JetScale AI, a Montreal-based autonomous AI platform that discovers cloud inefficiencies in AWS and Azure environments, has raised $5.4M in seed funding. The platform's AI Analyzer Agent identifies waste across services like EC2, RDS, VMs, and SQL databases, then generates Terraform-ready remediation code or ClickOps plans. These outputs integrate directly into Git PRs, IDEs, Jira, and Slack without requiring code changes to existing infrastructure. The oversubscribed round positions JetScale to scale its read-only optimization engine for enterprise FinOps teams.
FinOps AI Emerges Amid Cloud Waste
JetScale's seed arrives as enterprises grapple with ballooning cloud bills from dynamic workloads. Manual FinOps processes, often consultant-led, fail to catch inefficiencies in real-time across multi-cloud setups. Automated tools like JetScale address this by providing explainable, autonomous fixes that preserve security postures. Early adopters validate the approach with consistent results.
Multi-Cloud Inefficiencies Drain Budgets
Enterprise teams overseeing AWS and Azure infrastructure face persistent overprovisioning in compute, storage, and databases. Traditional audits occur quarterly at best, leaving 30-40% of spend recoverable through targeted remediations, as shown by JetScale's customer outcomes in the first 90 days. Current solutions demand engineering time for implementation, diverting focus from core development. This gap creates demand for seamless, workflow-native automation.
Read-Only Agent Analyzes Without Risk
JetScale built its core around a read-only AI agent that scans environments without deployment risks. The Remediation Planner translates findings into precise, Terraform-compatible code blocks or step-by-step ClickOps guides. Unlike dashboard-only tools, JetScale outputs executable fixes ready for pull requests. This autonomy shifts optimization from reactive to proactive governance.
Integrations Enable Workflow Adoption
The platform embeds into developer tools, pushing remediation plans as Git PRs or Slack notifications for instant review. Support for AWS services including EC2, RDS, EBS, ElastiCache and Azure equivalents like VMs, SQL, Disks ensures broad coverage. Explainable AI surfaces reasoning behind each recommendation, building trust in automated decisions. Climate impact reduction follows naturally from slashing idle compute.
Oversubscribed Seed Signals Agent Bet
The oversubscribed nature of the round underscores investor conviction in agentic AI for infrastructure management. Backers see JetScale extending AI beyond code generation to full remediation cycles. This capital arrives from a 2025-founded team already proving traction. It validates a shift from human-led FinOps to AI-driven efficiency at scale.
Repeat Founders Drive Enterprise Cred
CEO Mehdi Merai and CTO Gabriel De Lisi founded JetScale in 2025 as repeat entrepreneurs. Their enterprise AI experience dates to 2014, including a prior exit that honed scalable deployment skills. This track record equips them to tackle cloud complexity where incumbents lag. Core values of explainable autonomy and climate efficiency guide product direction.
Cloud Optimization Eyes Broader Adoption
With $5.4M secured, JetScale targets expansion among FinOps teams handling significant AWS and Azure spends. Platform enhancements will deepen service coverage and integration depth. Autonomous remediation positions the company to capture value as cloud governance mandates intensify.