AI Product Engineering Studio

Your Product Team,
Without the Hiring Cycle.

Product + Engineering + AI + QA — one integrated team, from idea to production, without assembling six separate hires.

0 Years combined team
experience
0 Enterprise environments
delivered
0 Regression cycle time
reduced
<5% Production defect
leakage

The Problem

Great ideas don't fail
from lack of vision.

They fail because product, engineering, AI, and quality are usually fragmented — right when you need them working as one.

  • Hiring 5–6 senior specialists can take a quarter you don't have.
  • Multiple vendors mean delays, diluted ownership, and lost context.
  • Moving fast without engineering discipline creates expensive rework.

The Solution

One integrated team.
Every discipline you need.

You get senior-level product, engineering, AI, and QA talent working together from day one — not a chain of subcontractors billing separately for the same outcome.

Product
Architecture
Engineering
AI
QA
Cloud

Where We Focus

Our Three Core Plays

01

AI-Native SaaS

Build new SaaS products from idea to production, with AI embedded from day one — not bolted on after the fact.

02

Product Modernization

Transform legacy applications into scalable, AI-ready platforms — without disrupting the business that depends on them.

03

Product Quality Engineering

Automate QA, performance, and release confidence so growing products can ship faster without breaking.

Full-Stack  •  Cloud  •  Mobile  •  APIs  •  Data & BI  •  DevOps  •  AI Agents  •  Security

Why Ezerix

Why Ezerix Instead of Hiring or Outsourcing?

Hiring a Team Traditional Vendor Ezerix
Time to StartMonthsWeeksDays
Product OwnershipInternalSplitIntegrated
AI ExpertiseBuild InternallyDependsBuilt-In
QASeparate HiringOften SeparatePart of Delivery
Founder AccessN/ALimitedDirect
FlexibilityLow InitiallyMediumHigh

The core thing you're buying: a product team, without the hiring cycle.

Selected Experience

What Our Team Has Delivered

Real engagements from our team's careers prior to founding Ezerix — the track record behind every Ezerix engagement.

Enterprise SaaS

Regression Cycles Cut by 85%

Challenge

A multi-tenant enterprise platform's regression burden was slowing a growing release cadence.

Approach

Architected a scalable test automation framework and embedded quality gates across the release lifecycle.

Result

Regression cycle time reduced by 85%; production defect leakage reduced from 20% to under 5%.

AI & Analytics

AI-Powered Reporting, Shipped

Challenge

Enterprise users needed natural-language access to complex operational data.

Approach

Built AI-integrated dashboards and backend pipelines connecting live data to a conversational interface.

Result

10+ production visualizations wired to an AI-powered chat interface for natural-language insight.

Quality Engineering

Automation at Enterprise Scale

Challenge

Manual testing couldn't keep pace with a twice-weekly release cadence.

Approach

Rebuilt the automation framework with AI-assisted test generation across web and API layers.

Result

85% automation coverage, sustaining reliable regression runs twice a week.

Technology Expertise

The Stack Behind Our Delivery

Frontend

Interfaces users love, at scale

  • React
  • Next.js
  • TypeScript
  • React Native

Backend

Reliable services powering every flow

  • Node.js
  • Python
  • Rails
  • FastAPI
AI-FIRST

AI

Embedded across the full lifecycle

  • LLM Integrations
  • AI Agents
  • Prompt Engineering
  • Structured Outputs

Cloud

Resilient infrastructure, built to scale

  • AWS
  • Docker
  • PostgreSQL
  • CI/CD

Quality Engineering

Automated confidence in every release

  • Playwright
  • API Testing
  • Performance
  • Security

The Founding Team

The People Behind Ezerix

KS

Karthik Sundarraj

Founder & CEO — AI Product Strategist

19+ years engineering enterprise SaaS platforms — architected automation frameworks that cut regression cycles by 85% and led ISO 9001/27001 programs.

MS

Mathi S

Head of Engineering

5+ years building full-stack, AI-integrated products — from QA to Lead Full-Stack Developer shipping React and Node.js platforms.

GK

Ganesh K

QA Automation & Test Engineering Lead

7+ years leading QA automation — architecting Playwright and Selenium frameworks with AI-assisted test generation.

PT

Priyadharshini Thirupathi

AI / LLM Platform & Backend Lead

Nearly 4 years engineering AI/LLM pipelines — production migrations to structured-output APIs and shadow-mode rollouts.

DB

Danish Benson H

Frontend Architecture & Platform Lead

3+ years leading frontend architecture — React, TypeScript, Ember.js and Rails across scalable multi-tenant platforms.

FV

Femi Venus

Full-Stack & Mobile Engineer

Building React, React Native, Node.js and FastAPI apps with multi-tenant architecture and real-time features.

Engagement Model

How We Work Together

Primary Offer

Product Engineering Pod

A dedicated senior pod — product, engineering, AI, and QA — embedded in your business until launch and beyond, without the overhead of hiring six separate specialists.

Also Available

Idea to MVP
AI-Native Builds
Technology Modernization
Enterprise Applications
Long-Term Partnership

Your First 30 Days

You Don't Need to Trust Us for a Year.

A defined proof-of-value engagement — give us 30 days to prove it.

Week 1

Discovery & Requirements

We map your product, users, and technical constraints.

Week 2

Architecture & Plan

UX direction, technical architecture, and a delivery roadmap you can see.

Week 3

Sprint One

Engineering begins — product, AI, and QA working in parallel.

Week 4

Working Increment

A real, working product increment you can evaluate before committing to the next phase.

Every great company starts with an idea.

Every successful product starts with the right team.

Let's Build Something Real.

Bring us your problem. We'll bring the product team — product, engineering, AI, and quality, working together from day one.

info@ezerixtech.io