33%
Buildings devour the planet's energy
The built environment accounts for roughly one-third of global energy consumption and a similar share of CO₂ emissions — making it the single largest decarbonization opportunity on Earth.
Deep-tech · Climate AI · Pre-seed
From smart buildings to autonomous, energy-optimized neighborhoods.
HomaDynamics is the AI-powered digital brain for buildings. Our physics-informed digital twins cut HVAC energy consumption by 20%+ — without replacing a single piece of hardware.
20%+
HVAC energy saved
1/3
Of global energy use
0
Hardware to replace
24/7
Autonomous control
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The problem
Buildings are the climate crisis — and nobody's actually fixing them.
HVAC, lighting and controls in commercial real estate waste enormous amounts of energy every day. The tools meant to manage them haven't fundamentally changed in 30 years.
1990s
Building Management Systems are stuck in time
Legacy BMS run on static rules and reactive schedules. They don't learn, don't predict, and can't adapt to weather, occupancy, or grid signals in real time.
?
No trustworthy, auditable optimization
Operators and owners don't trust black-box AI controlling their critical infrastructure. The market needs explainable, physics-grounded systems that regulators and insurers can verify.
The solution
A digital brain for every building.
HomaDynamics is a physics-informed digital twin paired with AI optimization. It learns how your building actually behaves — then runs it better than any human or rule-based system can.
Physics-informed digital twin
We fuse first-principles thermodynamics with machine learning. The result: models that respect physical reality, generalize across buildings, and stay accurate even with sparse data.
AI optimization & control
Reinforcement-learning agents run continuous what-if simulations against the twin, then push setpoints that minimize energy while honoring comfort, equipment and grid constraints.
Hardware-free retrofit
We connect over BACnet, Modbus and existing IoT to your current BMS. No rip-and-replace. Deployment in weeks, not years — and ROI from day one.
Auditable & explainable
Every decision the system makes is traceable to a physical model and a measurable KPI. Built for engineers, regulators and insurers — not just data scientists.
How it works
From raw signals to autonomous control, in three layers.
01
Data ingestion
We stream live data from BMS, sub-meters, IoT sensors and weather APIs into a unified, time-series fabric — normalized and tagged automatically.
- BACnet · Modbus · MQTT
- Weather & grid signals
- Occupancy & sub-metering
02
Digital twin modeling
A physics-informed model of every zone, system and piece of equipment is calibrated to your building. It predicts thermal behavior minutes to hours ahead.
- Thermodynamic first principles
- Continuous online calibration
- Per-zone fidelity
03
Predictive optimization
An AI agent searches thousands of control strategies against the twin every cycle and writes back the optimal setpoints — safely and explainably.
- MPC + reinforcement learning
- Comfort & safety guardrails
- Closed-loop or advisory
Market opportunity
Canada first. A global wedge into the built environment.
We launch into the Canadian market — where federal and provincial decarbonization mandates are creating immediate, regulation-driven demand — and expand into a global market measured in trillions of square feet.
Beachhead
Canada 🇨🇦
Carbon pricing, building performance standards and net-zero retrofit incentives are forcing owners to act. Concentrated CRE portfolios mean a small number of decision makers can unlock thousands of buildings.
$B+
Retrofit incentives
10k+
Eligible buildings
2030
Net-zero targets
Expansion
Global
EU, US and APAC follow the same regulatory curve. Our platform scales horizontally — one model architecture, every climate.
Commercial buildings
Offices, retail, mixed-use — the fastest payback and highest density of HVAC waste.
Multi-unit residential
Large MURB portfolios face escalating energy costs and tenant comfort complaints.
Municipalities & campuses
City-scale optimization across schools, hospitals and public buildings.
Vision
One building today. Responsive neighborhoods tomorrow.
Smart buildings are step one. Our long-term mission is portfolio-level and city-scale optimization — buildings that talk to each other and to the grid, balancing energy, comfort and emissions across entire districts.
Traction
Early signals, strong foundation.
Pilot
Live pilot deployments
Active proof-of-concept installations with commercial real estate partners validating energy savings.
Research
Academic foundation
Built on years of peer-reviewed research in physics-informed ML and building energy modeling.
Partners
Early industry partners
Initial conversations with property owners, BMS integrators, and decarbonization consultants.
Team
Founders building at the edge of climate and AI.
A small, technical founding team combining deep expertise in machine learning, building physics, and enterprise deployment.
Sanam Dabirian
CEO & Co-founder
Strategy, fundraising, partnerships.
Shahin Masoumi
CTO & Co-founder
AI architecture and digital twins.
Alireza Daneshvar
Chief Scientist
Physics-informed ML and building science.
Mohammad Kermani
Head of Engineering
Platform, deployment and integrations.
Funding
We're raising a pre-seed round.
We're talking to mission-aligned investors, accelerators and design partners who want to build the operating system for the decarbonized built environment.
- Pre-seed round open
- Pilot partners welcome
- Engineers — we're hiring