Generative AI &
LLM Integration
Build powerful, domain-specific AI solutions with fine-tuned models, RAG architectures, and cost-optimized infrastructure.
Core Capabilities
Comprehensive AI engineering services tailored to your enterprise needs.
Custom Model Fine-Tuning
Optimize pre-trained models for your specific use case with domain-specific data.
- Domain Adaptation
- Hyperparameter Optimization
- Performance Benchmarking
Small Language Models (SLMs)
Efficient, lightweight models tailored for specific tasks, reducing latency and cost.
- Edge Deployment
- Low Latency
- Cost Efficient
RAG Systems
Retrieval-Augmented Generation for accurate, context-aware responses.
- Vector Search
- Knowledge Graph
- Real-time Updates
Voice AI Agents
Natural, conversational voice interfaces powered by advanced speech synthesis.
- Speech-to-Text
- Text-to-Speech
- Voice Cloning
Token Cost Optimization
Strategic approaches to minimize costs while maximizing quality.
Model Selection
Use smaller, specialized models for simple tasks instead of large general-purpose models.
Token Efficiency
Optimize prompts and responses to minimize token usage without quality loss.
Caching Strategy
Implement intelligent caching for repeated queries and common patterns.
Batch Processing
Group similar requests for efficient processing and reduced API calls.
Right Model for Right Use Case
Our intelligent model selection ensures you're not overpaying for capabilities you don't need. We analyze your use case and match it with the most cost-effective model that meets your performance requirements—whether that's GPT-4 for complex reasoning, GPT-3.5 for general tasks, or custom small models for specialized operations.
Voice AI Solutions
Advanced speech technology with natural language understanding.
Speech Recognition
- 95%+ Accuracy
- 50+ Languages
Voice Synthesis
- Natural Prosody
- Emotion Control
Voice Cloning
- Few-shot Learning
- Voice Matching
Voice Analytics
- Sentiment Analysis
- Intent Detection
Industry Applications
Real-world implementations across sectors.
Healthcare
Medical diagnosis assistant with fine-tuned models on clinical data.
BioBERTFinance
Risk assessment and fraud detection with specialized small models.
Custom EmbeddingsE-commerce
Product recommendations and customer support with cost-optimized LLMs.
Fine-tuned GPT-3.5Education
Personalized learning assistants with voice AI and adaptive models.
Adaptive ModelsLegal
Document analysis and contract review with domain-specific models.
Legal BERTCustomer Service
Multi-lingual voice bots with real-time translation and sentiment analysis.
Translation ModelsSystem Architecture
Robust, scalable, and secure AI infrastructure design.
Implementation Process
From concept to production in four strategic steps.
Discovery
We analyze your data and requirements to select the optimal model architecture.
Data Prep
Cleaning, formatting, and augmenting data for high-quality training sets.
Fine-Tuning
Training models on your specific domain data using advanced techniques.
Deployment
Scalable deployment with monitoring, caching, and continuous optimization.
Ready to Transform Your Business?
Let's build a custom AI solution that drives real value for your organization.
Start Your ProjectWhy Choose Iedeo as Your Custom AI Development Company in India
India has rapidly emerged as a global hub for artificial intelligence engineering, and Iedeo stands at the forefront of this transformation. As a custom AI development company in India, we combine deep technical expertise in large language models, retrieval-augmented generation, and autonomous agents with a cost structure that makes enterprise-grade AI accessible to businesses of every size. Our engineering team, based in Chennai, delivers production-ready AI systems for clients across the United States, United Kingdom, UAE, and Singapore — typically at 60 to 70 percent lower cost than comparable firms in North America or Western Europe (Source: NASSCOM India Tech Report). For context, a full-stack AI engineer in the US commands an average annual salary of $180,000 to $250,000, while equally skilled engineers in India operate at $40,000 to $70,000 — savings that translate directly into your project budget without sacrificing quality.
LLM Fine-Tuning and RAG System Development
Our LLM fine-tuning services in India cover the entire model lifecycle — from data curation and preprocessing through hyperparameter optimization to deployment and monitoring. We work with leading foundation models including GPT-4, Llama 3, Mistral, and Claude, adapting them to your domain-specific vocabulary, compliance requirements, and performance targets. A typical fine-tuning engagement runs 4 to 8 weeks and starts from approximately 3 to 6 lakhs INR for straightforward use cases, scaling up to 15 to 50 lakhs for complex enterprise deployments. Compared to US-based AI consulting firms that charge $150,000 to $500,000 for similar scopes, offshore AI development through Iedeo delivers the same outcomes at a fraction of the investment. Our RAG system development in Chennai is particularly sought after by enterprises dealing with large internal knowledge bases. We architect vector search pipelines using Pinecone, Weaviate, and pgvector, combined with intelligent chunking strategies and semantic routing, to ensure your AI retrieves accurate, up-to-date information every time — eliminating the hallucination problem that plagues generic LLM deployments.
AI Consulting and Automation Solutions
Beyond model development, Iedeo operates as a full-service AI consulting company in India, helping organisations identify high-impact automation opportunities before writing a single line of code. Our discovery workshops evaluate your existing workflows, data maturity, and integration landscape to produce a prioritised AI roadmap with clear ROI projections. Businesses that hire AI developers in India through our dedicated team model gain access to machine learning engineers, data scientists, MLOps specialists, and solution architects who work as an extension of your in-house team. Our AI automation solutions in Chennai have helped clients reduce manual document processing time by up to 85 percent (Source: Iedeo internal project data, 2024-2025), cut customer support costs by 40 percent through intelligent chatbot deployments, and accelerate lead qualification cycles from days to minutes using autonomous AI agents.
Enterprise AI Costs and the Offshore Advantage
Understanding enterprise AI costs in India is straightforward with Iedeo's transparent, milestone-based pricing. A basic LLM-powered chatbot integration typically ranges from 3 to 6 lakhs INR, a production RAG system with vector search and knowledge graph integration falls between 10 to 25 lakhs, and a fully autonomous multi-agent platform with CRM integration, voice AI, and analytics dashboards ranges from 25 to 50 lakhs. These figures represent 60 to 70 percent savings over equivalent projects quoted by firms in the US or UK, where similar engagements routinely exceed $100,000 to $400,000. Offshore AI development with Iedeo includes weekly sprint demos, timezone-aligned standups for US and European clients, comprehensive IP protection through NDA-backed contracts, and production-grade code with full documentation. Our average project delivery timeline is 8 to 16 weeks from kickoff to production deployment, with a 99.9 percent uptime SLA on all managed AI infrastructure. Whether you need to fine-tune a model, build a RAG pipeline, or deploy voice AI agents, Iedeo provides the technical depth and cost efficiency that make India the smartest choice for enterprise AI investment.