rafael, CA. The challenge was to optimize energy usage and demand savings in these commercial office buildings, which ranged from 120,000 to 165,000 square feet.
The Solution
The solution involved implementing Verdigris Adaptive Automation, which functions similarly to a self-driving system for buildings. This technology enables building management systems (BMS) to autonomously adapt to changing conditions, ensuring continuous and optimized performance. The approach combined real-time, high-frequency data from Verdigris energy meters with data from the BMS and third-party sources like weather data. Verdigris' AI used this data to develop forecasts on a 15-minute interval. The focus was on optimizing two key areas: reducing overnight chiller and pump usage and slightly relaxing supply temperatures during the day. By doing so, the system aimed to make the cooling supply more responsive to building demand without compromising occupant comfort.
Operational Impact
Quantitative Benefit
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