What if non-engineers could build the missing features your customers need?

When you sell software to large businesses, you realize every customer needs their own workflow and features. Traditionally, this means long engineering roadmaps — or the customer ends up using workarounds that slowly push them toward churning.

What if everyone could build their critical missing features just by talking to an AI? That's the problem we're solving with Gigacatalyst. A safe AI builder for your customers, CS team, and sales team to build missing workflows without needing any engineers.

The results so far #

We're live with a YC-backed Series B company. In 6 weeks:

• $1M in sales pipeline unblocked
• $100K in churn prevented
• 900+ apps built by non-engineers
• 70% 30-day retention
• 2000+ daily active users

You're losing deals because you don't have the features #

You're in a competitive sales call. The prospect asks "can it do X?" and the answer is "it's on our roadmap." They go with the incumbent who already has it.

One of our customers was losing $30K+ deals like this every month. In 6 weeks after integrating Gigacatalyst, their sales team unblocked $1M in pipeline.

How? Instead of promising a roadmap, the SE builds the missing workflow live in the demo. Not a mockup — a real app, on their actual API, with the prospect's data. Your sales team can finally say "yes we can do that" and mean it today, not next quarter.

Your customers bought the software but aren't really using it #

Three months in, utilization drops. Usually because your software doesn't match how they actually work — so it never becomes the thing people open first every morning.

This becomes a real problem when the CFO runs a cost review and asks "why are we paying for this?" and you're in a churn conversation.

We saw a maintenance manager at a packaging plant build 13 custom apps in 7 weeks — parts reorder forecasting, role-specific dashboards, digital inspection walks. He uses them every single day. 193 launches across 20 active days. That's a customer who will never churn because the product finally works how his facility actually runs.

With Gigacatalyst, customers make the product fit their workflow instead of forcing their workflow to fit the product. That's the difference between low adoption and a product people can't live without.

Your engineering team is drowning in one-off requests #

Every enterprise customer wants their own version of your product. Your backlog has 200 requests that each serve 10-50 customers — not enough to justify a sprint, but enough that ignoring them costs you renewals.

Building these the traditional way takes 3-6 months each. You can't do it for every customer. And you shouldn't bake every edge case into the core product — that's how you end up with unusable bloatware.

With Gigacatalyst, non-engineers build these things themselves. CS teams, Sales Engineers, and customers directly. 900+ apps were built in 6 weeks without a single engineering sprint. That's roughly 2,400 engineering hours delivered by people who aren't engineers.

Your product team stays focused on the platform. The long tail of feature requests gets solved by the people who actually understand the workflow best.

What it looks like in practice #

The AI understands your API endpoints and your design language. It works under your guardrails to let anyone create new features in minutes — built on your actual data.

Real apps people have built:

• Routing & dispatch — tracking work orders across multiple locations
• Safety hazard tracker — analyzing critical safety operations from actual data
• Mobile photo-to-record — field operators adding data to the system of record with one click instead of 5-10 clicks in a complicated mobile app

These aren't toy prototypes. They're production apps running on real APIs with real users every day.

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