Agentic AI.
Infinite Scale.

We're building CloudForge — a cloud-native platform that deploys autonomous AI agent teams to plan, write, test, and ship production software.

Discover CloudForge

CloudForge

CloudForge is a cloud-native platform that deploys teams of specialized AI agents to your codebase. These agents plan features, write code, open pull requests, run tests, and iterate on review feedback — autonomously.

Autonomous Agent Teams

Multiple specialized agents collaborate on your codebase — planning, coding, reviewing, and testing — just like a real engineering team, but available on demand.

Cloud-Native Platform

Runs entirely in the cloud as a fully managed SaaS platform. No local setup, no GPU provisioning. Spin up agent teams on demand and scale to zero when idle.

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Integrates With Your Stack

CloudForge connects to your existing repos, CI/CD pipelines, and issue trackers — adapting to your development workflow, not the other way around.

Development Status

Research & Design
Core Platform
Closed Alpha
Private Beta
General Availability
Active Development — Core Platform

CloudForge's core platform is in active development. The agentic architecture is functional and being validated against real-world codebases with early design partners.

Business Model

CloudForge will be available as a cloud-native SaaS platform with usage-based pricing. Teams pay for agent compute time, not per-seat licenses.

Next Milestone

Closed alpha: Q3 2026. Sign up for early access to be among the first teams onboarded.

From Issue to Deployed Code

CloudForge's agent teams follow the same workflow your engineers do — but they work around the clock.

1

Plan

Agents analyze the issue, explore the codebase, and create an implementation plan — identifying files to change, edge cases, and dependencies.

2

Code

Specialized coding agents implement the plan, writing clean, idiomatic code that follows your project's conventions and patterns.

3

Review

Reviewer agents inspect the changes for correctness, style, security vulnerabilities, and adherence to the original requirements.

4

Test

Agents run your existing test suite, write new tests for the changes, and verify that nothing breaks in the broader codebase.

5

Ship

Once validated, agents open a pull request with a clear description and test results — ready for a human to merge with confidence.

Built for Teams That Need to Ship Faster

Startup Engineering Teams

Small teams that need to move fast but can't afford to hire as fast as their backlog grows. CloudForge multiplies your engineering capacity without multiplying your headcount.

Enterprise Development Pods

Large organizations with strict code quality requirements and complex codebases. CloudForge agents follow your standards, pass your CI checks, and integrate with your existing toolchain.

CTOs & VP Engineering

Technical leaders who need to scale software output without proportionally scaling headcount and operational overhead. CloudForge is infrastructure, not a service engagement.

The Company Behind CloudForge

Infinite Monkey Collective is a pre-seed AI startup building autonomous software development infrastructure.

Founded in 2024 and based in Seattle, WA, our name draws inspiration from the infinite monkey theorem — the idea that given enough random attempts, any text could be produced. In the age of AI, we're not waiting for randomness. We're engineering it.

We're building CloudForge to solve a fundamental scaling problem in software engineering: the demand for software far outpaces the supply of engineers who can build it. Our platform uses teams of coordinated AI agents to deliver real, reviewable, deployable code — not suggestions in a chat window, but actual pull requests that pass CI and are ready to merge.

The Founders

The people building CloudForge.

DS

Dan Shea

CEO & Co-Founder

PhD from the University of Washington, specializing in Deep Learning. Dan leads the company vision and strategy, bringing deep expertise in AI research and product development. He currently leads the design of CloudForge's core agentic planning and reasoning systems.

LinkedIn →
CB

Craig Bunce

CTO & Co-Founder

Master's in Applied AI from Northeastern University. He brings hands-on experience building and deploying enterprise AI systems at scale. At IMC, Craig architects the distributed cloud infrastructure that powers CloudForge's autonomous agent teams.

LinkedIn →

Get Early Access

Sign up to be notified when CloudForge enters private beta. Early access members will be the first teams onboarded.