SEPTEMBER 25, 2026

webAI and Forge Sign $30 Million Deal as the Race for Enterprise AI Services Heats Up

Forge AI Deployment is committing $30 million to webAI to build and deploy private, specialized AI systems that run on infrastructure customers control.

Adapted with permission from webAI's announcement, published September 24, 2026.

Forge AI Deployment is committing $30 million to webAI. Together, the two companies will build and deploy private, specialized AI systems for enterprises, running on infrastructure the customer controls rather than a shared cloud.

John Ezzell, founder and CEO of Forge AI Deployment, put it plainly: Enterprises don't need another AI demo. They need AI that actually works inside their business.

From AI models to AI infrastructure

webAI describes the goal as a "decision factory": specialized intelligence shaped around how a particular organization actually works. Instead of one general-purpose model, several AI Personas act as domain experts, each focused on a specific role or workflow, and they work together across webAI's Intelligence Delivery Network (IDN).

Forge's job is to make that real inside the enterprise. We own the architecture, the secure deployment, model integration, and ongoing optimization, so the system runs where the customer's data already lives.

The bigger shift is in who owns the AI. Rather than renting intelligence as a subscription, organizations end up owning specialized models built on their own data and workflows.

As webAI co-founder and CEO David Stout said: Specialized intelligence working together. Collaboration gets us there faster.

About webAI

webAI is based in Austin, Texas. Its collaborative intelligence platform takes a local-first, private approach: organizations create, own, and deploy specialized models across their own devices and environments. The company's mission is to make AI accessible, personal, and collaborative.

About Forge AI Deployment

Forge AI Deployment is an official webAI systems integrator. Forge designs, deploys, and operates sovereign AI systems inside customer-controlled infrastructure, including enterprise data centers, edge sites, and air-gapped environments. Its leadership brings more than 20 years of experience in high-consequence and Fortune 100 sectors.

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