The Pulse
Go.AI Raises $85 Million for On-Prem Enterprise AI
Chicago-based Go.AI has raised $85 million in Series A funding led by Updata Partners. The company will expand its on-premises AI hardware, Go.OS software and sales operations for regulated industries.
AI.info Team ·
Updata Leads Go.AI’s $85 Million Series A
Go.AI has raised $85 million in Series A funding to expand its on-premises AI infrastructure for regulated industries, the Chicago-based company announced on September 22, 2026. Updata Partners led the round, with existing investors GFT Ventures and LAUNCH also participating.
The financing brings Go.AI’s total funding to $90 million. The company says it will use the money to hire engineers, develop its Go.OS operating system and hardware products, and expand sales beyond its initial base of regulated customers.
“This funding lets us keep building at that pace, but the thing I’m most proud of isn’t the growth number, it’s the education. AI doesn’t have to be something people fear or don’t understand.”
David Moscatelli, co-founder and CEO, Go.AI
Go.AI’s announcement follows a name change from Go Abacus earlier in September. The company says it now has more than 50 employees and began the year with the launch of the Go1, an on-premises hardware and software system designed for organizations that cannot send proprietary information to outside providers.
Keeping Models Inside the Customer’s Environment
Go.AI sells an AI stack that combines locally installed software with dedicated hardware. Its Go.OS platform can run on infrastructure managed by a customer or inside a private cloud environment, while its applications target compliance-heavy work in financial services, healthcare, aerospace and defense, and manufacturing.
The company’s pitch is built around data control and predictable pricing. Go.AI says its systems operate inside the customer’s secure environment, with no proprietary data sent to a third party. It also offers a fixed-fee model rather than charging customers for each token processed.
That approach addresses a practical barrier for banks and other regulated organizations: AI systems often need access to sensitive internal records, while security and audit requirements limit the use of general-purpose cloud services. Go.AI’s platform includes compliance-focused applications, proprietary small language models and a data indexer intended to keep information within the customer’s environment.
More Than 200 Customers, 12.5 Million Daily Queries
Go.AI says it has more than 200 customers and remains profitable. The company reports that annual recurring revenue has grown more than eightfold year over year, while customers using its on-premises deployments process more than 12.5 million queries each day.
Those figures come from Go.AI’s own announcement and were not accompanied by customer names or independently audited financial statements. The company identifies banks, credit unions, healthcare organizations, aerospace and defense companies, and manufacturers as its main customer groups.
The company’s product lineup centers on the Go1 hardware appliance and Go.OS. Go.AI describes the Go1 as an all-in-one system for running enterprise AI locally, while Go.OS manages models, data indexing and deployment inside an organization’s existing infrastructure.
Updata Sees Software and Hardware Expansion
Carter Griffin, a general partner at Updata Partners, said the investment reflects Go.AI’s combination of growth and profitability.
“Go.AI built the AI stack that regulated institutions can actually deploy: software and hardware that live inside the customer’s secure environment with no proprietary data going to a third party,”
Carter Griffin, general partner, Updata Partners
Updata says it has more than $3 billion in committed capital. Griffin will represent the firm on Go.AI’s board, according to a separate investor announcement distributed on September 22.
Go.AI plans to broaden its reach beyond regulated industries to other organizations with strict compliance requirements. The company also says it will invest in customer training and advisory services, including a planned podcast series and marketing work focused on helping organizations understand local AI deployment.
The funding gives Go.AI capital to pursue a market position that depends less on selling access to a remote model and more on installing the hardware and software required to run AI within a customer’s own walls. Its next test is whether that model can scale beyond its existing customer base while preserving the controls that attracted regulated buyers in the first place.