Noviterm AI
Smart Climate Control
AI-powered predictive control for commercial buildings. Up to 30% energy savings and 40% CO2 reduction — without replacing your equipment.
The Problem
Beyond Legacy PID Control: The Shift to Proactive HVAC Management
Most Building Management Systems (BMS) are reactive. They only respond to temperature drops after they occur. Noviterm AI introduces Proactive Control: our system predicts weather shifts, building occupancy, and thermal inertia 4 hours in advance to prevent energy waste before it happens.
75%
Of commercial buildings in the EU are not energy efficient.
20–30%
Of energy is wasted through overheating, overcooling, and excess ventilation.
Class G
Legacy controllers act reactively, blind to upcoming weather and occupancy changes.
Our Solution
How Noviterm AI Works
A software layer that makes your existing HVAC system intelligent — no hardware replacement needed.
Connect
Our IoT gateway connects to your existing controllers via Modbus/BACnet. This edge-level gateway bridges your legacy equipment to our cloud natively, without expensive retrofits.
Learn
Our Cloud Brain creates a physics-informed digital twin of your building. It learns your building's thermal behavior, occupancy patterns, and energy profile within days using deep learning architectures.
Optimize
The system predicts weather, tariffs, and occupancy 4–12 hours ahead, using the building's thermal mass as a natural energy battery.
Our Technology
Physics-Informed AI
Our AI doesn't just find patterns — it understands the physics of your building. That's why it never "hallucinates" and always respects thermodynamic laws.
Pre-Trained on Simulations
Our model arrives 95% ready. It's trained on thousands of virtual building simulations before ever touching your real system — zero risk to your operations.
Constrained by Physics
Unlike standard neural networks, our models solve thermodynamic equations. Every prediction respects the laws of physics, ensuring safe and reliable control.
Rapid Deployment
The model fine-tunes itself to your specific building in 1–3 days. Shadow Mode proves value with zero risk before going live.
Proven Results
Measurable Impact
Our physics-informed AI delivers real, measurable savings from day one.
Different Buildings,
Same Results
From shopping malls and logistics hubs to corporate headquarters, airports, and universities — organizations use Noviterm AI to achieve measurable reductions in energy consumption.
By deploying our physics-informed AI, they reduce their carbon footprint, enhance operational performance, and position themselves as sustainability leaders.
Start Your Transformation
Equipment Management
Simple Settings Control
Quickly adjust equipment settings across your building portfolio in real-time.
Tailored Equipment Schedules
Ensure your equipment runs only when needed with our easy-to-use scheduling tool.
Automated Logic
Configure custom automation logic to handle complex scenarios automatically.
Why Noviterm
A New Approach to Building Control
| Traditional BMS | Noviterm AI |
|---|---|
| Reactive — responds to problems after they happen | Predictive — looks 4–12 hours into the future |
| Requires expensive historical data from premium sensors | Works with existing sensors and "dirty" data |
| Black-box ML with unexplainable decisions | Physics-informed AI — every decision is explainable |
| Cloud-dependent, expensive compute | Runs on edge devices, works even without internet |
| 3+ months manual calibration | Deployed and optimizing within 24 hours |
Our Team
Built by Engineers, for Engineers
Our team combines deep HVAC engineering expertise with cutting-edge AI research. We understand both the physics of buildings and the mathematics of optimal control.
We're hiring — join us →Get Started
Start With a Free Audit
We begin in Shadow Mode — monitoring your building with zero risk to your equipment. See the savings potential before committing.
Contact Us