JetScale AI Raises $5.4M Oversubscribed Seed Round

JetScale AI Secures an Oversubscribed $5.4 Million Seed Round to Revolutionize Cloud Infrastructure Optimization

The AI funding landscape continues to witness remarkable momentum as Montreal-based JetScale AI announces the successful closing of a $5.4 million seed funding round — one that notably exceeded its initial targets, making it an oversubscribed round backed by some of the most credible names in the North American technology investment ecosystem. This latest AI funding news underscores a growing investor conviction in AI-powered cloud infrastructure solutions, particularly at a time when enterprises worldwide are grappling with skyrocketing cloud costs and the mounting pressure of AI workloads on digital infrastructure. JetScale AI's milestone is not just a financial win — it signals a broader shift in how the technology industry is beginning to view cloud cost management as both a financial and an environmental imperative.

The company, founded and headquartered in Montréal, Quebec, has been steadily building its reputation as a disruptive force in the cloud FinOps space. With an AI-powered platform that addresses one of the most persistent pain points in modern enterprise IT — the spiraling cost and complexity of cloud infrastructure — JetScale AI has positioned itself at the intersection of cost efficiency, operational reliability, and sustainable technology practices. The oversubscribed nature of the round is a strong endorsement from the investor community and reflects the urgency with which organizations across industries are seeking smarter, automated solutions to manage and optimize their cloud environments.

The Powerhouse Team Behind JetScale AI

At the helm of JetScale AI are two seasoned technology entrepreneurs, Mehdi Merai and Gabriel De Lisi, who bring a wealth of experience and a proven track record in the AI and machine learning space. The duo previously co-founded Dataperformers, a pioneering machine learning company that they successfully scaled and eventually exited — a journey that gave them deep, hands-on insight into the challenges of building and optimizing AI-driven platforms. Their firsthand understanding of enterprise-level cloud complexity is central to the philosophy behind JetScale AI's product development and go-to-market strategy.

What makes the founding story of JetScale AI particularly compelling is the involvement of Diagram, a venture studio model that has been instrumental in co-founding the company. Diagram is no stranger to building impactful Canadian technology companies — it has previously established Nesto and Dialogue, two businesses that have made significant marks in their respective industries. Diagram's involvement lends both strategic credibility and operational depth to JetScale AI's growth trajectory. This unique co-founding model ensures that JetScale AI benefits not only from capital but also from the operational frameworks, networks, and institutional knowledge that Diagram has cultivated over years of building and scaling Canadian tech ventures.

The leadership team's combined expertise in artificial intelligence, machine learning, and enterprise software gives JetScale AI a distinctive edge in a market that increasingly demands solutions capable of handling large-scale infrastructure with precision, speed, and intelligence. Merai's vision for making cloud optimization "more accessible, reliable, and sustainable" is not just a mission statement — it is built into the core architecture of the platform and reflects the day-to-day realities of enterprise IT teams that have long been underserved by fragmented, manual processes.

Who Is Backing JetScale AI and Why It Matters

The $5.4 million seed round was co-led by the Seed Venture Fund of the Business Development Bank of Canada (BDC) and the Diagram ClimateTech Fund — two institutional investors with a strong mandate for supporting high-growth, innovation-driven companies in Canada. The involvement of BDC's Seed Venture Fund is particularly significant given the bank's developmental mandate to support Canadian entrepreneurs and build internationally competitive businesses. For JetScale AI, this backing is more than just capital — it is a stamp of institutional validation that can open doors to enterprise clients, government contracts, and strategic partnerships across Canada and internationally.

In addition to the co-leads, the round also saw participation from several well-established players in the venture ecosystem, including Telegraph Ventures, Fondaction, Mavrik, Cycle Momentum, and Spring Impact Capital. Each of these investors brings a unique dimension to the cap table — whether it is deep domain expertise in enterprise technology, a focus on sustainable investing, or access to specific markets in North America and Europe. The diversity of the investor group also speaks to the cross-sector relevance of JetScale AI's solution, which has applications across industries ranging from financial services and healthcare to logistics, e-commerce, and media.

Amélie Foz-Couture, General Partner and Co-Head of the Diagram ClimateTech Fund, articulated the investment thesis with clarity, highlighting JetScale AI's potential to tackle the massive and fast-growing problem of cloud energy use, particularly as unprecedented compute demand continues to strain the electric grid. This AI funding news reflects a broader trend in the venture capital community, where investors are increasingly looking for companies that can deliver both financial returns and measurable environmental impact. JetScale AI, by helping enterprises eliminate waste from overprovisioned cloud resources, offers exactly this dual value — meaningful cost savings alongside a reduction in energy waste that contributes to a more sustainable digital economy.

What JetScale AI's Platform Actually Does

To truly appreciate the significance of this AI funding round, it is important to understand what JetScale AI's platform is designed to do and why it is resonating so strongly with enterprise customers. At its core, JetScale AI has built an AI-powered platform that delivers instant diagnostics, clear action plans, and easy-to-implement remediations for cloud infrastructure challenges. The platform is designed to be used by any IT team, regardless of their level of specialized expertise, dramatically lowering the barrier to effective cloud management.

Historically, cloud optimization has been a resource-intensive process that required weeks of work by highly specialized engineers and cloud architects. The manual nature of this work meant that most organizations were perpetually playing catch-up with their cloud environments, dealing with cost overruns, inefficiencies, and security vulnerabilities that could have been addressed much earlier. JetScale AI fundamentally changes this dynamic by automating the diagnostic and remediation process, compressing what previously took weeks into a matter of minutes. This dramatic improvement in speed and accessibility directly translates to bottom-line savings for customers, making the platform's value proposition both immediate and measurable.

The platform's relevance is further amplified by the rapid rise of AI workloads across enterprises. As organizations deploy more sophisticated machine learning models, large language models, and data-intensive AI applications, their cloud consumption is growing at an exponential pace. This surge in compute demand is making cloud computing costs one of the largest budget items for many companies, and the pressure to optimize these costs has never been greater. JetScale AI's platform is specifically engineered to address this modern challenge, offering a level of intelligence, speed, and automation that legacy cloud management tools simply cannot match. Beyond cost savings, the platform also delivers benefits in terms of system reliability and security — two dimensions that are increasingly critical as enterprises move more mission-critical workloads to the cloud.

Denis Dallaire, CIO and Co-founder at Gologic, captured this value proposition succinctly, noting that JetScale AI is "propelling cloud FinOps into a new era by revolutionizing cost optimization analytics" and that its "speed of execution guarantees an optimal ROI, even within large-scale infrastructures." This endorsement from an enterprise customer reinforces the platform's practical impact and its ability to deliver results at scale — a key consideration for any organization evaluating cloud optimization solutions.

JetScale AI's Vision for North America, Europe, and Sustainable Cloud Infrastructure

With the $5.4 million seed round now closed, JetScale AI is setting its sights on an ambitious growth agenda that spans North America and Europe. The company plans to use the fresh capital to accelerate innovation, strengthen its teams, and expand its market reach — with a clear mandate to make cloud optimization more accessible, reliable, and sustainable for organizations of all sizes. This expansion strategy is well-timed, given the global nature of the cloud infrastructure challenge and the growing awareness among enterprise IT leaders in both North America and Europe about the urgent need for smarter cloud management solutions.

The European market, in particular, presents a significant opportunity for JetScale AI. European enterprises are subject to some of the world's most stringent environmental and data governance regulations, making the dual value proposition of cost efficiency and sustainability particularly compelling. JetScale AI's ability to reduce energy waste associated with overprovisioned cloud resources aligns naturally with the ESG priorities of European corporations and the regulatory requirements of frameworks like the EU Green Deal and the Corporate Sustainability Reporting Directive (CSRD). As European organizations accelerate their digital transformation journeys, the demand for AI-powered cloud optimization platforms is expected to grow substantially.

On the sustainability front, JetScale AI's platform addresses one of the less-discussed but increasingly critical dimensions of the global AI boom — the environmental footprint of data centers. As compute demand escalates with the proliferation of AI workloads, data centers are consuming more energy than ever before, placing unprecedented strain on electrical grids and contributing to carbon emissions. JetScale AI directly tackles this challenge by helping enterprises eliminate the waste associated with overprovisioned and underutilized cloud resources. This focus on reducing the environmental impact of cloud infrastructure is not only the right thing to do from a corporate responsibility perspective — it is also becoming a competitive differentiator as customers, investors, and regulators increasingly scrutinize the environmental credentials of technology companies.

The company's co-founding by Diagram through a venture studio model also provides a structural advantage as it scales. Unlike traditional startups that build everything from scratch, JetScale AI benefits from the operational playbooks, talent networks, and institutional knowledge that Diagram has developed through its previous ventures. This accelerates the company's ability to hire top talent, establish enterprise sales processes, and build the partnerships necessary to achieve its ambitious growth targets. The combination of a compelling product, a proven leadership team, strong institutional backing, and a well-established co-founding partner puts JetScale AI in an excellent position to become a defining company in the cloud optimization space.

As the broader AI funding ecosystem continues to evolve, JetScale AI's oversubscribed seed round serves as a powerful reminder that investors are not just chasing the latest generative AI headline — they are also placing significant bets on the infrastructure and tooling layer that makes AI deployments economically and environmentally viable at scale. The AI world is watching closely as JetScale AI prepares to accelerate its growth, and the coming months are likely to bring exciting developments for a company that has already demonstrated remarkable momentum in its early stages.