Go.AI, which offers on-premises AI hardware and software tools for regulated organizations like banks, raised an $85M Series A led by Updata Partners

On-premises AI solutions now offer the same compliance and audit readiness as traditional software, with no surprise per-token costs.

Go.AI, formerly Go Abacus, announced an $85 million Series A funding round led by Updata Partners. The investment, which includes participation from existing investors GFT Ventures and LAUNCH, brings the company's total funding to $90 million. Go.AI specializes in on-premises AI hardware and software solutions designed for regulated industries such as banking, healthcare, and aerospace. The company has achieved significant growth, serving over 200 customers with an 8x increase in annual recurring revenue year-over-year while remaining profitable. Go.AI's platform processes over 12.5 million queries daily within customers' secure environments, ensuring no proprietary data is shared with third parties. The new funding will be used to expand the engineering team, accelerate development of its Go.OS software and hardware, and scale go-to-market efforts.

The substantial Series A funding for Go.AI underscores a growing market demand for secure, on-premises AI solutions within regulated sectors. This capital infusion signifies investor confidence in AI architectures that prioritize data sovereignty and compliance, a critical differentiator in industries facing stringent oversight. Go.AI's success in achieving profitability alongside rapid revenue growth highlights the viability of a business model that eschews per-token pricing for predictable, fixed-fee infrastructure, appealing to organizations wary of unpredictable operational expenses.

This development signals a maturation of the AI infrastructure landscape, moving beyond cloud-centric models to offer robust, controllable alternatives for enterprises. As Go.AI expands beyond strictly regulated industries, its focus on auditability and data control will likely influence broader adoption trends. The company's strategy to invest in customer education also suggests a proactive approach to demystifying AI, aiming to counter common fears and accelerate adoption by demonstrating tangible benefits and responsible implementation.