North
North is an AI-driven FinOps platform that provides real-time intelligence and automation for cloud, AI, and data infrastructure spend across AWS, GCP, and Azure. The platform automates commitment management, cost allocation, and sustainability tracking, with customers achieving up to 55% compute savings without long-term contracts. North manages nearly $2 billion in cloud spend and has helped customers save over $400 million.
- Enterprise Software
- Artificial Intelligence
- Software Only
- Data & Analytics
- AI Agents
Funding
Raised to date
$65MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
CV+2$60M · Series B
Announced Oct 2026
Disclosed cumulative: $65M
Founders
Founder details are not available yet.
Product
Problem
Enterprises running workloads on AWS, GCP, and Azure face fragmented cost data, manual budgeting processes, and rigid reservation contracts that lock them into fixed pricing while usage fluctuates. This results in hidden waste, high engineering overhead, and limited visibility into sustainability metrics.
Solution
North delivers an AI-driven FinOps platform that centralizes cloud financial data from AWS, GCP, and Azure into a single, real-time dashboard. Machine-learning models continuously analyze usage patterns to recommend and automatically apply liquid commitment adjustments, eliminating the need for long-term reservations. The system automates cost allocation, budgeting, and chargeback without requiring manual tagging, while providing instant spend insights through an in-app conversational assistant. Integrated sustainability analytics map carbon, water, and energy impact per workload, enabling organizations to track and report ESG goals. Role-based access controls and SOC 2-aligned security isolate financial data, allowing finance and engineering teams to collaborate safely. All optimizations run on a read-only IAM integration that can be deployed in minutes, delivering immediate savings without altering existing infrastructure.
Target Audience
The primary users are FinOps, cloud engineering, and finance teams at mid-size to large enterprises that operate multi-cloud environments on AWS, GCP, and Azure, including AI-heavy companies managing GPU workloads and model inference costs.
Features
- AI-powered spend analysis and real-time cost forecasting across AWS, GCP, and Azure workloads
- "Liquid cloud commitments" engine (Arctic/Autobot/Flexbot) that auto-adjusts Savings Plans and Reserved Instances based on actual usage, delivering up to 55% compute savings
- Tag-free cost allocation (Coststreams) with ML-powered drill-down by team, service, environment, or account
- Automated rightsizing recommendations (Reshaping) using multi-dimensional usage signals beyond CPU metrics
- Sustainability module (GreenOps) that quantifies carbon, water, and energy consumption per resource and generates ESG reports
- Conversational analytics assistant (Agent North/Noros) for on-demand queries via web UI, Slack, or Jira integration
- Automated invoicing, showback, and chargeback workflows with AI-driven margin tracking (Costops)
- TokenFlow for AI spend management, including model usage, attribution, budgets, and financial controls with native OpenAI and Anthropic integrations
- Native support for AWS, GCP, and Azure, plus Snowflake integration, in a unified multi-cloud workflow
- Enterprise-grade security: SOC 2 compliance, least-privilege IAM policies, isolated Savings Pods, and role-based access control