CoPlane was founded in 2024 by Chris Sperandio, a former Lead Product Architect at Segment who later led product acceleration at Stripe, to attack one of enterprise software's most stubborn problems: the sprawl of rigid, expensive ERP-adjacent systems that force back-office teams into endless manual data entry. Rather than asking large organizations to rip out their existing ERP, CoPlane layers an AI-native automation platform on top of it, turning brittle, multi-step workflows into agentic applications that run with minimal human intervention.
The platform targets 'essential enterprises' — companies in industrials, healthcare services, and late-stage technology whose operations depend on accurate, timely handling of invoices, purchase orders, and sales orders. CoPlane's agents read documents, reconcile exceptions, route approvals, and write structured data back into systems of record, collapsing tasks that once took back-office teams hours into seconds. Early deployments with customers including OI Infusion and Red Ventures automate invoice exception handling and sales order entry.
A core design principle is that CoPlane runs within each customer's own infrastructure and security perimeter, addressing the data-governance and compliance concerns that block many AI deployments in regulated and operationally sensitive industries. This 'bring AI to your data' posture differentiates CoPlane from pure SaaS automation tools.
In November 2025, CoPlane announced a $14 million seed round led by Ribbit Capital, with participation from Stripe, Optum Ventures, and Terrain. Ribbit partner Jordan Angelos highlighted CoPlane's potential to transform legacy ERP-adjacent workflows into agentic applications. The backing from Stripe and Optum Ventures signals validation across fintech and healthcare, two of CoPlane's core verticals.
CoPlane positions itself as the connective tissue between the AI era and the decades-old ERP systems that still run the physical economy, betting that the biggest near-term value from enterprise AI lies in automating the unglamorous but mission-critical work of the back office.