Tagup

Tagup’s AI-powered HVAC optimization technology helps building owners and operators reduce operating costs and carbon emissions without sacrificing building comfort. HVAC systems are often tremendously inefficient but expensive to replace, leading to wasted energy and significant emissions amid tightening regulatory targets. Our technology uses advanced machine learning models to autonomously and continuously optimize setpoint controls to ensure HVAC systems run at peak efficiency at all times, resulting in lower energy costs, reduced emissions, and extended equipment life.

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Tagup’s AI-powered HVAC optimization technology, called Manifest, helps building owners and operators reduce operating costs and carbon emissions without sacrificing building comfort.

Commercial HVAC systems are critical to maintaining comfortable, healthy indoor environments. But HVAC systems are often tremendously inefficient, posing a number of challenges for owners and operators:

Wasted energy and missed optimization opportunities: Nearly one-third of the energy consumed by commercial buildings is wasted, and opportunities to optimize energy consumption are regularly missed.
Limited optimization technology: HVAC system performance data is siloed across complex systems that have limited optimization capabilities, making it difficult to organize, access, and harness at scale.
Complex factors affecting performance: HVAC system performance not only depends on the nuanced relationships among system components, but also dynamic external factors.
Significant source of emissions: Commercial buildings are responsible for 16% of all US carbon emissions, and HVAC systems make up more than half of a commercial building’s energy use.
Tightening emissions standards: Legislation aimed at reducing building emissions is becoming increasingly prevalent, with sizable penalties for non-compliance.
Large capital investment for improvements: Retrofitting a commercial HVAC system can cost tens of thousands of dollars, and replacement costs range from six figures to over $1 million.

Tagup’s HVAC optimization software uses artificial intelligence to optimize and automate building controls, resulting in reduced operating costs and associated emissions without sacrificing tenant comfort. Tagup’s technology uses advanced machine learning (ML) models to dynamically and continuously adjust control settings in response to real-time, real-world changes in operating conditions, including utility rates, weather conditions, and how each component of the HVAC system is performing.

With Tagup’s AI-powered HVAC optimization technology, building owners and operators can:

Improve building efficiency: Optimize HVAC equipment operations to reach peak efficiency and peak comfort.
Lower operating costs: Decrease energy costs, boost property value, and unlock capital for investment in other areas.
Advance sustainability goals: Accelerate decarbonization journey, comply with green legislation to avoid fines, and leverage clean energy rebates and incentives.
Extend equipment life: Minimize wear and tear on assets to extend the remaining useful life of equipment, reducing maintenance and replacement costs.
Streamline energy reporting: Access all energy consumption and emissions data in a single platform to streamline emissions compliance reporting.

By continually optimizing setpoints, HVAC systems run at peak efficiency, resulting in up to a 30% decrease in energy consumption, emissions, and operating costs—delivered in weeks. These results improve over time as the ML models automatically and continuously learn from the operating data.

Tagup’s optimization software integrates directly with your building automation (BAS) or management system (BMS) with no costly downtime required.