This isn't an agency. It's a launch machine.
Uncertain whether to rebuild or refactor
your vibe-coded app?
Talk to us Monday. Get your audit and action plan by Wednesday.
From vibe-coded MVP to engineered, scaled product
You shipped fast. It works. Now the real question — do you rebuild, refactor, or keep shipping? Here's how to think about scaling your app without breaking what already works.
Library
Watch how we build & scale.
No perfect brief needed
Whatever stage you're stuck at, there's a next step.
Not sure if your MVP can scale?
Send the repo. We give you a scale verdict in 48 hours.
Debating rebuild vs. refactor?
We show you the cheaper, faster path — with reasons, not opinions.
Non-technical and tired of guessing?
You talk in outcomes. We handle the stack.
Have a POC but no GTM plan?
We wire up the automation that turns users into pipeline.
Is this you?
If one of these is true, keep reading.
Before you scale
What every non-technical founder needs to check before scaling.
Data & database
Schema & indexes
Backend logic
Queues & retries
Infra & deploy
CI/CD & staging
Security & auth
Roles & validation
Testing & alerts
Coverage & uptime
Cost & docs
API costs, handoff
GTM Engineering
Run go-to-market as engineering, not guesswork.
Pipeline, attribution, and outreach built like a product — measured, shipped, and iterated. Started by engineers who treat the funnel as a system.
The GTM stack we ship
From audit to iterating revenue — as a build queue.
Revenue & funnel audit
Map the funnel, data, and tooling — find where pipeline leaks.
Build the engine
RevOps, AI outbound, and attribution shipped in 2–4 week sprints.
Wire the data
Every system to one warehouse — pipeline, attribution, forecast.
Iterate & scale
Weekly experiments on outreach, routing, and conversion.
Fractional CTO, on call
The engineering work that takes your MVP from "it works" to "it scales."
Scale & Performance Engineering
Load testing, caching, and infra fixes so 10x traffic doesn't take your app down.
Lead Qualification & Routing Agent
Every inbound lead scored and routed before you open your inbox.
Support Deflection Agent (RAG)
Answers 60–70% of tier-1 tickets from your own docs, no headcount added.
Codebase Health Audit
48-hour verdict: rebuild, refactor, or keep shipping — with a reason, not a guess.
Ops Workflow Automation
Turns manual copy-paste work into one automated pipeline (n8n, Zapier, Make).
GTM Engineering
Instrumented funnels, attribution, and outbound systems that actually feed pipeline.
The difference
What you're used to. What actually happens here.
Case studies
Nexus Club — an AI-powered deal flow platform
A curated marketplace connecting founders, investors, and partners — built with a multi-step intake system, a WhatsApp AI assistant that qualifies leads before a human sees them, and an n8n automation backbone routing every submission in real time.
Order Success OS — AI-powered RTO prevention for D2C brands
An enterprise-grade Return-to-Origin (RTO) intelligence platform for D2C and COD-heavy e-commerce brands — scoring every order's risk before it ships, forecasting failures a week out, and giving ops teams a live command center to stop revenue loss.
One part of scale engineering
Automation is one piece of the build. Here's where it fits.
The actual workflows
Not concepts. Here's exactly what runs behind the scenes.
D2C Brands — Order to Fulfillment
E-commerce — Cart Recovery
What it's built with
Average 14 days from first call to a working v1 in your hands.

Who you'll actually talk to
Mitul - Your fractional CTO and Builder
Gives you a rebuild/refactor verdict in 48 hours, not 6 weeks of discovery.
- Wrote the first commit on all 23 shipped products
- Answers your message personally — no account manager
- On every call until the day you launch
Services & solutions, plainly
What you're actually buying.
Short answers on what Empiryx ships, what it doesn't, and how the India model really works.
Empiryx Talent places individual pre-vetted engineers into your existing workflow — fast, flexible, one role at a time. A dedicated engineering team is an assembled squad that works as your offsite pod, with its own delivery rhythm and shared context. Most clients start with Talent and graduate to a team once the work is proven.
Explore more
Hire AI Developers in India
Pre-vetted ML, NLP, LLM & CV engineers. Onboard in 7–10 days.
Offshore Development Team India
Dedicated offshore engineering team embedded in your workflows.
ODC & GCC Setup India
Start with an ODC. Evolve into a fully owned GCC as you scale.
Hire Machine Learning Engineers
ML Engineers, Data Scientists, NLP & MLOps specialists in India.
Build Engineering Team in India
Full-team formation — frontend, backend, AI/ML, DevOps, and leads.
AI Automation
n8n, Zapier & custom workflows that run your business on autopilot.
AI Engineering
RAG, fine-tuning, and AI agents built for production, not demos.
MLOps
Model serving, monitoring, and CI/CD for machine learning systems.
DevOps
CI/CD, infrastructure as code, and observability that scales.
Application Scaling
Performance audits and fixes that take your MVP to production-ready.
Database & Data Engineering
Database design, pipelines, and migrations built to last.
Straight answers
No hedging. No fine print.
We tell you in 48 hours, with reasons — not a sales pitch to rebuild everything.
Every week you wait is a week your competitor ships instead.
Talk to the Builder.