Subatomic AI raises $6.85 million in angel funding

Subatomic AI, a startup developing customizable AI “co-workers,” has moved quickly since launching in January 2025. The company secured $6.85 million in angel funding in October, added early customers across multiple industries and grew to eight employees while continuing to refine its signature platform.

Co-founded by Milwaukee-based Sam Sova and San Francisco-based Karl Simon, Subatomic AI is building what the founders describe as a “web across your tech stack,” an AI layer that connects and interprets data from a company’s existing tools rather than introducing yet another standalone application.

From market research to a new kind of AI platform

Subatomic AI began with a year of interviews and market research. Before writing code, the co-founders met with hundreds of executives across their network to understand gaps in enterprise AI adoption. “The smartest thing we ever did was just listening,” Sova said.

Two themes emerged repeatedly in conversations: companies felt overwhelmed by tool overload. Many believed that existing AI products looked like improved versions of traditional software, rather than a new tool with transformational capabilities. Executives were not looking to add a new tool into their tech stacks. They needed something that helped their tools work together.

That led to the concept of an AI platform that integrates data from all of a company’s systems into a single source and deploys customized AI “co-workers” that support real workflows.

What an AI co-worker does

Subatomic AI positions its offering as more than an agent or chatbot. “We look at ourselves as providing the very highly customized white glove service,” Sova said. “The conversation is, tell me about your business and some of your pain points. Then we get into, here is how we think AI can really transform your business.”

Each AI co-worker is developed the same way a company might onboard a human employee: with a job description, key performance indicators, relevant data sources and an ongoing feedback loop that shapes learning over time. Subatomic’s platform includes a library of roughly 50 AI co-workers that can be used as building blocks across industries.

The company customizes the deployment to each client, typically identifying 20 to 60 potential use cases and prioritizing the ones with the highest impact.

Early traction across industries

Subatomic AI gained early traction in financial services, legal operations and manufacturing, three sectors Sova sees as primed for transformation. One example came from a financial services customer that spent an estimated 8,000 hours annually preparing for client meetings.

“We integrated all their systems into one database,” Sova said. “Just by doing this, we are going to save them 8,000 hours this year on client meeting prep, the equivalent of $500,000.”

The unified data layer allowed the AI co-worker to automatically generate meeting agendas, analyze client information and surface recommendations. The company now has what Sova describes as “one view of the client,” enabling staff to answer questions more quickly and shift more of their time to revenue-generating work.

A subscription model built around use cases

Subatomic AI uses a hybrid revenue model that includes upfront database and development costs followed by a subscription-based on the number of co-worker teams deployed. The company intentionally avoids seat-based pricing.

“That was always the worst model for you as a user,” Sova said. “We price it in a way where once you get going, you can add on more use cases, and it is not going to kill you from a cost perspective.”

Looking ahead

While Subatomic AI maintains strong ties to Milwaukee, its customer base is national. As awareness of agentic AI increases, Sova expects the company’s approach will resonate with organizations that have experimented with traditional generative tools but now seek deeper operational impact.

“We are solving very complex challenges that organizations have not been able to solve with technology,” he said. “We believe this could be the last tech that you invest in.”

To learn more about Subatomic AI, connect with the company here.