Gigacatalyst: Embed an AI Builder in Your SaaS to Let Users Create Custom Workflows

Gigacatalyst (gigacatalyst.com) is an embedded AI customization layer that lets your sales, CS, and end users build one-off features on top of your SaaS platform — without pulling engineers from the roadmap. The startup claims 2000+ daily users, 900+ apps built, and 70% 30-day retention.

How it works

After pointing Gigacatalyst at your product's APIs, their agents perform automated discovery — parsing endpoints, query parameters, request/response shapes, and sample data. Users then describe what they need in plain English, and the system generates a working app inside your product under your brand.

Under the hood

• Agentic API discovery: Agents crawl your app's API surface to build a base layer.
• Generation and validation: Multiple validation steps — static checks, runtime error analysis, and LLM-as-a-judge — ensure reliability.
• Sandboxing and compilation: Custom compilation/sandboxing framework for fast iteration (users interact with the app in seconds).
• Proxy layer: Handles auth, tenant isolation, and rate limiting. Everything is logged, observed, and version controlled.

Real-world examples

One Series B customer saw non-engineers (managers, ops, facility directors) build critical workflows:

• Parts stockout prevention: A maintenance manager prompted: "show me which parts will run out in the next 2 weeks based on usage over the last 90 days, accounting for vendor lead times." The resulting app tracks velocity, forecasts stockouts, and alerts — preventing ~$500K in emergency downtime.
• Invoice OCR from phone photos: Technicians snap a photo of a paper invoice; the app extracts vendor, date, amount, line items, matches to PO, and flags discrepancies.
• Restaurant emergency triage: A facilities manager built a priority matrix — "walk-in freezer not cooling" routes as CRITICAL, "dining room light flickering" goes to LOW — reducing maintenance backlog chaos.

Try it

The public demo is live at app.gigacatalyst.com. Enter your SaaS product's API URL (or just the homepage) and start prompting.

Who it's for

B2B SaaS companies dealing with long-tail customer workflow requests that would otherwise require engineering time or lead to customer workarounds.