Building the Future with Artificial Intelligence

We craft intelligent solutions that transform businesses. Specializing in machine learning, deep learning, and full-stack AI application development.

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0 Years Experience
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Technical Expertise

Leveraging cutting-edge technologies to build intelligent systems and scalable applications.

Machine Learning

Deep expertise in supervised and unsupervised learning, feature engineering, and model optimization.

Deep Learning

Building neural networks for computer vision, NLP, and generative AI applications.

NLP & LLMs

Natural language processing, sentiment analysis, and large language model fine-tuning.

Computer Vision

Image recognition, object detection, and video analysis using state-of-the-art models.

Full Stack Dev

End-to-end web application development with modern frameworks and cloud deployment.

MLOps & Cloud

Model deployment, monitoring, and scaling infrastructure for production AI systems.

Python
JavaScript
React
Docker
AWS
PostgreSQL
TensorFlow
PyTorch
Python
JavaScript
React
Docker
AWS
PostgreSQL
TensorFlow
PyTorch

Featured Projects

Explore my latest AI-powered applications and machine learning solutions.

AI Chatbot Assistant

An intelligent conversational AI powered by GPT-4 with custom knowledge base integration and sentiment analysis capabilities.

NLP OpenAI FastAPI

Image Recognition System

Real-time object detection and classification system using YOLO v8 with 95%+ accuracy for industrial quality control.

Computer Vision YOLO OpenCV

Predictive Analytics Dashboard

Business intelligence platform with ML-powered forecasting, anomaly detection, and interactive data visualization.

React D3.js Scikit-learn

Health AI Diagnostic Tool

Medical imaging analysis tool using deep learning to assist in early disease detection from X-rays and MRIs.

Deep Learning TensorFlow Healthcare

Website Scrapper

Automated web scraping tool that extracts structured data from websites using advanced parsing techniques.

Python BeautifulSoup Scrapy

Recommendation Engine

Personalized product recommendation system using collaborative filtering and content-based algorithms.

ML Redis PostgreSQL

Chat PDF

Interactive chat interface for querying and analyzing PDF documents.

Python React Node.js

Resume Scanner

An AI-powered tool for analyzing and scoring resumes against job descriptions.

Python React Node.js

Image to text

A tool for extracting text from images using optical character recognition (OCR).

Python React Node.js

TaxAI Pro — AI for Chartered Accountants

Automates ITR drafting, discovers missed deductions, flags GST anomalies, and predicts audit risk — giving CAs AI-powered analysis of any client's financials in seconds.

NLP Python FinTech AI

ClaimIQ AI — AI for Insurance

Triages claims in 2.3 seconds, scores fraud probability using multi-signal ML models, recommends fair settlements, and automates underwriting decisions — end-to-end.

ML Fraud Detection NLP

LexAI — AI for Lawyers

Reviews contracts in seconds, flags risky clauses with redline suggestions, predicts litigation outcomes from 10,000+ precedents, and automates legal research and due diligence.

LLM NLP LegalTech

Before You Invest in AI — Know Your Numbers

Most businesses that fail with AI don't fail because of bad technology — they fail because they never ran the numbers. Deploying AI without a clear cost-benefit analysis is like hiring staff without checking if you can afford payroll. Our free AI Cost Benefit Calculator gives you a data-backed picture of your potential ROI, payback period, and break-even point before you commit a single dollar.

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Hidden Implementation Costs Integration, retraining, and maintenance often exceed licensing fees by 3×.
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Productivity Dip Before Gains Teams take 3–6 months to adapt. Understand the gap before it hits revenue.
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Wrong Use Case Selection Not every process benefits from AI. Know which ones actually move the needle.
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Quantify the Opportunity See the time saved, errors reduced, and revenue unlocked — in real figures.
67% of AI projects fail to scale
3.5× avg ROI when planned right
5 min to get your full report
Calculate My AI ROI — It's Free

No sign-up required. Instant results. Built for business owners & decision-makers.

Below numbers are sample indicative output — your numbers will vary based on your inputs.

Estimated Annual Savings
$124,800 / yr
Implementation Cost
$28,500 one-time
Payback Period
2.7 months
5-Year Net ROI
+$595,500

Why Your Business Needs a Own Custom AI Solution — Not Just Tools Like ChatGPT, Claude, Gemini, or Copilot

Every time you type a prompt into a public AI tool, you are handing confidential business data to a third-party server in another country. Here is what that actually means — and what you lose by not owning your AI.

Your confidential data is being read, logged, and potentially used to train AI models right now.
OpenAI's Terms of Service: "We may use Content from Services other than our API to help develop and improve our services."  |  Google Gemini: "Human reviewers may read, annotate and process your conversations."  |  Microsoft Copilot: conversations stored for up to 30 days by default.
Your Conversations Are Logged

Every prompt you send — including client names, financials, contracts, and strategies — is stored on external servers. OpenAI retains conversation history indefinitely unless you manually delete it. Employees frequently forget to opt out.

Samsung leak · March 2023
Data Trains Their Models

Your proprietary workflows, product plans, and customer insights may be used to improve the very model your competitors also use. You are essentially donating your business intelligence to a public commons.

Amazon internal memo · Jan 2023
Human Reviewers Read Chats

Google, OpenAI, and Anthropic all employ human reviewers who can access conversations for "safety and quality" purposes. Your M&A details, HR discussions, or patient notes can be read by a contractor in any country.

Italy GDPR ban · March 2023
Zero Business Context

Public tools know nothing about your clients, your products, your tone of voice, or your processes. Every session starts from zero. Your team wastes hours re-explaining context — and still gets generic, hallucinated answers.

Goldman Sachs incident · 2023

Documented Real-World Incidents

These are not theoretical risks. They have already happened to major organisations.

Critical Data Leak
Samsung Semiconductor — March 2023
Three separate engineers accidentally leaked proprietary semiconductor source code, internal meeting notes, and NAND flash performance data into ChatGPT within 20 days of the company permitting its use. Samsung subsequently issued a global ban on generative AI tools on corporate networks. The leaked code could have given competitors months of R&D advantage.
Internal Warning Issued
Amazon — January 2023
Amazon's legal team circulated an internal memo warning employees never to share confidential information with Claude (Anthropic's AI) after an employee entered internal Amazon code into ChatGPT. Amazon is a major investor in Anthropic — yet still restricted usage because even they cannot fully control what happens to data sent to third-party AI systems.
Nationwide Regulatory Ban
Italy's Data Protection Authority (Garante) — March 2023
Italy became the first Western country to ban ChatGPT nationwide, citing GDPR violations: unlawful collection of user data with no legal basis, age verification failures, and lack of transparency. OpenAI was forced to implement data controls and a formal opt-out mechanism before the ban was lifted. The episode highlighted that any business in a regulated jurisdiction faces real legal exposure.
Platform Data Breach
OpenAI Redis Bug — March 2023
A Redis client library bug exposed conversation titles, the first message of active chats, and partial payment information (last 4 card digits, expiry, billing email) of ~1.2% of ChatGPT Plus subscribers. OpenAI took 9 hours to detect and patch the issue. Affected users saw other users' conversation titles in their history sidebar. This demonstrates that even the platform infrastructure itself is a risk surface.
HIPAA Compliance Risk
US Hospitals & Healthcare Providers — 2023–2024
The American Hospital Association formally warned member hospitals that entering any patient data — including diagnoses, prescriptions, or treatment plans — into public AI tools constitutes a HIPAA violation. Fines range from $100 to $50,000 per incident. Several healthcare workers have since been disciplined for entering patient information into ChatGPT to generate clinical notes, unaware that this breached federal law.
Confidential M&A Data Exposed
Goldman Sachs — 2023
A Goldman Sachs banker entered confidential merger and acquisition details into ChatGPT while drafting a client document. The incident triggered an internal review. Goldman subsequently restricted employee access to external AI tools and began developing proprietary internal AI systems — the exact model IntelliWeb AI builds for clients. The lesson: when stakes are high, you need AI that never leaks.

Public AI Tools vs. Your Own AI Website

Public AI Tools
ChatGPT · Claude · Gemini · Copilot · Grok · Perplexity
Data leaves your premises. Every prompt is sent to and stored on external servers in the US, EU, or elsewhere.
Conversations may train future models. Your proprietary knowledge fuels their product — and your competitors benefit.
Human reviewers can access your chats. Contractors review flagged or random conversations for "quality assurance."
No business context. Re-explain your company, clients, and processes every single session.
Compliance risk. GDPR, HIPAA, DPDP Act 2023 breaches possible with every sensitive query.
Their branding, their UX. No integration with your CRM, ERP, or databases. Manual copy-paste workflows.
Per-seat subscription costs. $20–$30/user/month. 50-person team = $18,000/year for a generic tool.
No audit trail. Cannot prove what was asked or answered in case of disputes or audits.
Platform outages affect your work. ChatGPT was down 11 times in 2023 for hours at a stretch. No SLA for your business.
Your Own AI Website
Built by IntelliWeb AI — tailored to your business
Data stays in your environment. Hosted on your servers or your private cloud. Zero third-party data access.
Your data never trains anyone else's model. API access to LLMs is stateless — prompts are not used for training.
Full access control. You decide who sees what. Role-based permissions, SSO, and audit logs are standard.
AI trained on your business context. Your products, clients, SOPs, tone of voice — baked in from day one.
Built-in compliance. GDPR, HIPAA, DPDP-ready architecture with data residency, retention policies, and DPA.
Seamless system integration. Live connection to your CRM, ERP, database, or document store — real answers, not guesses.
Fixed infrastructure cost. Pay once to build; marginal API cost per query. No per-seat subscription that scales with headcount.
Complete audit trail. Every query, every response, every user — logged, searchable, exportable for compliance.
Your SLA, your uptime. Deploy on infrastructure you control. No dependency on OpenAI's servers or their outage schedule.

What You Actually Get With Your Own AI

End-to-End Data Sovereignty

Your data never crosses into a third-party system. We deploy AI using API access to leading LLMs (Claude, GPT-4, Gemini) where prompts are contractually non-retrained — combined with your own vector database and knowledge base hosted in your environment.

Real example: A CA firm's client financials never leave their Mumbai server
AI That Knows Your Business

Using Retrieval-Augmented Generation (RAG), your AI is connected to your actual documents, product catalogues, SOPs, and client history. It answers with specifics — not generic responses padded with disclaimers. Accuracy improves from ~60% (generic) to 90%+ (contextualised).

Real example: A law firm's AI cites only their own case files and jurisdiction
Compliance by Design

We architect for GDPR, HIPAA, DPDP Act 2023, ISO 27001, and SOC 2 from the ground up. Data residency, retention schedules, right-to-erasure, and a signed DPA (Data Processing Agreement) are built in — not patched on afterwards.

Real example: A hospital's AI assistant that is 100% HIPAA-compliant
Live System Integration

Your AI connects directly to Salesforce, SAP, Tally, Zoho, custom databases, or any REST/GraphQL API. It doesn't just answer questions — it takes actions: raising invoices, updating CRM records, sending alerts, and generating reports from live data.

Real example: Insurance AI that pulls claim status live from core policy system
Your Brand. Your Experience.

Customers interact with your AI, not OpenAI's. Your logo, your colour scheme, your tone, your domain. This builds trust, drives engagement, and becomes a competitive moat that generic tools cannot replicate. No "Powered by ChatGPT" diluting your brand.

Real example: A retail bank's AI assistant that feels like part of their app
Analytics & Continuous Improvement

Every interaction generates insight: what your users ask most, where the AI fails, which topics need better documentation. Your AI gets smarter every month through feedback loops — whereas public tools reset to the same baseline for every user.

Real example: E-commerce AI that improved conversion 34% through query analysis
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of Fortune 500 firms have restricted or banned public AI tool usage for confidential work
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average GDPR fine per data breach incident across EU enforcement actions (2023–2024)
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higher AI accuracy when context-trained on business-specific knowledge vs generic model
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of employees admit to entering sensitive work data into public AI tools (IBM study 2024)
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Stop handing your business intelligence to Big Tech.

IntelliWeb AI builds secure, context-aware AI systems that stay inside your business — giving you all the power of modern AI without any of the data risk.

Let's Connect

Have a project in mind? Let's discuss how AI can transform your business.

Contact Information

Phone

+91 9653 124 731

Location

Based in India • Serving Clients Globally

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