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BI and Analytics

AI Solution Development

At Intellisqr, we don’t just theorize AI—we build and deploy it. Our AI solutions are customized, measurable, and built to deliver value. Whether you're starting your AI journey or scaling existing initiatives, we provide full-spectrum services to accelerate your goals.

We leverage our proven framework – IntelliAI for expediting use case development. It utilizes technologies like OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow, FastAPI, Docker, Kubernetes, Pinecone, and more.

Our flexible deployment options include cloud platforms like AWS, Azure, and GCP, as well as onsite deployments, ensuring the solution aligns with your organization’s priorities.

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Interested in learning more about our service offerings

AI Consulting

We help businesses identify where AI can bring the most value. Our consultants assess data readiness, select appropriate use cases, evaluate risks, and define actionable implementation roadmaps.

We assist with solution architecture, cloud infrastructure planning, and vendor/tool selection—whether you're evaluating OpenAI, Azure Cognitive Services, Yolo or any other open source LLMs and Vision models. We can help you develop a design pattern to deliver your specific use case.

Modern Data Stack

Typical Activities Include

  • AI use Case Identification
  • AI readiness assessment
  • Use case prioritization
  • Architecture and Technology stack recommendations
  • Design Patterns Specific to use cases

Custom AI Applications

We develop bespoke AI-powered applications tailored to unique challenges, workflows, customer experiences, or operations. These applications integrate seamlessly with your existing platforms and tools. This may include using and finetuning one or more LLMs, building the entire LLM pipeline (Could include Data Pipeline, Embeddings, RAG, Agents, functions) or developing an applications wrapper (Web or Mobile App) using web development stack and cutting-edge frameworks (NodeJS, React, NeXTs, Flask, DJango).

We work with both proprietary (OpenAI, Gemini, Claude) and Open Source LLMs to build the application with accuracy and performance requirements in mind.

Modern Data Stack

Use Cases We Have Delivered

  • Marketing Event Tracking and Optimization
  • Automated Report Builder
  • Document Insights Generation
  • Inventory Tracking and Re-order Application

Generative AI Services

We help you harness the power of generative AI models like GPT, DALL·E, or custom-trained transformers to generate content, automate creative processes, or assist in coding and documentation. Whether you want to build a web Interface or Mobile App for a creative use case, our developers can build end to end solution to bring your vision to reality.

Modern Data Stack

Capabilities Include

Building Custom Generative AI solution

  • Content generation (text, image, code)
  • Email and report drafting
  • Marketing copy generation
  • Product description automation

Transformer Model Training and Fine Tuning

We train and finetune transformer-based models for advanced natural language understanding and generation. We fine-tune models like BERT, RoBERTa, and T5 on domain-specific datasets for optimal results.

Modern Data Stack

Applications Include

  • Automated report building (Text to SQL)
  • Custom Q&A systems
  • Document summarization Use Cases
  • Semantic search
  • Language classification & tagging

LLM and Text Analytics Solutions

We build solutions that leverage Large Language Models (LLMs) to extract insights from vast amounts of unstructured text. Our solutions turn documents, emails, and chat logs into structured, actionable intelligence.

Modern Data Stack

Solutions Include

  • Chatbots
  • Named Entity Recognition (NER)
  • Sentiment & intent analysis
  • Topic detection and classification
  • Smart tagging and metadata generation

Generative AI Chatbots

We develop enterprise-grade conversational agents that provide natural and contextual interactions. These bots go beyond scripts—leveraging LLMs and custom logic to handle nuanced user queries.

Modern Data Stack

Deployment Options

  • Customer support chatbots
  • Internal IT/helpdesk bots
  • Guided user onboarding bots
  • Voice-enabled virtual assistants

AI Agents

We build autonomous agents that can perform tasks like document processing, form filling, and system interactions based on goals and prompts. These agents can reason, plan, and execute actions with minimal supervision. We use cutting edge frameworks like CrewAI to build multiagent workflow.

We can help you identify the agents required for an use case, help you with structuring the flow, integrate with your systems, identify LLMs and build prompts to develop these agents.

Modern Data Stack

Sample Use Cases

  • HR support Agents
  • Email Marketing Agents
  • Inventory Management Agents
  • Workflow Automation Agents

Generative AI Reporting Solution

At Intellisqr, we've developed a powerful Generative AI Reporting Solution that transforms how business users interact with data—no SQL, no dashboards, just plain language. Our system enables users to generate dynamic, insightful reports simply by asking questions like, "Show me sales trends for the North region in Q1" or "Compare customer churn across segments over the last six months." Behind the scenes, our solution uses advanced LLMs integrated with semantic layers, mapping natural language to your enterprise data models with precision.


We combine LLM orchestration frameworks like LangChain with embedding models and metadata tagging to understand user intent, convert it into optimized queries, and retrieve data from sources such as SQL/NoSQL databases, cloud data warehouses (e.g., BigQuery, Snowflake), and APIs. The results are dynamically compiled into narrative reports, charts, or dashboards, all through a simple interface—web, chat, or voice.

Our platform also supports contextual query refinement, multi-turn dialogue, access control, and guardrails to ensure factual correctness and compliance with data governance policies. We've deployed this solution for clients in financial services, manufacturing, and operations, reducing report turnaround time from days to seconds while empowering non-technical users with instant data insights.

AI-Driven Process Automation

Whether it is automating your customer support and engagement or sales and Marketing or HR Employee onboarding, we can help with it all. We have expertise in understanding your current process and transforming components of it using appropriate AI models. Our AI implementation framework (IntelliAI) helps us expedite development of interactions with our structure and unstructured data.

What distinguishes us is our understanding of what should be automated, to what extent and how. Our developer creates the best Design Pattern to keep in mind your accuracy requirements – Whether it needs validation by agents or Human-in-the-loop approach.

Modern Data Stack

Sample Use Cases Include

  • Automating Customer Interaction
  • Automated claims assessment
  • Invoice processing and matching
  • Smart email classification and routing
  • Appointment Scheduling Automation
  • Sales Pre-order Automation

Search and Knowledge Management System

We build intelligent search System powered by NLP and semantic search, helping teams find answers fast from the vast amount of Enterprise Documents. Combined with vector search and RAG (retrieval-augmented generation), these systems bring contextually accurate responses. Bring all the information knowledge on a single platform and empower you employees, partners, vendors to leverage the information to put the best foot forward.

Modern Data Stack

Solutions Include

  • Enterprise knowledge bases
  • Entity Extraction for Metadata enhancements
  • Domain-specific search (legal, medical, financial)
  • Smart document Q&A tools
  • Facetted and Contextual Search

IntelliAI Platform

IntelliAI is our proprietary framework that speeds up the development of AI applications. It uses a modular structure with a strong data ingestion layer, a flexible AI development layer, and an easy-to-use interaction/output layer—all built for quick prototyping and scalable deployment. IntelliAI supports open-source LLMs and easily connects to top models like OpenAI, Anthropic, and Cohere. It includes built-in guardrails, monitoring tools, and enterprise connectors to ensure secure and compliant AI solutions. Whether you're building a chatbot, automation tool, or AI dashboard, IntelliAI helps you go from idea to delivery faster.
IntelliAI Process

AI Solution Development Process

At Intellisqr, our AI solution development process is grounded in real-world execution and agile delivery. We start with a deep dive into your business goals and data ecosystem to identify high-impact AI opportunities. Our team then prototypes solutions using tools like PyTorch, TensorFlow, and scikit-learn, validating them with real data before scaling.
We follow an iterative approach—starting with model design and training, followed by API development, integration with your applications (via FastAPI, Flask, or Node.js), and deployment on cloud platforms like AWS, Azure, or GCP. Every solution is monitored, optimized, and aligned with enterprise-grade security and scalability standards. From concept to production, we build AI that works in your world.
AI Solution Development Process

Why Intellisqr for AI Solution Development

  • Proven Experience in building and deploying AI solutions across industries like manufacturing, finance, retail, insurance, and the public sector

  • Expertise Across AI Domains, including Generative AI, Vision AI, NLP, LLMs, Transformer Models, AI Agents, and Process Automation

  • Accelerated Development through our proprietary IntelliAI platform—featuring hosted LLMs, reusable modules, and built-in guardrails

  • Tech Stack Agnostic: Skilled with OpenAI, Hugging Face, LangChain, TensorFlow, PyTorch, FastAPI, Docker, and more

  • Expert AI Developers – We have some of the brightest minds in the Industry to help you deliver successful projects.

  • We offer a complete package from ideation and prototyping to model development, API deployment, and cloud integration.

Case Studies

Streamline grant allocation and Maximize Service Delivery

Streamline grant allocation and Maximize Service Delivery

"The lack of integrated data was preventing impactful analysis and decision-making. Intellisqr is helping this non-profit integrate data from 130 countries. The solution will help with more efficient distribution of grant and maximize service delivery."

Automate document Processing using AI

Automate document Processing using AI

"A leading central government department was struggling to utilize unstructured documents for search. Intellisqr, through the proof of concept, demonstrated how manual metadata extraction could be automated and expedited through AI and Machine Learning Solutions, resulting in significant time-saving."

Driving Aggressive Subscriber Growth

Driving Aggressive Subscriber Growth

"Through a robust first-party data collection framework and customer journey analytics, this US-based start is all set to understand its customers better and continuously tweak its marketing strategy to drive maximum impact."

Improve Marketing ROI by 12%

Improve Marketing ROI by 12%

"From measuring the marketing impact to identifying avenues for improved marketing strategy, Intellisqr was able to help this real estate giant leverage analytics to optimize its marketing investment and drive meaningful engagement with marketing agencies."

Request Free POC (Limited Time Offer )

Analytics always seem like an impossible goal till you actually see it applied on your data.

Do you have an analytics use case in mind? Request for a free POC

  • Embark on the journey of data-driven decision making
  • Leverage the power of ML and AI
  • Understand the feasibility of the ML/AI use case by applying it on your data
  • No strings attached !
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Why IntelliSQR ?

  • 25 plus years of experience of helping customers with cutting edge Analytics
  • Worked with some of the largest customers in India and Abroad
  • Cheapest implementation cost through Innovative solutioning
  • A highly qualified team with skillsets in PowerBI, Tableau, Python, Snowflake, SAS, Teradata, Azure, Google cloud.
  • Strong combiation of Business Domain and Technology Knowhow
Why IntelliSQR