Core Service

AI Integration

Turn AI buzzwords into actual business ROI.

We develop custom AI integrations and Large Language Model (LLM) agents that automate complex workflows and extract hidden insights from your proprietary data.

AI Integration

The Business Problem

Artificial Intelligence is useless if it isn't solving a specific business problem. Many companies struggle to move past generic ChatGPT prompts into actual workflow automation. As a specialized AI integration services company, we help businesses implement Custom LLMs, Retrieval-Augmented Generation (RAG) systems, and AI Agents. Whether you need an intelligent chatbot trained on your company's PDFs to automate customer support, or an AI workflow that drafts proposals based on historical CRM data, we build secure, hallucination-resistant AI systems.

Who This Is For

Industry-specific ai integration solutions we build.

Legal & Compliance

AI assistants summarizing hundreds of pages of legal contracts instantly.

Customer Service

AI chatbots trained on historical Zendesk tickets for automated resolution.

Marketing & Agencies

Programmatic SEO and personalized content generation pipelines at scale.

Healthcare

AI extraction of medical data for streamlined patient intake forms.

Core Capabilities

The technical foundations of our AI Integration service.

Custom LLM & RAG Systems

Connecting OpenAI (GPT-4) or Anthropic (Claude) securely to your private databases.

Autonomous AI Agents

Systems that don't just chat, but execute actions via API integrations.

Intelligent Customer Support

Context-aware chatbots that resolve 80% of Tier 1 support tickets instantly.

Unstructured Data Extraction

Using AI to parse PDFs, emails, and receipts into structured database formats.

Our Technology Stack

Enterprise-grade tools we use for ai integration.

AI Models

  • OpenAI (GPT-4o)
  • Anthropic (Claude 3.5)
  • Llama 3

AI Frameworks

  • LangChain
  • LlamaIndex
  • Vercel AI SDK

Vector Databases

  • Pinecone
  • Supabase pgvector
  • Weaviate

Integration Infrastructure

  • Node.js
  • Python Fast API
  • Next.js

Specialized Solutions

Targeted AI Integration expertise for specific business needs.

Custom LLM Integration
AI Chatbot Development
AI Workflow Automation
RAG System Development

Cost & Timeline Expectations

Transparent estimates for ai integration projects.

AI Chatbot / RAG System

An AI assistant securely trained on your company's documents or knowledge base.

3 - 6 Weeks
From ₹2,00,000

Complex AI Agent Workflow

Autonomous agents that can trigger actions (send emails, update CRMs) based on logic.

8 - 12 Weeks
From ₹6,00,000

Custom vs Off-the-Shelf

Why businesses choose custom ai integration.

Key FeatureCustom DevelopmentOff-the-Shelf Software
AccuracyRAG Systems: Highly accurate, relies only on your data.ChatGPT: Guesses information, prone to hallucinations.
ActionabilityAI Agents: Can execute API tasks automatically.Basic AI: Can only generate text.
SecurityEnterprise APIs: Zero data training retention.Public AI: May ingest your proprietary data.

Business Impact

Massive Cost Reduction

Automate repetitive, low-value manual tasks, drastically reducing operational overhead.

24/7 Availability

Provide instant, highly-accurate customer support at any time of day.

Unlock Unstructured Data

Turn thousands of chaotic PDFs and emails into actionable, structured insights.

Our Process

Phase 01

Data Readiness Audit

Assessing your current data silos and preparing them for vectorization.

Phase 02

Prompt Engineering & RAG Setup

Building the pipeline that feeds your specific context to the LLM.

Phase 03

Testing & Red Teaming

Aggressively testing the AI to ensure it never hallucinates or leaks data.

Frequently Asked Questions

Is our proprietary company data safe when using AI?
Yes. We strictly utilize enterprise API endpoints (like OpenAI's API or Azure OpenAI), which guarantee zero data retention. Your proprietary data is never used to train public models.
What is RAG (Retrieval-Augmented Generation)?
RAG is a technique where we connect an AI model to your specific documents or database. Instead of guessing, the AI searches your private knowledge base first, drastically reducing 'hallucinations' and providing highly accurate, contextual answers.
How long does it take to implement a custom AI workflow?
Depending on the state of your data, an internal AI chatbot or workflow automation MVP can be deployed in as little as 3 to 6 weeks.

Let's Build Something Powerful Together

Ready to scale your business with custom software? Connect with our engineering team today to discuss your next big project.

Start Your Project