Went the AI route
Built something fast on an AI app builder. Worked fine in the demo. Broke the week real users showed up - or nobody noticed the database was wide open until it was too late.
Gyanforge Labs> Outsource Experienced SaaS and Apps Builders
Hire GyanForge Labs to:
// the problem
Built something fast on an AI app builder. Worked fine in the demo. Broke the week real users showed up - or nobody noticed the database was wide open until it was too late.
Got a quote. It was six figures and four months out. By the time it shipped, your funnel had already changed twice.
Neither path was built for a business moving at your speed, at your size.
// the data
41%
Increase in bug rates after teams adopt AI coding tools
src: Keyhole Software
88%
Of audited AI-built apps had database security fully disabled, not misconfigured - off
src: Creatr
8,000+
Startups that needed a partial rebuild after shipping an AI-only build; rescue jobs run $50K-$500K
src: Creatr
20-30%
Sprint capacity lost to AI-generated bugs by day 90
src: Keyhole Software
This is why “just use an AI builder” and “hire a full custom dev shop” are both the wrong answer for a business your size.
// build types in scope
// how the hybrid model actually works
// selected work
$ open salesdr.ai — in production
SalesDr.ai - a full lead-to-cash CRM built by this team, in production today, not a demo: pipeline and lead scoring, WhatsApp nurture, Razorpay payments, AI-powered call transcription and analysis.
// how it works
Name, email, phone, industry, concept (optional).
A real, manual conversation to understand the fit; no auto-booked calendar slot.
A deeper scoping conversation, followed by a written scope, fixed price, and delivery timeline.
We build, review, launch, and agree any post-launch support before work begins.
// faq
You can, and plenty of founders do for a v1. This is for when that v1 needs to survive real users, real payments, and real data - exactly where AI-only builds tend to fail (see the data above).
Agencies quote agency prices and timelines because they’re not using AI to cut build time. We are - without skipping the human review.
That’s a rescue/rebuild conversation, not a from-scratch one - same first step, different scoping.
Any post-launch support and ongoing changes are agreed during scoping, so the handoff is clear before work begins.
Every build is scoped and fixed-priced individually on the call - there’s no one number that fits a CRM, an app, and an internal tool alike.