Artificial intelligence has moved from experimentation to enterprise priority. The challenge for many organizations is no longer building AI models. It is getting those models into the hands of the people making decisions.
Washington, D.C.-based AI Squared announced a $13.8 million Series A funding round led by Ansa Capital, with participation from existing investors NEA and Ridgeline. The raise brings the company’s total funding to $20 million since its founding.
The investment comes as enterprise AI adoption continues to accelerate. Organizations are spending billions on AI initiatives, yet many struggle to convert those investments into operational outcomes. Models are developed, tested, and approved, but often remain disconnected from the systems employees use every day.
AI Squared was built to address that gap.
Founded by Benjamin Harvey, Ph.D., the company enables organizations to integrate AI-generated insights directly into existing business applications and workflows. Rather than requiring users to move between separate systems, AI Squared embeds AI outputs inside the software teams already use to make decisions.
The problem is familiar to many enterprise technology leaders. Data science teams build sophisticated models while business teams continue operating in separate environments. Valuable insights remain isolated from the workflows where decisions are made.
Before founding AI Squared, Harvey spent more than a decade working at the National Security Agency and later served on Databricks’ data science team. Those experiences exposed a recurring challenge across large organizations: creating AI models was often easier than operationalizing them.
“Far too many companies aren’t getting enough ROI from AI,” Harvey said in announcing the funding round. “Our tools directly address this challenge, making it easier for businesses to deploy and leverage the power of AI within their teams.”
According to the company, its platform can reduce the time required to integrate data and AI into workflows from months to minutes while significantly reducing implementation costs. The value proposition centers on accelerating the path from model development to business use.
That approach attracted Ansa Capital, whose co-founder and General Partner Allan Jean-Baptiste joined the company’s board of directors as part of the investment.
“With new AI models emerging constantly, organizations risk falling behind,” Jean-Baptiste said. “AI Squared tackles this by simplifying integration and accelerating the time to value for AI investments.”
The company also maintains a focus on broadening participation in technology. Through initiatives including the AI Squared Innovation Lab, the organization provides resources and support for students interested in programming, artificial intelligence, and related technical fields.
As enterprise AI spending continues to grow, the companies positioned to benefit may not be limited to those building new models. Infrastructure companies focused on deployment, integration, and workflow adoption are increasingly becoming part of the conversation. AI Squared’s latest funding round reflects investor confidence that solving those challenges remains one of the largest opportunities in enterprise AI.
