Go.AI raises $85 million to build private AI for regulated industries

Securing the private AI stack

Go.AI recently announced it raised $85 million in Series A funding to expand its private AI infrastructure. This investment brings the company's total funding to $90 million and aims to support the development of its Go.OS software and hardware offerings. The round was led by Updata Partners with participation from GFT Ventures and LAUNCH.

The company focuses on providing examiner-ready AI infrastructure specifically for regulated industries. These are sectors where data security, auditability, and strict regulatory requirements often prevent the use of standard public AI models. By offering on-premises solutions, Go.AI helps these organizations bridge the gap between wanting to use AI and needing to remain compliant.

According to openPR.com, the funding will also be used to hire more engineers and expand into organizations that require strong data governance. While the initial focus is on regulated sectors, the company plans to broaden its reach to other industries that prioritize data control. They also intend to invest in client advisory services and an upcoming podcast series to educate the public on practical AI adoption.

How private infrastructure works

The core of Go.AI's platform is its ability to operate entirely within a customer's own secure environment. This means that instead of sending sensitive information to an external AI provider, the data stays behind the organization's firewall. This architecture is essential for companies where risk is non-negotiable and proprietary information must remain private.

The platform is designed to integrate with existing systems and governance frameworks used by the client. This allows for a seamless transition into AI capabilities while maintaining the same oversight protocols the company already has in place. It makes AI production-ready for high-stakes environments rather than just being an experimental tool.

To help with budget planning, Go.AI offers a fixed-fee pricing model for its services. This is intended to provide greater predictability for organizations that are trying to manage the unpredictable costs often associated with AI deployment. By removing per-token surprise costs, the company makes it easier for large institutions to forecast their technology spending.

Impact on regulated industries

Go.AI currently serves more than 200 customers across a variety of high-stakes sectors. These include financial services, healthcare, aerospace, defense, and manufacturing. Each of these industries faces unique hurdles when trying to implement new technology while meeting legal and safety obligations.

In these fields, the ability to audit AI decisions and ensure data privacy is a primary requirement. Go.AI's infrastructure is built to meet these specific needs, allowing banks, credit unions, and healthcare providers to deploy AI at scale. The company reports that its annual recurring revenue has increased more than eightfold year over year.

The platform is already seeing significant usage, with customer deployments processing more than 12.5 million queries daily. This high volume suggests that the demand for secure, private AI is growing rapidly among large-scale enterprises. The company aims to prove that AI can work alongside people without being something they have to fear or misunderstand.

Future growth and education

With the new capital, Go.AI plans to accelerate the development of its software and hardware capabilities. The company wants to move beyond just providing the tools to also providing the knowledge needed to use them effectively. This includes a focus on training and advisory services to help clients navigate the complexities of AI integration.

CEO David Moscatelli emphasized that the goal is to show how AI can work alongside the people who use it. He noted that the funding will help the company continue building at a fast pace while focusing on education. The company wants to move AI from being an experimental concept to a standard part of the professional workflow.

As more organizations evaluate how to introduce AI while maintaining internal controls, Go.AI is positioning itself as a primary partner. The company intends to use this funding to broaden access to its platform and establish itself as a leader in private AI infrastructure. They are moving toward a future where regulated institutions can deploy AI with full confidence in their security.