platoseed
Eliminating accrual spreadsheets for faster month-end
Month-end shouldn’t be a race against the clock. For most mid-to-enterprise finance teams, accruals are a manual bottleneck. Chasing missing invoices and manually updating spreadsheets can eat up 4+ days of every month-end close. Mesh changes the timeline. We automate 90% of the accruals process by capturing real-time usage and service signals directly from your AP inbox, Slack, Teams, and historical journals. We turn fragmented data into audit-ready outputs, so you can stop guessing and start closing. See how top teams are accelerating their close by 4+ days at www.usemesh.com
Mesh is a finance automation platform that aims to eliminate manual accrual spreadsheets by automating accruals using real-time signals from procurement, AP inboxes, and collaboration tools. It targets mid-to-enterprise finance teams to close month-end faster and provide auditable, centralized accrual logic and data.
Mesh centralizes vendor context by analyzing invoicing patterns across procurement systems, shared AP inboxes, contracts, and journal entries. It enables teams to encode accounting logic for accruals and prepaids, apply that logic consistently month after month, and flag only exceptions for review. The platform provides a version-controlled policy where users define how accruals should work, supports test runs, tracks overrides, and maintains an auditable trail of changes and calculations.
Who it’s for: Mid-to-enterprise finance teams
Website emphasizes demo requests, automation capabilities, and month-end acceleration; mentions of real-time signals and auditable scripts imply product traction and ongoing development.
Co-Founder and CEO at Mesh. After scaling Carta’s fund accounting business from $20M to $100M, Erin is now focused on helping finance teams close 4+ days faster. By leveraging her experience as an early finance hire at Carta, she is building Mesh to automate 90% of the accruals process—eliminating manual spreadsheets with auditable scripts. Erin graduated with a full-ride scholarship from Washington University in St. Louis.
Co-Founder and CTO at Mesh. Nandini spent the last 5+ years at Carta building accounting automation workflows, in-house general ledger, fund formation software, lending products (i.e. capital call lines), and auditor portals. She led a team of 4 engineers as an engineering manager. Prior to that, she co-authored a Machine Learning patent at eBay. She holds bachelor’s and master’s degrees in electrical and computer engineering from Carnegie Mellon.
Saving accountants hours by auto-reconciling bank transactions
Mesh announces an AI agent that auto-reconcilies bank transactions by mapping them to the correct Chart of Accounts, targeting accounting firms and fractional CFOs to reduce time spent on reconciliation. The product requires uploading COA and transactions, then reviewing and exporting AI-reconciled results.
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