Gigacatalyst

Gigacatalyst is an embedded AI configuration builder for B2B SaaS. It takes customer requests in plain English—like “show renewal risk by region”—and automatically generates dashboards, reports, and workflows inside your product, using your existing APIs, permissions, and branding. This means every feature it builds is live from day one, tied to real data, and obeys the access rules you already enforce. The finished apps appear in your product, under your brand, so customers never see a separate tool. It’s built for sales engineers, customer success teams, and implementation consultants who need to move from “yes, we can” to a working demo that survives contact with the customer. Gigacatalyst ingests context from call notes, transcripts, or spreadsheet logic. It connects to tools like Gong, Chorus, Granola, and Fathom, turning discovery conversations into actionable app ideas. You can also drop in an Excel or Google Sheets workbook and have its formulas and logic converted into a live app connected to your data stack—REST, GraphQL, Postgres, MySQL, NetSuite, Snowflake, and more. Each app inherits your permission model, so there’s no second system to keep in sync, and the builder refuses to generate code that includes made-up records. The platform includes automated evaluations and self-healing loops that test outputs against your API results, catching errors before customers see them. It also handles white-labeling: apply your logo, color palette, and design tokens so everything looks native. Report delivery can be scheduled on any cadence, and sharing is one click. Gigacatalyst is backed by Y Combinator and claims customers like UpKeep (1,000+ daily users) and Scalio.app (500 DAU in a month). Where it differs from low-code platforms like Retool or Bubble is focus: Gigacatalyst is purpose-built for the demo-to-implementation pipeline, not general-purpose app building. It’s a bridge between promises and delivered functionality, with usage data captured before you