AI One raises $11M in funding to fix the hidden context problem killing enterprise AI

Most companies think their biggest AI problem is the model. In reality, the real issue sits behind the scenes, scattered across databases, buried in outdated systems, and split between platforms that were never built to speak the same language. AI can’t make smart decisions if it doesn’t know how the business actually works. That blind spot is what AI One is trying to fix.

Today, New York-based AI startup AI One announced it has raised $11 million in total funding, including a $7 million Series A round led by Vestigo Ventures alongside existing support from Nadia Partners. The company has spent the past year building what it calls an Enterprise Context Management platform, a new software layer that plugs into the systems large organizations already use and gives AI the missing context it needs to operate inside real business environments.

The timing is not accidental. Wharton’s latest AI adoption report shows that 82 percent of enterprises now use generative AI every week. Yet the top three concerns holding much of that progress back remain security risks, operational complexity, and inaccurate results. AI One believes those problems share the same root cause. The data is fragmented, disconnected, and stripped of meaning once it moves across different tools and departments.

With $11M in new funding, AI startup AI One tackles the biggest weakness in enterprise AI: Context

To close that gap, AI One connects directly to platforms such as Salesforce and Workday, as well as older on-premise and legacy systems. Instead of forcing a costly overhaul or data migration, the platform interprets how information, processes, and internal rules relate to one another. That context is then made usable for AI agents, letting them make decisions grounded in the reality of the business rather than loose assumptions.

The founders, Conor Twomey (CEO) and Fergus Keenan (COO), spent more than 15 years working in enterprise data and analytics. They watched companies pour millions into infrastructure projects that promised AI readiness but rarely delivered it in practice. AI One, founded in 2024, grew out of its attempt to change that pattern without tearing everything down and rebuilding it from scratch.

“Most companies are brute-forcing AI into workflows by endlessly rewriting generic prompts and connectors – a slow, brittle process that’s impossible to scale,” says Conor Twomey, Co-founder & CEO at AI One. “AI can only perform as well as the context it understands. We created AI One to give enterprises control over that context so their AI isn’t guessing, it’s operating with understanding.”

Early deployments point to real traction. A global bank cut reconciliation errors by 90 percent within four months, reducing manual reviews from 400,000 cases to under 5,000 and saving millions each year. A healthcare provider shortened member onboarding from 15 days to three, helping patients access care faster and speeding up revenue recognition. An insurance group lifted its straight-through processing rate from 89 percent to 97 percent, tightening claim cycles and improving customer experience.

Investors see AI One as a bridge between theory and execution. “AI One is solving one of the hardest problems in enterprise AI: perception,” said Mark Casady, General Partner at Vestigo Ventures. “The platform’s ability to activate enterprise context without requiring data migration or replatforming is a breakthrough. It turns AI from a concept into measurable business impact in record time.”

The new funding will support expansion across Fortune 500 companies in sectors such as financial services, energy, healthcare, insurance, and private equity. The team has already grown to 20 employees, with new hires across go-to-market, platform, and field engineering.

As enterprises rush to move AI projects out of pilot mode and into real production environments, context is emerging as the missing link. Models may be smart, but without a clear view of how a business actually runs, intelligence only goes so far. AI One is betting that giving machines that context, cleanly and safely, is the key to turning AI from an experiment into something companies can rely on every day.