--- title: Rivvun AI Raises $7.55 Million to Put Autonomous AI Agents to Work on Revenue Recovery description: Icertis veterans raise a $7.55M seed co-led by Sitara Capital and 3one4 Capital for autonomous AI agents that recover revenue enterprises never collect. author: Darie Nani (Editor-in-Chief) updated: 2026-06-10T07:09:55.384Z canonical: https://www.sovereignmagazine.com/article/rivvun-ai-autonomous-ai-agents-revenue-recovery image: https://cdn.nanimediahouse.com/rivvun-founders.webp categories: Artificial Intelligence, Startups content_type: Spotlight region: Seattle publication: Sovereign Magazine about: - type: Organization name: Rivvun AI description: Rivvun AI builds an autonomous AI execution layer that connects to enterprise ERP, CRM and procurement systems to recover money owed under commercial agreements but never collected, covering supplier rebates, pricing commitments and customer settlement variances. Founded in 2026 by former Icertis executives Anand Veerkar and Niranjan Umarane with entrepreneur Patrick Linton, the company raised a $7.55 million seed round co-led by Sitara Capital and 3one4 Capital. It is headquartered in Seattle with engineering in Pune, India. url: https://rivvun.ai/ industry: Artificial Intelligence --- Rivvun AI, a Seattle startup founded by former senior executives of the contract management company Icertis, has raised a $7.55 million seed round to deploy autonomous AI agents that recover money enterprises are owed under their contracts but never collect. The company says the round was oversubscribed and co-led by Sitara Capital and 3one4 Capital. The money Rivvun is chasing is not unpaid invoices in the collections sense. It is the gap between what was agreed in negotiated contracts and what actually settles: supplier rebates that go unclaimed, pricing commitments that are never enforced, customer settlements that drift from agreed trade terms. The company cites McKinsey research finding that procurement functions lose up to a third of planned savings during execution, with a further 3 to 4 percent of external spend lost to transaction inefficiency and noncompliance, and puts the value that never reaches Fortune 2000 bottom lines at more than $2 trillion a year. Independent estimates point in the same direction, if not to the same number. World Commerce & Contracting, the trade body for contract professionals, has long estimated that poor contract management costs companies the equivalent of about 9 percent of annual revenue. ## From Contract Lifecycle Management to Revenue Recovery Rivvun's founders spent more than a decade building the systems that record those commitments. Anand Veerkar, the chief executive, spent 13 years at Icertis, most recently as chief revenue officer, as the company grew to what it said last year was approaching $350 million in annual recurring revenue. His co-founder Niranjan Umarane spent 11 years there and was described by Icertis as a key architect of its platform. The third co-founder, Patrick Linton, built Bolton Remote, a services firm that grew to around 1,000 employees before its acquisition in 2022. Icertis is the largest independent company in [contract lifecycle management](https://www.sovereignmagazine.com/article/how-ivo-s-55m-funding-is-turning-contracts-into-a-source-of-business-intelligence). It raised money from SoftBank at a valuation of about $5 billion in 2021, and Bloomberg reported in February that the company is exploring a sale. The pattern the founders say they saw across that decade was consistent: terms of trade were precisely structured, but financial execution against them was not. Enterprise systems record transactions, track relationships and manage approvals, yet nothing in the stack is responsible for making sure the money agreed actually arrives. ## Enterprise AI Agents for Spend and Revenue Recovery Rivvun's answer is an execution layer that [connects to existing ERP, CRM and procurement systems](https://www.sovereignmagazine.com/article/finance-chiefs-spent-millions-on-erps-they-hate-maximor-s-ai-is-now-fixing-that-without-start-2), reads commercial obligations, identifies transactions that have not settled as agreed and initiates recovery, without replacing any system of record. Two agent families cover the two sides of the ledger: Spend Assurance on the buy side, recovering supplier rebates, pricing commitments and procurement obligations, and Margin Defense on the sell side, recovering customer settlement variances and trade term discrepancies. The framing reflects a wider shift in how enterprise AI is being sold. Much of the early [corporate spending on agentic AI](https://www.sovereignmagazine.com/article/4-startups-showing-how-ai-in-finance-automation-pays-off-in-weeks) was justified on productivity grounds, which are difficult to trace on an income statement. ![Anand Veerkar, co-founder and CEO of Rivvun AI](https://cdn.nanimediahouse.com/anand-veerkar.webp) *Anand Veerkar, co-founder and chief executive of Rivvun AI — Photo: Rivvun AI* > "What it needed was AI that creates direct, measurable impact on the P&L, not productivity narratives, not dashboards." > — Anand Veerkar "The enterprise has spent years being told AI will transform how it operates," Veerkar said. "Rivvun closes the gap between what was agreed and what was collected, recovering money that goes straight to the bottom line." His investors are making the same argument. Sachin Bhanot, managing partner of Sitara Capital, an early-growth fund backing vertical AI companies across Asia-Pacific, said the winners in enterprise technology "tie their value directly to a number the CFO can see on the P&L," and that Rivvun's founding team "has already built a category leader in this space." ## Why Revenue Leakage Looks Different in Every Industry Rivvun is deploying vertical by vertical rather than selling a horizontal platform. Chargeback mechanics in pharmaceuticals, with their GPO compliance and government pricing obligations, look nothing like settlement gaps in banking or trade term failures in consumer goods. The company ships agent logic tuned to the failure patterns of each industry, starting with pharma, healthcare, banking, CPG and retail, and industrial. Anurag Ramdasan, partner at 3one4 Capital, the Bengaluru venture firm, said: "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." ## A Crowded Market for Recovery Audit and Rebate Management The problem is old enough to have an industry attached to it. Recovery audit firms such as PRGX and Apex Analytix recover overpayments after the fact. Rebate management platforms such as Enable handle one category of leakage on the buy side, while HighRadius automates [collections and deductions in order-to-cash](https://www.sovereignmagazine.com/article/why-andreessen-horowitz-just-bet-29-5m-on-stuut-s-3-day-software-deployments). Rivvun's bet is that continuous, autonomous recovery across both sides of the P&L is a different product from annual audits and single-category tools, and that the verticalized approach will hold up against incumbents adding AI agents to installed bases. The seed funding will go toward deploying the platform across its first industries. The company is headquartered in Seattle, with engineering in Pune, India. **About Rivvun AI** Rivvun AI builds an autonomous AI execution layer that connects to enterprise ERP, CRM and procurement systems to recover money owed under commercial agreements but never collected, covering supplier rebates, pricing commitments and customer settlement variances. Founded in 2026 by former Icertis executives Anand Veerkar and Niranjan Umarane with entrepreneur Patrick Linton, the company raised a $7.55 million seed round co-led by Sitara Capital and 3one4 Capital. It is headquartered in Seattle with engineering in Pune, India. [Website](https://rivvun.ai/) ## FAQ **Q: What is revenue recovery in business?** Revenue recovery is the process of identifying and collecting money a company is entitled to under its existing agreements but has not received. In an enterprise context that includes unclaimed supplier rebates, unenforced pricing commitments, billing errors and customer settlements that do not match agreed trade terms. **Q: How do companies measure revenue leakage?** Revenue leakage is measured by comparing contractual terms against what was actually invoiced, paid or collected, transaction by transaction. Research by World Commerce & Contracting puts the cost of poor contract management at around 9 percent of annual revenue, and McKinsey has found procurement leakage of 2 percent or more of external spend at large enterprises. **Q: How are businesses using agentic AI?** Early deployments of agentic AI focused on assistants and productivity tools. The current wave acts inside business systems: agents that read contracts, audit invoices against agreed prices, flag unsettled transactions and trigger corrections in ERP and procurement platforms. Rivvun applies this model of AI in procurement and finance to recover money owed under existing contracts. **Q: What is the difference between revenue recovery and debt collection?** Debt collection pursues customers who have not paid invoices that are due. Revenue recovery targets money lost inside otherwise functioning commercial relationships: rebates never claimed, discounts applied incorrectly, settlement terms not enforced. The counterparty is often unaware the money is owed, and the gaps sit in the company's own systems rather than in a delinquent account.