Gigacatalyst

Gigacatalyst is an embedded AI customization layer that lets B2B SaaS companies turn customer-specific workflow requests into native product features, without routing every gap through engineering. Founded in 2025 by Namanyay Goel and backed by Y Combinator (Spring 2026 batch), the platform embeds directly inside a host SaaS product, learns its APIs and design system, and lets sales, solutions, and customer success teams build apps, dashboards, and automations in natural language. Each built workflow runs in a sandbox, inherits the host product's auth and RBAC, and can be shared across a customer's org through a built-in app store. Gigacatalyst reports strong early traction among Series B companies, including a 90% repeat usage rate among deployed customers, $1M+ in pipeline unblocked within six weeks for at least one client, and 70% day-30 retention on built apps. White-glove installation takes roughly two days with no engineering work required from the host SaaS team. The product targets a structural pain in vertical SaaS: enterprise buyers need bespoke workflows, but custom builds create backlogs, churn risk, and lost deals. Gigacatalyst positions itself as the fastest path from "we don't have that feature" to a working, governed extension, increasing usage, retention, and expansion without waiting on a product roadmap.