Comparative Performance Economics
The 72Energy physics-native AI platform collapses legacy decarbonization barriers, delivering sub-second simulations at near-zero unit costs.
99.9%
Cost Reduction
$2 compute query vs. $1.5M legacy manual engineering fees for portfolio audits.
13,000x
Audit Velocity
Sub-second physics-AI simulations outperform weeks of manual asset modeling.
Day 1
Asset Insight
Eliminate 3-8 month deployment cycles for immediate capital improvement roadmaps.
160x
Energy Efficiency
Physics-first architecture reduces inferential energy consumption and CO2 output.
ENGINEERING INFRASTRUCTURE
Physics-Native AI for Industrial Portfolios
Scale intelligence across energy-critical assets with physics-native precision. Validated net-zero roadmaps in seconds, not months.
TIME EFFICIENCY
160x Faster
Simulation velocity breakthrough
POWER USAGE
160x Less
Reduced compute carbon
ANNUAL SAVINGS
99.9% Lower
Audit & compute expenditure
VELOCITY
Day 1 Insight
Instant infrastructure impact
The Efficiency Cascade
Physics-AI Performance Matrix
Statistical AI
72Energy Cascade
Infinite GPU hours / training
160x Faster / Seconds
3.5M gal water waste/training
3.5M x Less water usage
High CO2 inference cycles
Near-zero carbon footprint
AI Infrastructure Impact
Our physics-native AI architecture eliminates the heavy environmental debt of traditional machine learning while accelerating ROI for building portfolios.
- Water: 3.5M x Waste Reduction
- Cost: <$0.01 per Simulation
- CO2: Near-Zero Operational Footprint
“Digital twins cut Google’s data center cooling by 40% — our physics-AI cascade brings that enterprise capability to every complex building portfolio.”
160x Faster
Eliminate simulation bottlenecks across multi-asset real estate portfolios.
3.5M x Less
Water consumed per cycle versus legacy statistical training sessions.
40% Gain
Proven reduction in total cooling energy demand through deep modeling.
Near-Zero
Carbon footprint per inference cycle at commercial portfolio scale.
18 Months
Deferred capital through system optimization and health analytics.
<$0.01
Economic cost per physics-native building simulation.
AI data centers: 415 → 945 TWh by 2030 (IEA) — our cascade ensures engineering efficiency before the compute cycles begin.
Engineered for Scale: Physics-AI Solutions
Physics-Native Modeling
Move beyond statistical inference. Our AI architecture embeds thermodynamic laws to deliver 95% accuracy in energy assessments with minimal data requirements.
Deep Portfolio Intelligence
Identify high-yield infrastructure upgrades across thousands of assets. Optimize building envelopes and HVAC systems through high-fidelity physics simulations.
Our story
Every journey starts with an ambition. Our goal was to accelerate environmental transition, and in doing so, create employment through innovation. But now we believe that virtuous Sustainability is the way forward.
72Energy™ was built to embed physics-first principles into the machine learning era. By codifying fundamental engineering constraints directly into our AI architecture, we ensure every net-zero roadmap we produce is not only technically viable but physically consistent with the systems it optimizes.
FOUNDER & CHIEF ENGINEER
Two decades in global infrastructure revealed a critical gap between decarbonization ambition and the physical constraints of assets. Scaling sustainability across industrial portfolios demands more than statistical patterns; it requires rigorous adherence to thermodynamic principles.
Portfolio Performance Assessment
Connect with our technical team to discuss physics-native AI integration and infrastructure roadmaps.
Info@72energy.com
72 5th Ave, New York, NY 10021