Cortexa AI — Automation, AI Agents & System Integration for Growing Teams
The Next Gen

Your Reliable Tech Partners

Explore services

Websites, applications, dashboards and eCommerce systems. Delivered on time, maintained long-term and 24/7 supported by our team.

What We Do

End-to-end automation expertise

From workflow design to ongoing support, we handle the full lifecycle of your automation — not just the build.

Website Designing

Clean, modern, high-conversion UI/UX designs built to capture attention and reflect your brand’s unique identity.

Website Development

Fast, responsive, and SEO-optimized websites engineered for performance, reliability, and smooth navigation.

Web Application Development

Scalable, full-stack web applications and SaaS products built with modern frameworks and robust backend architecture.

Full-Stack Web & SaaS

Scalable, modern web apps and high-performance websites engineered for speed, clean architecture, and seamless user experiences.

AI Voice Agents & Call Centers

Custom conversational voice agents deployed for call centers and enterprise workflows to handle inbound queries and automate routine calls.

RAG & Generative AI Bots

Specialized medical, financial, and domain-specific bots powered by vector databases, secure data retrieval, and fine-tuned LLMs.

Computer Vision & Shelf Auditing

Automated retail camera integrations that map products to shelves, track inventory compliance, and flag misplacements in real time.

Data Pipelines & Model Fine-Tuning

End-to-end data cleaning, custom model fine-tuning, and rigorous accuracy testing to turn raw data into reliable AI assets.

MCP Servers & Tool Integration

Connect Model Context Protocol (MCP) servers directly to Claude and custom environments to supercharge developer and operational workflows.

See What’s Possible

Real scenarios we’ve automated for teams like yours

A few real-world automation flows we’ve built, from the trigger to the outcome.

WebDesign

Website Design & Build

Inputs
Brand brief & content
Auto
Design → Build → Launch
Result
Modern site. Faster launch.
RetailWeb

Website Redesign

Inputs
Existing site & product catalog
Auto
Redesign → Rebuild → Migrate
Result
Cleaner UX. Higher conversions.
SportsWeb

Sports Club Website — Design & Development

Inputs
Team info, fixtures & media
Auto
Design → Build → Launch
Result
Fan-ready site. Easy updates.
RetailVision

Retail Shelf Auditing

Inputs
Store camera feed / image
Auto
Detect → Map → Verify compliance
Result
Accurate shelves. Instant alerts.
TravelAPI

Global Hotel & Restaurant Finder

Inputs
Destination & country query
Auto
Query APIs → Filter → Aggregate
Result
Best options. Instant discovery.
VoiceSupport

Call Center AI Voice Agent

Inputs
Inbound customer call
Auto
Transcribe → Resolve → Log
Result
Shorter queues. 24/7 support.
AIRAG

Medical & Financial RAG Bot

Inputs
Secure query / document
Auto
Retrieve vector → Synthesize → Answer
Result
Trusted insights. Secure data.
OpsWorkflow

n8n Cross-Platform Automation

Inputs
Trigger event (webhook/app)
Auto
Parse → Transform → Sync
Result
Zero manual sync. Seamless ops.
DevMCP

Claude MCP Server Integration

Inputs
Developer prompt / request
Auto
Query MCP → Execute → Return
Result
Faster workflows. Deep context.
How We Work

A process built for results

Clear milestones and constant communication — no guesswork, no black boxes.

Step 01

Discovery & Architecture

We map out your workflows, define technical requirements, and outline the exact data pipelines and API integrations needed.

Step 02

Rapid Prototyping & Setup

We configure foundational components — whether setting up custom web apps, vector stores, or voice agent nodes — for early testing.

Step 03

Rigorous Testing & QA

We test accuracy, run data-cleaning pipelines, verify security controls, and validate edge cases before production deployment.

Step 04

Launch, Monitor & Scale

We deploy your solution live, monitor system performance in real-time, and continuously fine-tune models and workflows.

Prefer to talk it through first?

9700760002
Built For Your Industry

We tailor to your data and workflow needs

Every industry has its own systems, compliance needs, and edge cases. Here’s where we typically start.

Retail & Supermarkets

Automated shelf camera tracking, inventory alignment, and instant alerts for misplaced stock.

Travel & Hospitality

Multi-country aggregator APIs linking users instantly to top-rated hotels, restaurants, and local experiences.

Call Centers & Support

Scalable AI voice agents deployed to handle inbound customer queries, triage tickets, and reduce queue times 24/7.

Healthcare

Secure, compliant RAG bots and document assistants designed for medical inquiries, patient intake, and internal scheduling.

Finance & Banking

Secure financial RAG bots, automated invoice extraction, and streamlined loan document processing with strict human-in-the-loop audit trails.

eCommerce

Keep orders, inventory, support tickets, and multi-platform catalogs completely in sync automatically.

Tech & SaaS

Full-stack SaaS platforms, automated lead-to-renewal workflows, and advanced MCP server integrations for developer productivity.

Proof & Credibility

Proven results

Real results from real engagements. We measure success by outcomes, not activity.

01 — Conversational AI Automation

AI Voice Agent Platform

AA AI Voice Agent
6-step
guided setup to a voice agent
No-code configuration & deployment.
Problem

Teams needed AI agents for calls, but setup meant manually stitching together providers, numbers, and billing.

Approach

A 6-step wizard covers identity, templates, voice previews, RAG knowledge, and direct phone provisioning.

Outcome

Teams launch a fully configured agent and track numbers, call logs, and billing in one workspace.

Read full case
02 — E-Commerce & Retail Operations

Multi-Vendor Catalog Sync & Enrichment

RT Retail Tech
3.2×
faster data turnaround
Automated ingestion & cleanup.
Problem

Catalog teams spent days manually formatting supplier data and syncing inventory across storefronts.

Approach

An automated pipeline parses, maps attributes, and validates feeds to clean data instantly.

Outcome

Manual data entry dropped sharply, letting teams push new collections live much faster.

Read full case
Our Stack

The tools and platforms we build with, every day.

AI & Models
OpenAI
Anthropic Claude
Groq
RAG
Gemma
Llama (Meta)
Engineering & Frontend
React
Next.js
JavaScript
Vercel
WordPress
Figma
Wix Studio
Framer
Automation & Backend
Node.js
Python
n8n
MCP Servers
AWS
Docker
Redis
Get Started

Let’s talk about your workflows

30 minutes to explore where automation could save your team the most time.

  • We identify the two or three highest-impact places to start.
  • No pressure, no obligation — just a clear picture of what’s possible.
  • You’ll leave with a rough scope and timeline either way.
9700760002 info@nsksofttech.in

Schedule a discovery call

Tell us about your goals — we’ll get back to you within one business day.

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Common Questions

Frequently asked questions

Everything teams usually ask before starting a project with us.

Most of our AI Voice Agent and n8n automation projects pay for themselves within two to four months once you factor in headcount avoided and after-hours coverage. Our AI Voice Agent Platform replaced a queue that previously needed dedicated call handlers around the clock with a 6-step guided setup — that’s the kind of before/after comparison we build into the proposal, not something we promise after the fact.
We route by task, not by preference. OpenAI and Claude handle reasoning-heavy work like RAG bots and document-grounded support; Groq’s low-latency inference powers real-time voice agents and call center flows where every millisecond of response time matters; and open models like Gemma or Llama come in when you need on-prem or cost-sensitive inference for high-volume, lower-complexity work. You’re never locked into a single vendor.
Yes. Our shelf-auditing computer vision pipeline and multi-vendor catalog sync tools are built to sit alongside your existing POS, ERP, or marketplace feeds rather than replace them — one catalog enrichment system we shipped improved sync accuracy 3.2x with no systems migration required. Integration scope is mapped during discovery, never assumed.
No. Every AI feature we build sits behind an abstraction layer, so swapping OpenAI for Claude, or a hosted model for a fine-tuned Llama or Gemma model, is a configuration change rather than a rebuild. It also means we can shift workloads to cheaper or faster models as they mature, without disrupting what’s already live.
MCP (Model Context Protocol) servers let an AI assistant safely call your internal tools — your CRM, your database, your internal APIs — with proper scoping, instead of brittle one-off integrations. The practical upshot for a CEO: your team can have an AI assistant actually take action inside your systems, not just answer questions about them, without handing over broad access to do it.
Your data stays in infrastructure you control, typically your own AWS environment, with credentials encrypted at rest and least-privilege access throughout. We don’t use client data to train foundation models — for fine-tuning or RAG pipelines, only the data you explicitly approve is used, and that’s documented as part of the handoff.
Yes — sizing the stack to the business is most of what we do. For a marketing site or smaller web app, WordPress, Wix Studio, or Framer usually gets you live faster and cheaper. When you need something that scales — a customer portal, a SaaS product, or real logic behind the scenes — we build in React, Next.js, and Node.js, containerize with Docker, and deploy on Vercel or AWS. The stack follows the need, never the other way around.
You do, fully. Source code, n8n workflows, MCP server configurations, and any fine-tuned model weights are handed over with documentation as part of every engagement, so there’s no dependency on us to keep things running.