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JetScale AI

Category: AI Infrastructure

An AI-powered cloud infrastructure optimization platform that uses Agentic AI to continuously detect cloud inefficiencies, automatically generate actionable remediation plans, and produce compliant Infrastructure-as-Code (IaC) for immediate deployment. JetScale AI was founded in 2025. The company is led by Mehdi Merai. Based in Montreal, Canada. Team size: 10-25. Total funding raised: $6M CAD. Latest round: Seed ($5.4M CAD, Feb 2026). Key investors include BDC Capital (Seed Venture Fund), Diagram ClimateTech Fund, Telegraph Ventures, Fondaction, Mavrik, Cycle Momentum, Spring Impact Capital.

AMW Analysis

JetScale AI provides an agentic AI platform that automates cloud infrastructure optimization by detecting inefficiencies such as idle resources and underused machines, then generating compliant Infrastructure-as-Code for immediate deployment. The company targets the cloud FinOps market, where enterprises reportedly waste 20-50% of cloud budgets annually. Its value proposition centers on reducing weeks of specialized expert work to minutes, addressing both cost and environmental impact.

Recent news flow is dominated by the company’s $5.4M CAD oversubscribed seed round in February 2026, co-led by BDC Capital, Diagram ClimateTech Fund, and others. The funding signals investor confidence in the platform’s ability to tackle the growing challenge of AI-driven cloud cost explosion. The round follows the company’s founding in 2025 and brings total funding to $6M CAD. The news items consistently emphasize the platform’s shift from diagnostics to actionable remediation code, positioning JetScale AI within the 2026 FinOps priority of workload optimization. No product launches or partnerships are reported beyond the funding announcement.

AMW analysis, generated from 3 tracked news signals.

Founded
2025
Headquarters
Montreal, Canada
Team size
10-25
Total funding
$6M CAD

Value proposition

Automates cloud cost optimization by delivering instant diagnostics, clear action plans, and reviewable Terraform-ready remediation code—completing in minutes what previously required weeks of specialized expert work, while reducing both cloud costs and environmental impact.

Products and solutions

Continuous Cloud Inefficiency Detection Engine, Automated Remediation Plan Generator, Compliant IaC Code Generator (Terraform-ready), Instant Cloud Diagnostics Platform, 24/7 AI Cloud Architect System

Unique value

Distinguishes itself by not just detecting cloud inefficiencies but automatically generating compliant, production-ready Infrastructure-as-Code (Terraform) that teams can review, version, and deploy through existing DevOps workflows—transforming remediation from a manual, expert-dependent process into an automated, code-driven workflow.

Target customer

Organizations with fast-growing cloud costs and infrastructure complexity, primarily software companies, e-commerce platforms, and enterprises heavily reliant on cloud infrastructure and AI workloads

Industries served

Cloud Infrastructure & DevOps, Cloud FinOps & Financial Management, Software & SaaS, E-commerce & Digital Platforms, Enterprise IT Operations, AI/ML Infrastructure, ClimateTech & Green Computing

Technology advantage

Combines Agentic AI for continuous cloud monitoring with automated IaC generation, enabling autonomous identification and remediation of issues like idle resources, underutilized machines, and outdated database versions. The platform operates as a '24/7 AI Cloud Architect at a fraction of the cost,' delivering both immediate cost savings (eliminating overprovisioned resources) and environmental benefits (reducing data center energy waste and carbon footprint).

How they differentiate

Distinguishes itself through agentic AI that not only detects cloud inefficiencies but automatically generates production-ready Infrastructure-as-Code (Terraform) for autonomous remediation, while competitors primarily focus on detection, monitoring, or limited automation. JetScale combines cloud cost optimization with environmental sustainability impact, positioning as a '24/7 AI Cloud Architect' that delivers instant diagnostics, clear action plans, and reviewable Terraform-ready remediation code.

Main competitors

CAST AI, Sedai, CloudHealth (VMware)

Key partnerships

Diagram Venture Studio, BDC Capital's Seed Venture Fund, Diagram ClimateTech Fund, Telegraph Ventures, Fondaction, Mavrik, Cycle Momentum, Spring Impact Capital, Early enterprise clients

Notable customers

Early enterprise clients

Major milestones

Co-created by Diagram venture studio model in 2025, Raised oversubscribed $5.4M CAD seed round co-led by BDC Capital and Diagram ClimateTech Fund (Feb 2026), Rapid adoption by first enterprise customers validating product-market fit, Team expansion planned from 10 to 25 employees by end of 2026

Growth metrics

Oversubscribed seed round with rapid adoption by first enterprise clients; currently 10 employees with plans to scale to 25 by end of 2026

Market positioning

Seed-stage AI infrastructure challenger in cloud FinOps and optimization space, targeting organizations with fast-growing cloud costs and infrastructure complexity. Positioned between traditional cost monitoring tools and fully autonomous platforms, emphasizing climate-friendly cloud optimization alongside cost reduction.

Geographic focus

Currently Canada-focused (Montreal HQ) with plans for North American expansion, leveraging Canadian venture studio ecosystem and climate tech funding advantages

Patents and IP

No registered patents disclosed as of February 2026

About Mehdi Merai

Ex-Deloitte Equity Partner (AI & Deep Tech Ventures), former CEO & Co-founder of Dataperformers (acquired by Deloitte 2021), AI Leader of the Year 2017 (Digital Finance Canada), Techstars Mentor, Angel Investor, Ph.D. candidate in Artificial Intelligence

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