The industrial facility energy manager is a lonely job. The spreadsheets are endless, the grid tariffs are a mystery, and the boss just wants to know why the electricity bill is so high. Edgecom Energy, a Toronto-based software company founded in 2016, is betting that the person in that job is ready for an AI sidekick [Edgecom.ai].
Co-founders Behdad Bahrami and Mehdi Parvizi built the company from the inside out. Bahrami spent over a decade as an energy manager at a large plastic manufacturing facility, and Parvizi holds a Ph.D. in Power and Energy Systems from the University of Waterloo [Edgecom.ai/team/]. Their platform stitches together real-time data from on-site LoRa IoT devices and the grid, then layers on a generative AI assistant they call Edi [Edgecom.ai/ai-copilot/].
A bet on data over hardware
Edgecom’s wedge is visibility, not hardware. Its software platform aggregates facility-level consumption data with external grid signals, aiming to spot inefficiencies and predict costly demand peaks before they happen. One of its flagship modules, pTrack, claims 99% accuracy in predicting peak demand charges in the PJM grid region [Edgecom.ai/ptrack/].
The quiet traction of an industry insider
The company has raised an undisclosed seed round, with participation from ABB Electrification Ventures and GreenSky Ventures [Crunchbase, 2025]. Bahrami was named Energy Innovator of the Year for 2024 by the Association of Energy Engineers [Edgecom.ai/blog, 2024].
| Role | Name | Background |
|---|---|---|
| Co-founder & CEO | Behdad Bahrami | Former energy manager at a large plastic manufacturing facility; 2024 AEE Energy Innovator of the Year |
| Co-founder & CTO | Mehdi Parvizi | Ph.D. in Power and Energy Systems from University of Waterloo |
| CRO & Managing Partner | Sean Mirrahimi | Professional Engineer (P.Eng.) |
Where the grid gets complicated
The industrial energy management software space is fragmented. Edgecom’s differentiation hinges on the depth of its AI-driven insights, but proving that its software can consistently deliver savings that justify its cost is the perpetual challenge. Industrial sales cycles are long, and integrating with legacy facility control systems is rarely a plug-and-play affair.
The math on megawatt-hours
The unit economics of industrial energy software are clear. A mid-sized manufacturing facility might have a peak demand of 5 megawatts and pay a demand charge of $15 per kilowatt-month. Missing a peak by just 15 minutes could cost $7,500 in a single month. If Edgecom’s pTrack software can reliably shave even 10% off that peak across a year, the savings would run into the tens of thousands of dollars, easily covering a five-figure SaaS subscription.
Edgecom’s ultimate test will be whether it can become the indispensable tool for the industrial energy manager faster than the incumbent building automation giants can make their own systems smarter.
Sources
- [Edgecom.ai] Homepage and product pages | https://edgecom.ai/
- [Edgecom.ai/team/] Team page | https://edgecom.ai/team/
- [Edgecom.ai/blog, 2024] Energy Innovator Award announcement | https://edgecom.ai/blog/behdad-bahrami-energy-innovator-of-the-year-award/
- [Crunchbase, 2025] Seed round funding | https://www.crunchbase.com/organization/edgecom-energy
- [LinkedIn (Julie Boyce)] Post referencing Sean Mirrahimi's role | https://www.linkedin.com/posts/julieboyce_energyefficiency-innovation-sustainability-activity-7234567890123456789