Chicago AI Firm Go.AI Secured $85 Million Funding
The company has scaled its on-premises infrastructure to handle 12.5 million daily queries.
Updated on Sept. 22, 2026 in Artificial Intelligence
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Chicago-based Go.AI, formerly known as Go Abacus, has secured $85 million in a Series A funding round led by Updata Partners. The company, which is profitable, provides on-premises AI infrastructure for regulated sectors.
Why it matters
The company’s growth trajectory, highlighted by an eightfold increase in annual recurring revenue, reflects rising corporate demand for secure, auditable AI deployments. This capital infusion will support expanded engineering efforts and the growth of the firm's Go.OS product line.
The Go.AI platform currently processes over 12.5 million daily queries for more than 200 customers. The infrastructure operates on a fixed-fee model, distinguishing its cost structure from consumption-based cloud AI services.
The players
Go.AI
A Chicago-based provider of on-premises AI infrastructure that formerly operated under the name Go Abacus.
Updata Partners
A venture capital firm focused on the growth-stage software and technology market that led this funding round.
GFT Ventures
A venture firm specializing in early-stage investment across artificial intelligence and frontier technology.
LAUNCH
A startup accelerator and investment firm that participated in the funding round.
The details
Go.AI provides an on-premises AI infrastructure that integrates hardware and software directly within a client's secure network environment. This approach is designed to meet strict auditability and governance standards required by highly regulated industries. By keeping the entire stack local, the platform prevents data from leaving the customer's perimeter, a mechanism that prioritizes data sovereignty over public cloud alternatives.
Timeline
September 22, 2026: Announcement of the $85 million Series A funding round.
The Tech Race
The market for secure, on-premises AI infrastructure is evolving to compete with public cloud foundation models that often fail to meet enterprise auditability requirements. Go.AI is positioning its Go.OS product line as an alternative for organizations that must maintain complete control over their hardware and software stacks.
Existing and potential clients in regulated sectors can expect increased training and advisory support as Go.AI scales its services. The company’s fixed-fee pricing model remains unchanged, offering a predictable cost structure for organizations deploying the platform in their own secure data centers.
The takeaway
Go.AI has established a path to profitability in a crowded sector by focusing on the security requirements of enterprise IT environments. Interested parties should watch for the upcoming expansion of the Go.OS product line to determine if the firm can maintain its growth rate in new compliance-heavy markets.
Further reading
For more on the latest sector activity, see Artificial Intelligence.
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Do you believe companies should keep their AI systems private rather than using cloud-based services?
