In a city, the difference between a comfortable park and a stifling concrete canyon can be a matter of meters. It’s a problem of geometry, material, and airflow, one that has traditionally required weeks of specialized modeling to understand. Planète GreenLeaves, a Montreal startup founded in 2021, is trying to shrink that timeline to the length of a coffee break.
The company’s product, CityDigitalTwin, is a simulation platform that promises to model microclimates, outdoor thermal comfort, urban heat islands, and building energy use in near real-time [F6S]. The intended users are municipal planners and property developers, the people who decide where to plant trees, how to orient a building, or what material to use for a new plaza. The bet is that by making the invisible physics of a city block instantly visible, better, more resilient design decisions will follow.
The physics of a city block
At its core, the platform is a specialized calculator. It ingests data on a proposed urban design,building shapes, surface materials, vegetation,and runs high-resolution simulations to predict outcomes like pedestrian thermal comfort, energy demand for heating and cooling, and localized temperature variations [Planète GreenLeaves, retrieved 2024]. The promise of speed is central to the pitch; the company claims studies that once took weeks can be completed in minutes [app.greenleaves.app, retrieved 2024]. For a planner weighing a dozen design variants for a new district, that shift from batch processing to interactive tweaking could change the workflow entirely.
The founding team, Ali Katal and Mohammad Mortezazadeh, both hold PhDs in Building and Environmental Engineering from Concordia University and bring over a decade of research experience in the specific fields the platform addresses [Crunchbase, retrieved 2024]. This isn’t a generic software team applying AI to a new domain; it’s domain experts building the tool they wished they had. Katal, the CEO, and Mortezazadeh, the CTO, have built their careers on the academic side of urban microclimate and energy modeling. The transition from publishing papers to selling software is a classic, and challenging, climate-tech pivot.
| Founder | Role | Background |
|---|---|---|
| Ali Katal | Co-founder & CEO | PhD in Building and Environmental Engineering, Concordia University; over 10 years in urban microclimate and energy modeling research [Crunchbase, retrieved 2024]. |
| Mohammad Mortezazadeh | Co-founder & CTO | PhD in Building and Environmental Engineering, Concordia University; over 10 years of research in urban microclimate, energy modeling, and climate-resilient design [Crunchbase, retrieved 2024]. |
The quiet pre-seed
Public information on Planète GreenLeaves is notably sparse. There are no announced funding rounds, no named lead investors, and no customer case studies visible in the usual tech press [F6S]. The company appears to be operating in a very early, perhaps bootstrapped or angel-funded, pre-seed stage. For a tool targeting municipal sales cycles, this lack of visible commercial traction is a significant headwind. Selling to city governments is a famously long game, requiring patience, references, and often a track record of successful pilots elsewhere.
The competitive landscape for urban digital twins is also crowded with well-funded incumbents and sprawling platforms from giants like Autodesk and Siemens. Planète GreenLeaves is not trying to build a full-scale city operations dashboard. Its wedge is specificity: high-resolution environmental physics, not traffic flows or utility networks. The question is whether that focused wedge is sharp enough to cut through a sales process that typically favors comprehensive, one-stop-shop solutions.
Where the model meets the street
The risks for the company are straightforward, if formidable.
- The sales cycle. Municipal procurement is slow and relationship-driven. A startup with no publicly disclosed customers has yet to prove it can navigate that maze.
- The feature race. Large architecture and engineering firms often develop in-house simulation tools. The platform must be demonstrably better or faster than those internal solutions to justify an external spend.
- The data hurdle. The accuracy of any digital twin depends on the quality of its input data. Convincing planners to trust the platform’s outputs will require transparent validation against real-world measurements.
For now, the company’s path is one of pure technical validation. The founders’ research credentials suggest they can build a competent engine. The next, harder test is whether anyone will buy it.
Doing a back-of-the-envelope check, the energy impact of better urban design is not trivial. Mitigating an urban heat island effect in a single neighborhood by just one degree Celsius can reduce peak cooling demand for surrounding buildings by 2-5%. For a large development, that could translate to hundreds of kilowatts of avoided load and thousands of tons of CO2 never emitted over a building’s lifetime. The unit of climate impact here isn’t the simulation, but the megawatt-hour of air conditioning that never needs to be generated. To capture that value, Planète GreenLeaves must beat the incumbent not in a lab, but in a city planning office: it must be more useful than the spreadsheet and the consultant’s report that have been the default tools for decades.
Sources
- [F6S] Planète GreenLeaves company profile | https://www.f6s.com/company/plan-egreenleaves
- [Planète GreenLeaves, retrieved 2024] Company website | https://www.greenleaves.app/
- [app.greenleaves.app, retrieved 2024] CityDigitalTwin platform | https://app.greenleaves.app/
- [Crunchbase, retrieved 2024] Company and founder profiles | https://www.crunchbase.com/organization/plan%C3%A8te-greenleaves
- [StartUs Insights, retrieved 2025] Planète GreenLeaves profile | https://www.startus-insights.com/innovators-guide/planete-greenleaves-urban-microclimate-simulation/