Namanyay launched Gigacatalyst, an AI-powered customization layer that lets non-technical users build custom features directly inside SaaS products. The platform connects to a product's APIs, learns its data model and design system, then allows sales teams, customer success, and end users to create one-off workflows through natural language prompts—without pulling engineers away from the roadmap.

The system uses agentic API discovery to parse endpoints and request shapes, then generates apps with validation steps including static checks, runtime error analysis, and LLM-as-a-judge. A custom compilation and sandboxing framework enables sub-second interaction times, while a proxy layer handles authentication, tenant isolation, and rate limiting. After accumulating 2,000+ daily users, building 900+ apps, and achieving 70% 30-day retention, the startup opened its public demo.

One Series B customer saw users (not engineers) build critical workflows: a maintenance manager created a parts stockout prevention app that reportedly prevented ~$500K in emergency downtime. Other examples include invoice OCR from phone photos and restaurant emergency triage systems. The tool targets SaaS companies handling diverse customer use cases who want to reduce custom engineering requests while letting customers solve their own problems.