Seals AI

Seals AI adopted a usage-based pricing model tied to transaction volume, charging wholesalers and distributors per quote generated, order processed, and payment collected by their AI employees. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Rather than launching with a fixed price, the founders conducted direct conversations with target customers—wholesalers managing hundreds of daily manual tasks—asking explicitly what they'd pay to automate order entry and payment collection. These conversations revealed customers would pay 15-30% of labor cost savings, validating the value proposition. Seals structured their revenue model as a percentage of transactions processed, aligning incentives with customer success. Early validation came when their first five pilot customers immediately renewed after 30 days, with three expanding to additional workflows. These quick renewals and expansion signals proved customers genuinely valued the automation enough to maintain paid subscriptions, rather than simply testing free trials. The team's prior experience scaling their previous startup to $6M revenue informed their disciplined approach to pricing conversations before full market launch.