Case Study: Adaptive achieves faster product development with Figr

Adaptive speeds product development 30% with Figr

Adaptive, an enterprise access control provider for major fintech companies, struggled with generic AI design tools that generated outputs ignoring their specific product reality and complex UX constraints. Their CTO, Debarshi Basak, stated that tools like Claude and Lovable produced templates that failed to respect their dark mode design system or the dense information architecture required for security software, leading to wasted time debugging prototypes instead of validating concepts.

Figr implemented a different approach by first learning Adaptive's existing product through screenshots or a Chrome extension, analyzing its design system and patterns before generating thoughtful designs. This process resulted in a 30% faster development cycle, 95% code accuracy requiring minimal rework, and a tripling of design output without hiring new designers. Figr enabled Adaptive's product team to lead UX decisions directly, producing intuitive, production-ready designs that earned trust from their security-conscious customers.

Adaptive