<p><strong><span class="legendSpanClass">SAN FRANCISCO</span></strong> &#8212; Numeric, an AI accounting automation platform, has raised a $51 million Series B round led by IVP, with participation from Menlo Ventures, Founders Fund, Alkeon, 8VC, Socii Capital, Access Industries, Friends &; Family Capital, Long Journey Ventures and Fifth Down, as well as Marc Huffman, Former CEO of BlackLine, and Ron Gill, Former CFO of NetSuite. This investment, which brings Numeric&#8217;s total funding raised to $89 million, will allow Numeric to expand from close management into a broader compound startup model &#8211; delivering a unified data platform for enterprise finance teams.</p>
<p>Numeric is also launching its cash management product. Accounting for cash is often the most painful step of the close process for enterprises, and it starts with cash matching: the process of reconciling bank transactions with general ledger entries. Legacy tools often deliver match rates below 30%, leaving finance teams to reconcile hundreds or thousands of transactions manually. For growing companies, this can require teams of five or more people dedicated solely to cash reconciliation.</p>
<p>Numeric&#8217;s solution says it achieves a 90%+ auto-match rate; nearly triple the industry standard. Early customers of the new product, including Brex, Public.com, and Clipboard Health, are already eliminating multiple days of manual reconciliation work each month.</p>
<p>The Series B represents a pivotal moment in Numeric&#8217;s evolution from a close management solution to a multi-product platform with a shared data core. With three core products now live – Close Management, Analytics, and Cash Management – Numeric is building what CEO Parker Gilbert describes as &#8220;the connected platform for finance operations.&#8221;</p>
<p>&#8220;We started by solving the close, but our vision has always been greater,&#8221; said Gilbert. &#8220;Each product we build makes the others more powerful. We&#8217;re marching toward a future where accounting isn&#8217;t manual spreadsheet work but instead is a real-time strategic function. This funding accelerates that timeline significantly.&#8221;</p>
<p>&#8220;Numeric has consistently demonstrated exceptional product execution and deep understanding of what finance teams actually need,&#8221; said Ajay Vashee, General Partner at IVP. &#8220;Their ability to expand from close management into analytics and now cash management, while maintaining product excellence across each, shows they&#8217;re building something truly differentiated. We&#8217;re excited to support their vision for the future of accounting.&#8221;</p>
<p>Brex, who piloted the product, saw their match rate jump from 30% to over 90%, enabling their team to dramatically reduce time spent on manual reconciliation work.</p>
<p>&#8220;Numeric didn&#8217;t have the dream of just a project management tool. Numeric had the dream of a flux analysis product, a cash reconciliation product, the full linking between the ERP system and their platform. And Numeric had the dream of AI,&#8221; said Kevin Moore, Controller at Brex. &#8220;I think ultimately that implementing Numeric is one of the best decisions I&#8217;ve made as controller over my 7 years at Brex.&#8221;</p>
<p>Numeric&#8217;s platform strategy mirrors successful enterprise platforms like Salesforce and Rippling, which built category-defining businesses by expanding horizontally across related workflows. The company plans to launch additional products throughout 2026 and 2027, each designed to automate a different critical accounting workflow.</p>
<p>Numeric&#8217;s approach combines AI for pattern recognition with deterministic code for calculations and human oversight for exceptions. The platform approach is underpinned by Numeric&#8217;s AI philosophy: use it thoughtfully, not indiscriminately.</p>
<p>&#8220;AI is powerful, but imperfect. Most importantly, accounting can&#8217;t tolerate errors compounding,&#8221; said Gilbert. &#8220;We route the right work to the right operator: AI to interpret unstructured data, code to handle calculations with precision, and humans to add context and make judgment calls.&#8221;</p>

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