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Your AI-Native Technology Partner.

We design, build and test AI-integrated software, web and mobile products for businesses that want automation with evidence — not demos.

  1. Data
  2. AI engine
  3. Agents
  4. Software
  5. Outcome

Mohali, India delivery hubServing US, UAE, Canada, Australia & UK

Delivery footprint

One senior team in Mohali, working your hours.

Mohali, India hub · overlapping hours with US, UAE, Canada, Australia & UK.

  • Mohali hub
  • United States
  • United Arab Emirates
  • Canada
  • Australia
  • United Kingdom
Overlapping hours shared their day
  • USevening
  • UAE7.5 h
  • Canadaevening
  • Australia3.5 h
  • UK3.5 h

Shaded column: Mohali core day 09:00–18:00 IST. Standard-time offsets; evening windows are agreed for North American clients.

Stacks we ship

  • AI Integration
  • AI Agents
  • RAG Systems
  • LLM APIs
  • Next.js
  • React
  • Node.js
  • Laravel
  • React Native
  • Flutter
  • QA Automation
  • Playwright
  • API Testing
  • AI/LLM Testing
  • SEO / GEO
  • Azure
  • AWS
  • PostgreSQL

How we work

From idea to growth — how we turn a business goal into a working system.

  1. 01Idea

    It starts with a business goal, not a feature list.

    Discovery first: the outcome you need, the users, the constraints and what done looks like — before a line of code is written.

    Find the right service
  2. 02Intelligence

    AI that connects to your data and tools.

    Agents, retrieval-augmented generation and LLM integrations designed as tested system components — grounded in your content, not guessing.

    AI Integration & Agentic Workflows
  3. 03Engineering

    Layered software built to be maintained.

    Web platforms, SaaS products and mobile apps on Next.js, Node.js, Laravel and React Native — clean architecture that scales with you.

    Web & Software Development
  4. 04Quality

    Every release ships with evidence.

    Functional, regression, API, performance and AI/LLM evaluation testing, led by a Top Rated Plus QA lead — so nothing reaches customers on assumption.

    QA & Test Automation
  5. 05Deployment

    Launch is a stage, not the finish line.

    Cloud deployment on Azure, AWS or Vercel with CI/CD, monitoring, analytics and a documented handover your team can own.

    Cloud & DevOps capabilities
  6. 06Growth

    Then the product keeps earning.

    Search and AI-answer-engine visibility, analytics and evidence-driven iteration turn a launch into bookings, leads and activation.

    Digital Marketing & SEO/GEO

Engineering

From a line of code to a system in production.

Every build follows the same path: readable code, an architecture with clear boundaries, an interface people can use, and a system that runs — monitored, documented and handed over.

Web & Software Development
  1. 01Code

    Code you can still read a year later.

    TypeScript on Next.js and React, Node.js or Laravel on the server — written to shared conventions, reviewed in pull requests and covered by tests before it is merged.

  2. 02Architecture

    Layers with clear boundaries between them.

    Frontend, API, AI services and the database are separate layers with typed contracts, so a model provider or a data source can change without a rewrite. LLM calls sit behind your API, never in the browser.

  3. 03Interface

    An interface designed around the job to be done.

    Dashboards, portals and booking flows built from one component system — accessible, responsive and fast, with the states people actually hit: loading, empty, error and done.

  4. 04Production system

    A system that runs, and keeps running.

    Deployed to Azure, AWS or Vercel through CI/CD, with monitoring, logs and alerts, a staging environment and a documented handover your own team can operate.

    Next.js · Node.js · Laravel · PostgreSQL · Azure / AWS

AI & Automation

AI that does real work — explained in plain language.

Four ideas cover most of what businesses ask us for. None of them require replacing the software you already have.

Reference architecture

Live loop

  • 01

    Generative AI

    Models that write, summarise, classify and reason over your content — embedded as features people actually use, not a chat box bolted on.

  • 02

    AI agents

    Systems that plan multi-step tasks and act through your tools — CRM, calendar, documents, databases — with explicit permissions and human hand-offs.

  • 03

    Retrieval (RAG)

    Every answer is grounded in your approved data, with citations and access control, so the AI stops guessing and says so when it is unsure.

  • 04

    Workflow automation

    Lead qualification, scheduling, intake and document processing handled end to end — with people reviewing the decisions that matter.

AI Agents

A chatbot answers. An agent finishes the task.

The difference is tools, decisions and accountability. Agentic workflows act inside your systems, with a person in the loop where it matters.

Traditional chatbot

Question → Answer

Responds from a script or a model, then stops. It cannot check a calendar, update a record or complete anything.

“Can I book a consultation next Tuesday?”
“Our opening hours are 9–6. Please call us to book.”

Conversation ends · nothing booked · nothing updated

Agentic workflow

Input → Outcome

Plans the steps, uses your tools with explicit permissions, decides — and escalates to a person when it should.

  1. 1

    Input

    Enquiry arrives by form, chat or email.

  2. 2

    Plan

    Identify intent, missing details and the steps needed.

  3. 3

    Tools & APIs

    Check availability, look up the record, read the policy.

    • CRM
    • Calendar
    • Docs
    • DB
  4. 4

    Decision

    Confirm the slot, or route to a person if confidence is low.

  5. 5

    Outcome

    Booking created, CRM updated, confirmation sent.

Where agents earn their keep first

Repetitive, rule-heavy work with clear systems of record — the same workflows we scope in an AI feasibility review.

See AI Integration & Agentic Workflows
  • Lead qualification

    Read, enrich and score enquiries, then book the right call.

  • Customer support

    Grounded answers from your knowledge base with clean hand-off.

  • Scheduling

    Reschedules, reminders and waitlists across calendar and messaging.

  • Document processing

    Extract, classify and validate forms, invoices and contracts.

Process

Discover to Scale, with one accountable team.

Capped hours, written acceptance criteria and a demo at every sprint — the same senior people from scoping to handover.

Our process in detail
  1. 01

    Discover

    Understand the business goal, users, constraints and what success looks like.

  2. 02

    Define

    Scope, acceptance criteria, architecture decisions and a stage plan with capped hours.

  3. 03

    Design

    Wireframes first, then high-fidelity UI and interaction design.

  4. 04

    Build

    Iterative sprints with demos, on a foundation built to be maintained.

  5. 05

    Validate

    Functional, regression, performance, accessibility and AI evaluation testing.

  6. 06

    Launch

    Deployment, analytics, documentation and a clean handover.

  7. 07

    Scale

    Evidence-driven improvements, support and new capabilities.

  • 07 stages
  • Capped hours per stage
  • Written acceptance criteria
  • Demo every sprint

Why QualiteSoft

Senior-led, quality-first and built for what comes next.

The people who scope your project are the people who build and test it. No brokers, no bait-and-switch.

Led by
Kay (Kuldeep) Singh, Founder
Experience
14+ years pre-sales & delivery
Delivery
CMMI Level 5 background
Quality
Top Rated Plus QA lead
Hub
Mohali, India · US, UAE, Canada, Australia & UK
Meet the team
  1. 01

    Business understanding first

    Founder-led discovery with 14+ years of pre-sales and delivery experience. We scope against the outcome you need — bookings, leads, activation — not a feature list.

    About QualiteSoft
  2. 02

    AI-ready engineering

    Provider-agnostic AI architecture, RAG and agents built as tested system components — the approach behind AI products such as an AI career-coaching platform.

    AI Integration services
  3. 03

    Quality engineering, not a QA phase

    A CMMI Level 5 delivery background and a Top Rated Plus QA lead. Every release ships with test evidence: functional, regression, API, performance and AI/LLM evaluation.

    QA & Test Automation
  4. 04

    Flexible engagement

    Six models — fixed project, dedicated team, staff augmentation, QA-as-a-Service, AI consulting and maintenance — with capped hours and written acceptance criteria.

    See engagement models
  5. 05

    Global delivery, overlapping hours

    A Mohali, India delivery hub with English-fluent senior staff and agreed overlap hours for clients in the United States, United Arab Emirates, Canada, Australia and the United Kingdom.

    How we work with you

Client voices

What clients say

Only verified testimonials with permission are published here.

Awaiting approved quotes

Verified client testimonials to be supplied by QualiteSoft.

Add approved quotes (name, role, company, country and permission) in the content layer or CMS to publish this section. Nothing here is invented.

Client approval required

AI Lab

What we are building with AI — labelled honestly.

Delivered work, internal tools, prototypes and concepts are marked as exactly that. Nothing here is presented as client work unless it is.

qualitesoft / ai-lab03 entries

  • Delivered
  • Internal tool
  • Prototype
  • Concept
  • 01Generative AIDelivered

    Career Intelligence Engine

    Profile-grounded AI that reads patterns across a member's answers, proposes career paths with written reasons and evidences strengths — built for an AI career-coaching platform.

    Node.js · React · Azure

  • 02AI AgentsInternal tool

    Outreach Research Agent

    An internal agent that researches prospects and markets from public sources, structures findings and drafts outreach for human review.

    TypeScript · LLM APIs · Web search tools

  • 03AI/LLM TestingInternal tool

    AI-Assisted QA Tooling

    Evaluation harnesses and test-generation helpers the QA team uses to test AI features: golden datasets, LLM-as-judge scoring and prompt regression in CI.

    Playwright · Node.js · Evaluation scripts

Have a Technology Challenge?

Let’s build software that moves your business forward.

Tell us what you are trying to achieve. We reply within one business day.

Mohali, India delivery hub · overlapping hours with US, UAE, Canada, Australia, UK