JetScale AI, a Montreal-based startup, has developed an artificial intelligence platform that simplifies and automates cloud infrastructure optimization. As AI adoption drives rising costs, operational risks, and energy consumption, its solution identifies inefficiencies, prioritizes corrective actions, and reduces unused capacity. Backed by Cycle Momentum through the Origo program as part of its $5.4M seed round, the company is accelerating the deployment of a climate-impact technology that delivers both financial savings and measurable reductions in cloud-related carbon emissions.
Key takeaways
- Data centers consumed about 415 TWh of electricity in 2024 and the IEA projects that to more than double to 945 TWh by 2030, roughly Japan’s entire current consumption, with AI as the main driver.
- Wasted cloud spend climbed to 29% in 2026, the first increase in five years, as AI workloads outpace cost control (Flexera).
- JetScale AI turns cloud optimization from dashboards and tickets into prioritized, executable action plans, cutting cost, energy and carbon in the same motion.
Why is cloud efficiency a climate problem?
The cloud has an energy bill that’s growing faster than almost anything else on the grid. Data centers consumed around 415 TWh in 2024, about 1.5% of global electricity, and the IEA projects demand will more than double to 945 TWh by 2030, comparable to Japan’s total power consumption today, with AI as the single biggest driver (IEA, Energy and AI).
The waste side is just as striking. Organizations now estimate 29% of their cloud infrastructure spend is wasted, the first increase in five years, driven precisely by surging AI workloads (Flexera, 2026 State of the Cloud). Unused capacity isn’t just money burned; it’s electricity and carbon spent computing nothing.
The problem: optimizing the cloud is slow, manual work
With the rise of artificial intelligence, companies rely on cloud computing resources more than ever, which brings higher costs, operational risks, and significant energy consumption. Yet optimizing the cloud remains a long and complex task. Teams juggle dashboards, tickets, spreadsheets, and informal knowledge, and even when recommendations are provided, applying them correctly is difficult and time-consuming.
JetScale AI’s solution: an intelligent cloud assistant
JetScale AI’s platform uses artificial intelligence to simplify cloud optimization end to end. It quickly identifies problems, proposes clear and prioritized action plans, and delivers fixes that are easy to implement, either automatically or step by step. In practice, teams turn recommendations into action rapidly and accurately, making the cloud more reliable and efficient, and the savings show up in three currencies at once: dollars, kilowatt-hours, and tonnes of CO₂.
A strategic investment from Origo
Cycle Momentum’s investment through the Origo program marks a key milestone for JetScale AI, as part of its recently announced oversubscribed seed round. It validates the startup’s approach as a climate-impact solution, reducing cloud resource consumption and improving energy efficiency. Origo, designed to support early-stage climate tech in Quebec, provides both funding and access to the ecosystem, acting as a validation signal and a force multiplier.
“JetScale AI addresses a crucial need for modern businesses seeking efficient cloud computing. It reduces unused capacity in cloud infrastructures and, in doing so, generates savings in cost, energy, and carbon emissions related to AI computing. We are proud to support them in their ambition to build a Canadian champion in cloud optimization,” added Jennifer McDonald, Senior Vice President of Investments at Cycle Momentum.
How JetScale AI will use this support
With this funding, JetScale AI will enhance its platform to cover more cloud services and simplify team workflows, integrating with the tools companies already use: ticketing systems, code pipelines, and operational workflows. Strengthened teams will let the company support more clients quickly, while measuring and demonstrating the tangible impact of its solution in financial savings and carbon footprint reduction.
“Our solution is being rapidly adopted by our early clients, and this oversubscribed round confirms our vision. We are ready to accelerate innovation and expand our reach,” emphasizes Mehdi Merai, CEO of JetScale AI.
What’s next for JetScale AI?
JetScale AI plans to expand coverage to more cloud types and use cases, offer enhanced controls for large enterprises, and build dashboards that measure impact. The startup aims to turn pilots into large-scale deployments and expand across North America and Europe.
The company also fits a wider pattern in Cycle Momentum’s portfolio: making AI itself sustainable. Alongside Irréversible, which works on AI compatible with the planet’s physical limits, JetScale AI strengthens Quebec’s position in climate-tech innovation, turning the cloud into a simpler, more efficient, and more sustainable tool. Explore the startups Cycle Momentum supports to see the rest of the pipeline.
