Rivvun AI has raised an oversubscribed USD $7.55 million seed round led by Sitara Capital and 3one4 Capital.
The Seattle-based company was founded by former Icertis executives Anand Veerkar and Niranjan Umarane, alongside serial entrepreneur Patrick Linton. It is developing software to help large companies recover money lost between agreed commercial terms and final financial settlement.
Rivvun AI says the problem lies in routine business processes rather than fraud or weak contract drafting. It cites McKinsey research showing procurement teams can lose up to one-third of planned savings during execution, while a further 3% to 4% of external spend is lost through transaction inefficiency and non-compliance.
According to Rivvun AI, those gaps amount to more than USD $2 trillion across Fortune 2000 revenues. Its software is designed to sit across existing enterprise systems and identify where payments, rebates, pricing commitments, or other negotiated terms were not settled as expected.
The founders built their careers at contract management software group Icertis, working on commercial portfolios across multiple sectors. That experience, they say, exposed a recurring problem: companies could define contractual terms precisely but often lacked systems to ensure those terms translated into collected revenue or secured savings.
The product is positioned as an execution layer that connects with ERP, CRM, and procurement systems already used by large businesses. Rather than asking customers to replace core software, Rivvun AI is focused on transaction-level recovery of spend and revenue leakage.
It has split the platform into two product lines. Spend Assurance focuses on the buy side, including supplier rebates, pricing commitments, and procurement obligations. Margin Defence targets the sell side, including customer settlement variances, trade term discrepancies, and revenue losses that affect profit and loss accounts.
Sector focus
The company is targeting sectors where settlement and compliance processes vary widely, including pharma, healthcare, banking, consumer goods, retail, and industrial markets. Rivvun AI argues that those differences make a sector-specific approach more effective than a generic model.
In pharma, for example, chargeback mechanics can involve group purchasing organisation compliance and government pricing rules, while banking and retail face different sources of leakage. Rivvun AI says its software uses industry-specific logic to reflect those distinct patterns.
The round gives early backing to a business built around a narrow but costly operational problem for large organisations. Investors in business software have increasingly focused on companies that promise direct financial returns rather than broader productivity claims, especially as buyers demand clearer evidence of value from artificial intelligence tools.
Veerkar is Chief Executive Officer of Rivvun AI and said the company was built to address a longstanding gap between what companies agree commercially and what they actually collect.
"The enterprise has spent years being told AI will transform how it operates. What it needed was AI that creates direct, measurable impact on the P&L - not productivity narratives, not dashboards. Rivvun closes the gap between what was agreed and what was collected, recovering money that goes straight to the bottom line," said Anand Veerkar, Chief Executive Officer of Rivvun AI.
Sitara Capital, one of the lead investors, framed the opportunity in terms finance chiefs can readily measure.
"We've invested in enterprise technology for years. The winners tie their value directly to a number the CFO can see on the P&L. Rivvun does exactly that with precision rare for a company at this stage - and with a founding team that has already built a category leader in this space," said Sachin Bhanot, Managing Partner of Sitara Capital.
3one4 Capital said the appeal lay in the founders' sector experience and the company's decision to focus on a defined business problem rather than a general-purpose AI pitch.
"The team at Rivvun is one of the strongest founder-market fits we've seen in the vertical AI category so far. They are not pitching a horizontal AI solution and hoping for enterprises to extract value out of it. They are delivering ROI on AI for large enterprises from the first day of implementation, which is very critical for enterprise AI adoption. This rigor comes from the deep expertise of the founders, and we are incredibly excited to back such a transformational team at seed stage," said Anurag Ramdasan, Partner at 3one4 Capital.