Image credit: SpendRule.
SpendRule announced a $4M seed round on October 29, 2026. Mark Cuban’s Radical Investments led the round, and Zeal Capital Partners participated. Total funding is now $6M.
The Dallas-based company is led by co-founders and co-CEOs Chris Heckler and Joseph Akintolayo. According to the press release, SpendRule is an AI company that makes sure organizations pay what their contracts say. The platform reads each contract term, checks every invoice against it, flags overcharges with the evidence behind them, and drafts the credit request so companies can recover what they are owed.
Healthcare is where the product started. Purchased services such as staffing, facilities, maintenance, security, and IT sit across thousands of vendors and complex agreements. When a discrepancy is found, the customer and the vendor can work from the same evidence inside SpendRule.
The company says health systems use it across $2.91B in annual purchased services spend and 2,187 business relationships. Customers named at its February launch include OSF HealthCare, Kettering Health, MemorialCare, and MUSC Health. These figures are self-reported, and the spend covered is not the same as money recovered.
The seed round follows a $2M round led by Abundant Venture Partners, announced in February when SpendRule came out of stealth.
The new funding has three uses. SpendRule will deepen its work with health systems, invest in product development and engineering, and bring the same contract enforcement technology to a broader range of businesses.
Cuban framed the problem in simple terms. Companies spend a lot of time negotiating contracts, he said, but the effort means little if nobody checks that they get what they paid for. Heckler added that overpaying is a cost companies tend to accept without noticing.
Akintolayo describes the longer-term goal as a decision layer between contracts and payments. The idea is that software, and increasingly AI agents, can rely on this layer to check obligations before money moves, rather than auditing after the fact.
