Ex-Icertis Executives Raise $7.5M for Rivvun AI to Recover Lost Corporate Cash Through AI Agents

Ex-Icertis executives raise $7.5M for Rivvun, a startup that recovers lost corporate cash

Two former executives from enterprise software giant Icertis have teamed up to launch a new Seattle startup aimed at a multi-trillion-dollar corporate headache. Rivvun AI, which today is announcing a $7.55 million oversubscribed seed funding round from Sitara Capital and 3one4 Capital, is led by CEO Anand Veerkar and Chief Product Officer Niranjan Umarane. Both spent the last decade as executives at Icertis, helping scale the contract intelligence platform to more than $350 million in annual recurring revenue. They are joined at Rivvun by co-founder and serial entrepreneur Patrick Linton. Rivvun is tackling what the founders describe as an "execution gap," a costly friction point between what a corporation contractually negotiates and what actually hits its books. "The enterprise has spent a decade being told AI will transform how it operates," said Veerkar. "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." Rather than building a conversational chatbot, a copilot or another analytics dashboard, Rivvun has built what it terms an "autonomous value execution layer." Rivvun's agents sit on top of a company's internal ERP, CRM and procurement databases -- like SAP, Ariba and Salesforce -- to catch commercial discrepancies and write corrective actions back into those systems. It dubs these AI agents "stewards" (focused on money going out to manage invoices, suppliers, and leakage) and "sentinels" (focused on money coming in to track renewals and customer behavior). It has also developed what it calls a "margin bridge": a financial module that matches what you sell against what you spend to protect profit margins. According to the company, these agents continuously monitor commercial events across corporate systems, apply governed playbooks and write corrective actions directly back into the systems while preserving an audit trail. To address specific industries, Rivvun is building vertical-specific logic tailored to sectors like pharmaceuticals, healthcare, banking and retail. For example, the company said that a large manufacturing company with $3 billion in spend may experience leakage across its disconnected systems, creating an invisible problem that financial dashboards and consultants may miss. In that scenario, Rivvun's agents could run continuously across the data sources, recovering an estimated $110 million to $138 million annually. The company is targeting Chief Financial Officers, Chief Revenue Officers and other C-level executives who oversee large budgets, noting that there's no "rip-and-replace" as the agents tie directly into existing software systems. Citing research from McKinsey, Rivvun said that companies lost an estimated 3 to 4 percent of their total external spend because of inefficiencies and non-compliance. That's about $2 trillion when factored across the Fortune 2000 companies, which Rivvun said is money that basically "disappears in the gap between what was contractually committed and what enterprise systems were ever built to collect." In a statement, Anurag Ramdasan of 3one4 Capital said Rivvun is one of the strongest teams they've encountered. "They are not pitching a horizontal AI solution and hoping for enterprises to extract value out of it," Ramdasan said. "They are delivering ROI on AI for large enterprises from the first day of implementation, which is very critical for enterprise AI adoption." Similar to how Icertis grew over the past decade, Rivvun is taking a dual approach to its operations. It is headquartered in Seattle, with engineering operations in Pune, India. It employs 15 people, with plans to double this year. The company plans to use the new seed capital to fund engineering, customer pilots and expand its enterprise global sales operations.

Rivvun AI raises $7.55M to recover enterprise contract leakage

Icertis veterans raised $7.55M in seed funding for Rivvun AI, which builds autonomous agents to recover enterprise spend and revenue that disappears between contract obligations and financial settlement. The $2T headline figure is a company projection, not an independently verified total. Rivvun AI, a Seattle-based startup founded by former senior executives at contract management platform Icertis, has raised $7.55 million in an oversubscribed seed round co-led by Sitara Capital and 3one4 Capital. The company is building what it calls an autonomous AI execution layer that sits between enterprise systems and recovers money lost in the gap between commercial obligations and financial settlement. The founding team spent a decade at Icertis, which manages contract lifecycles for some of the world's largest commercial portfolios and has approached $350 million in annual recurring revenue. CEO Anand Veerkar and co-founder Niranjan Umarane say they saw the same pattern across every industry: terms were precisely structured, but financial execution against them was not. The $2 trillion claim Rivvun cites McKinsey research finding that enterprise procurement functions lose up to one-third of planned savings during execution, with an additional 3 to 4% of total external spend lost to transaction inefficiency and non-compliance. The company extrapolates this to more than $2 trillion across Fortune 2000 revenues. That figure is a company projection based on applying McKinsey's percentages to aggregate revenue, not an independently verified total. The McKinsey research itself is about procurement savings leakage, not a measurement of the full gap Rivvun claims to address. The underlying problem, that money owed under negotiated agreements goes uncollected because no system enforces outcomes, is real and well-documented. The $2 trillion headline should be treated as directional, not precise. How it works Rivvun connects to existing ERP, CRM, and procurement systems without replacing them. Its agents interpret commercial obligations, identify what has not settled as agreed, and initiate recovery at the transaction level. Two agent families power the platform. Spend Assurance on the buy side recovers supplier rebates, pricing commitments, and procurement obligations that have gone unenforced. Margin Defence on the sell side recovers customer settlement variances, trade term discrepancies, and revenue that left the P&L without authorisation. Vertical-first design Rivvun deploys with industry-specific agent logic rather than a horizontal approach. Chargeback mechanics in pharma, which involve GPO compliance and government pricing obligations, are structurally different from settlement gaps in banking or trade term failures in consumer goods. The company says it launches across pharma, healthcare, banking, CPG/retail, and industrial verticals. Whether vertical-specific agents can deliver accurate recovery at the transaction level across all five sectors simultaneously from a seed-stage company is an open question. The team Veerkar and Umarane are joined by serial entrepreneur Patrick Linton, who brings experience scaling global operations for enterprise software companies. 3one4 Capital manages $800 million in committed capital and called the founding team "one of the strongest founder-market fits we've seen in the vertical AI category." "The enterprise has spent years being told AI will transform how it operates," Veerkar said. "What it needed was AI that creates direct, measurable impact on the P&L." That framing, tying AI value to recovered dollars rather than productivity narratives, is deliberate. It is also the exact claim that will be easiest to verify or disprove once the platform is deployed.