A service that fixes unpredictable cloud bills

This article is a part of Startup Spotlight, a series that features young, up-and-coming startups.

Image credit: Timmy Loen

While building and scaling developer tools, Enyegue Carl Dimick and Pranay Jain faced unpredictable costs and performance drops. Managing infrastructure across environments became increasingly complex.

To fix this, they founded OrtCloud, offering deterministic cloud infrastructure.

😟 Problem

Cloud spend management is now the top challenge for 84% of organizations. Flexera data shows average cloud budgets are already running 17% over plan.

Uptime Institute found 64% of companies leaving public clouds do so due to high costs. Another 33% cite poor overall performance.

At the same time, generative AI workflows require continuous compute power, making shared models hard to forecast. Small usage changes can quickly lead to large cost increases.

💡 Solution

OrtCloud gives engineering teams a faster way to run cloud infrastructure with fully configured, isolated virtual machines.

Key features include:

• Flat monthly per-VM pricing for easier cost forecasting.
• Control plane and network readiness in under ten seconds.
• Built-in snapshots, backup, logs, and collaboration controls.
• Support for Rest, Terraform, and software development kit workflows.

Image credit: OrtCloud

📊 Market size

Global cloud infrastructure spending exceeds US$600 billion annually. A growing portion of this market is tied to predictable, long-running AI workloads.

The startup focuses on serving engineering teams and regulated enterprises across Southeast Asia, the US, and Korea.

🤝 Team

🚀 Traction

🏆 Competition

💰 Financials

🚩 Risks