Onshore

Onshore validated demand for AI-powered R&D tax credit preparation by observing that accounting firms and finance teams repeatedly abandoned manual processes mid-project. The company tracked how many users returned to complete filings after initial signup—a behavioral signal far stronger than survey responses about interest. Early traction emerged when mid-market companies began requesting bulk licenses within weeks of pilot access, indicating genuine operational need rather than casual curiosity. The decisive proof came through usage patterns: customers spent measurable time within the platform preparing actual credits, not just exploring features. Onshore measured this by monitoring completion rates and the complexity of credits being processed, which climbed steadily as users tackled increasingly sophisticated R&D scenarios. When accounting firms started integrating Onshore into their standard workflows and requesting custom integrations, the company knew they'd identified authentic demand—these weren't hypothetical endorsements but concrete business decisions backed by budget allocation and internal process changes.