Leading Generative AI Development Company — India & USA

Generative AI Development Services In India

Custom LLM fine-tuning, RAG pipelines, AI copilots, and enterprise generative AI solutions, built by 100+ AI specialists who've been doing this since before it was a trend.

Start Your GenAI Project → Explore Services
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Custom LLM Fine-Tuning Domain-specific language models trained on your proprietary data
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RAG Pipeline Development Accurate knowledge retrieval for enterprise AI applications
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AI Copilot & Assistant Development Intelligent productivity tools for every business function
8+
Years Building AI Systems in Production
50+
Generative AI Projects Delivered
100+
AI Engineers & LLM Specialists
40+
Enterprise Clients — India & USA
Trusted by
Our Generative AI Services

End-to-End Generative AI Development Services for Enterprise Growth

Every generative AI service we offer is designed to move from proof-of-concept to production — delivering measurable ROI, not just impressive demos.

Custom LLM Fine-Tuning Services

Off-the-shelf LLMs know the world — but they don't know your business, your customers, or your industry's specialized language. Our LLM fine-tuning service trains foundation models on your proprietary data, producing a domain-specific model that speaks your language, respects your compliance requirements, and outperforms general-purpose models on your specific tasks.

We work with open-source and commercial models using LoRA, QLoRA, and full fine-tuning approaches, selecting the most compute-efficient strategy for your use case and budget.

Domain-specific fine-tuning on proprietary enterprise data
Instruction tuning for task-specific model behavior
RLHF alignment for safety, accuracy, and brand tone
Efficient LoRA/QLoRA for cost-effective fine-tuning
Model evaluation, benchmarking & red-teaming
Fine-Tune Your LLM →

Technology Stack

LLaMA 3 Mistral GPT-4o Falcon Phi-3 LoRA / QLoRA HuggingFace PEFT Axolotl vLLM RLHF Pipelines DeepSpeed

RAG Pipeline Development

Retrieval-Augmented Generation (RAG) is the difference between an AI that hallucinates and one that answers accurately from your actual knowledge base. We design and build production-grade RAG pipelines that connect your LLM to your internal documents, databases, APIs, and data lakes — delivering grounded, cited, trustworthy responses.

Document ingestion, chunking & embedding pipelines
Hybrid search (semantic + keyword) for maximum recall
Re-ranking & context compression for accuracy
Multi-source retrieval across databases, APIs & documents
Citation tracking and source attribution
Build Your RAG System →

Technology Stack

LangChain LlamaIndex Pinecone Weaviate Qdrant FAISS OpenAI Embeddings Cohere Rerank pgvector Redis Vector

AI Copilot Development

AI copilots are the new productivity layer for every business function — legal, finance, HR, sales, engineering, and customer success. We build custom AI copilots that integrate directly into your existing workflows and tools, surfacing intelligent suggestions, automating drafts, and answering questions in real time — while keeping humans in control.

Function-specific copilots: legal, finance, HR, sales, devops
Integration with Slack, Teams, Notion, CRM & ERP tools
Context-aware suggestions based on user workflow state
Role-based access control & data privacy guardrails
Usage analytics & continuous improvement feedback loops
Build Your AI Copilot →

Technology Stack

GPT-4o Claude 3.5 Semantic Kernel LangChain OpenAI Assistants API Slack / Teams SDK LangSmith HumanLoop

Generative AI Chatbot & Virtual Assistant Development

We build enterprise-grade AI chatbots development services powered by generative AI — not rigid decision trees. These systems hold multi-turn conversations, understand nuanced intent, access live data via RAG, and escalate intelligently to human agents when needed. Deployed across web, mobile, WhatsApp, and voice channels.

Multi-turn conversational AI with persistent memory
RAG-powered responses grounded in your knowledge base
Multilingual support across 12+ languages
Seamless CRM, helpdesk & ticketing system integration
Voice AI integration via speech-to-text & text-to-speech
Build Your AI Chatbot →

Technology Stack

GPT-4o Claude 3.5 LangChain Rasa Twilio WhatsApp API Whisper STT ElevenLabs TTS Chroma

Content Intelligence & Generation Platforms

We build AI-powered content systems that generate, personalize, and optimize content at scale — from product descriptions and marketing copy to technical documentation and customer communications — all on-brand, all grounded in your content guidelines.

Brand-voice-trained content generation engines
Personalized content at scale for marketing & e-commerce
Automated document drafting for legal, HR & finance
SEO-optimized content workflows with human review gates
Multi-language content localization & translation
Explore Content AI →

Technology Stack

GPT-4o Claude 3.5 LLaMA 3 Fine-Tuned LangChain LlamaIndex Guardrails AI FAISS DeepL API

Multimodal AI Development

Beyond text — we build generative AI systems that process and generate across text, images, audio, and structured data simultaneously. Multimodal AI unlocks entirely new product capabilities: visual document understanding, AI-powered image analysis, audio transcription with semantic search, and more.

Visual document understanding & extraction (PDFs, invoices, forms)
Image-to-text analysis for product catalogues & media
Audio transcription, summarization & semantic search
AI-powered video understanding & highlight extraction
Combined vision + language reasoning for inspection systems
Build Multimodal AI →

Technology Stack

GPT-4o Vision Gemini Pro Vision Claude 3 Haiku Whisper DALL·E 3 Stable Diffusion LlamaIndex Multimodal AWS Textract

Generative AI Strategy & Consulting

Not sure where to start with generative AI, which use cases to prioritize, or how to build a business case for leadership? Our generative AI consulting service helps you cut through the noise — identifying the highest-ROI opportunities in your business and building a practical, phased implementation plan you can actually execute.

Generative AI readiness assessment across your organization
Use case prioritization with ROI modeling & effort scoring
Build vs. buy vs. fine-tune decision framework
AI governance, data privacy & compliance strategy
Phased implementation roadmap with KPIs & milestones
Book a Strategy Session →

Deliverables You Get

GenAI Opportunity Map ROI Business Case Implementation Roadmap Governance Framework Data & Privacy Strategy Vendor Evaluation Report KPI Dashboard Design

Generative AI Integration Services

Already using enterprise software? We integrate generative AI capabilities directly into your existing tech stack — CRMs, ERPs, knowledge management tools, communication platforms, and custom applications — so your teams get AI superpowers without changing the tools they already use.

CRM AI integration (Salesforce, HubSpot, Zoho)
ERP AI integration (SAP, Oracle, Microsoft Dynamics)
Collaboration tool AI (Slack, Teams, Notion, Confluence)
Custom API-based AI embedding into any platform
Legacy system modernization with GenAI capabilities
Integrate GenAI Into Your Stack →

Technology Stack

OpenAI API Anthropic API REST / GraphQL Zapier / Make AWS Bedrock Azure OpenAI GCP Vertex AI LangChain Tools
60%
Average productivity increase reported by teams using our AI copilots
10x
Faster content and document generation vs. manual workflows
95%
Accuracy rate for RAG-powered knowledge retrieval systems
6wk
Typical time to first production generative AI deployment
GenAI Capabilities

Every Generative AI Services Capability Your Enterprise Needs

As a full-service generative AI company, we cover the complete GenAI capability stack — from foundation model selection to production deployment and ongoing optimization.

Capability 01
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Foundation Model Selection & Customization

We evaluate and select the right foundation model for your use case — balancing performance, cost, data privacy, and deployment requirements — then customize it for your domain.

Model Evaluation Fine-Tuning Benchmarking
Capability 02
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Enterprise Knowledge & Memory Systems

RAG architectures, vector databases, and long-term memory systems that give your generative AI applications access to the right information at the right moment.

RAG Pipelines Vector Search Semantic Memory
Capability 03
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Prompt Engineering & Chain Design

Systematic prompt optimization, chain-of-thought engineering, and prompt versioning that dramatically improves reliability, consistency, and output quality of LLM-powered systems.

Prompt Optimization Chain-of-Thought LangSmith
Capability 04
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Safety, Guardrails & Responsible GenAI

Output validation, hallucination mitigation, PII detection, content filtering, and compliance auditing — making your generative AI applications safe enough to run in regulated enterprise environments.

Guardrails AI PII Redaction Compliance
Capability 05
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GenAI MLOps & Production Infrastructure

Scalable inference infrastructure, model serving, latency optimization, cost management, and continuous evaluation pipelines — keeping your generative AI running reliably at production scale.

vLLM Serving LangSmith Monitoring Cost Optimization
Capability 06
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Tool Use & Function Calling Systems

LLMs that don't just generate text — they take action. We build tool-calling systems that let your generative AI query databases, call APIs, run code, and interact with external services autonomously.

Function Calling Tool Use API Integration
Industry Use Cases

Generative AI Solutions Across Every Major Industry

Our generative AI development services are calibrated for your industry — not applied generically. Domain expertise changes everything.

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Finance & Banking

AI-powered financial report generation, contract analysis, compliance document drafting, and personalized client communication at scale.

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Healthcare

Clinical note generation, patient discharge summaries, medical coding assistance, and AI-powered patient communication systems.

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Legal

Contract drafting and review, legal research summarization, due diligence automation, and AI-powered document Q&A systems.

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Retail & E-Commerce

Product description generation at scale, personalized marketing copy, AI-powered customer service agents, and dynamic pricing narratives.

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EdTech

Adaptive curriculum generation, AI tutoring assistants, automated assessment creation, and personalized learning path recommendations.

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Manufacturing

Technical documentation generation, maintenance report summarization, RFQ response automation, and AI-powered quality audit reporting.

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Telecom & Media

Automated content creation, personalized subscriber communications, AI-driven script generation, and real-time customer support automation.

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Real Estate

Property listing generation, AI-powered market reports, lease agreement drafting, and intelligent client communication at scale.

How We Work With You

Choose the Gen AI Development Services Engagement Model That Fits Your Stage

From validating your first generative AI use case to scaling enterprise-wide — we have a structured engagement model designed for your budget, timeline, and goals.

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GenAI Discovery Sprint

A focused 2–3 week engagement to identify your best generative AI opportunities, validate feasibility, and build a business case — before committing to development investment.

  • Current workflow & data landscape audit
  • GenAI use case identification & prioritization
  • ROI modeling and success metrics definition
  • Technical feasibility & model selection advice
  • Phased implementation roadmap with budget ranges
💡 Ideal for: Businesses exploring generative AI for the first time or building a leadership business case
Most Popular
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End-to-End GenAI Build

Our flagship engagement — full-cycle generative AI development from model selection to production deployment. You own the system, the fine-tuned model, and all intellectual property.

  • Model selection, fine-tuning & prompt engineering
  • RAG pipeline or knowledge base development
  • Full frontend, backend & API integration
  • Production deployment with monitoring infrastructure
  • 3-month post-launch optimization & support
  • Full IP transfer & source code ownership
💡 Ideal for: Enterprises building a proprietary generative AI product or system from the ground up
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Dedicated GenAI Team

An embedded team of LLM engineers, prompt specialists, and MLOps experts operating as an extension of your team — monthly retainer, full flexibility to scale up or down.

  • 2–8 dedicated GenAI specialists on your project
  • Flexible scope — adjust team size monthly
  • Agile delivery with weekly sprint reviews
  • Continuous model evaluation & improvement
  • Real-time performance dashboards & reporting
💡 Ideal for: Companies with ongoing generative AI needs wanting talent continuity without full-time hiring
Why Agentic India

Why We're the Generative AI Company Enterprises Trust

The generative AI market is flooded with vendors who wrap GPT APIs and call it a product. Here's what makes us genuinely different.

01

We Go Beyond API Wrappers

Anyone can call the OpenAI API. We fine-tune models on your data, build custom RAG architectures, and engineer production-grade systems that your competitors can't replicate by subscribing to a SaaS tool.

02

Production-First Engineering, Not Research-First

We build generative AI solutions that work reliably in production — with latency budgets, cost controls, fallback logic, and monitoring — not just impressive demos that collapse under real usage.

03

India's Cost Advantage, Zero Quality Compromise

As a leading generative AI development company in India, we deliver the same engineering quality as top US AI firms at 40–60% lower cost — giving you a compounding competitive advantage.

04

Hallucination-Resistant Architectures by Default

Our generative AI solutions include RAG grounding, output validation, citation tracking, and confidence scoring — minimizing hallucination risk and making AI outputs trustworthy enough for business-critical use.

05

Data Privacy & IP Protection Built In

Your data never trains third-party commercial models without explicit consent. We build with on-premise, private cloud, and data-isolated deployment options for organizations with strict data sovereignty requirements.

Agentic India vs. Typical GenAI Vendors

Factor Agentic India Typical Vendors
Approach Custom fine-tuned models Generic API wrappers
RAG Quality Hybrid search + reranking Basic vector lookup
Hallucination Control Guardrails + validation Minimal mitigation
Data Privacy Private / on-premise options Data shared with APIs
Production Readiness Monitoring + fallback + scaling Demo-grade quality
IP Ownership 100% client-owned Vendor lock-in
Cost Efficiency India-based, 40–60% savings Premium US/EU rates
Our Development Process

How We Build Generative AI Solutions That Work in Production

A battle-tested delivery process that takes you from use-case definition to production-grade generative AI — with zero shortcuts.

01

Discovery & Use Case Definition

Identify the highest-ROI generative AI opportunity, define success metrics, assess data readiness, and agree on the right model and architecture approach.

02

Model Selection, Data Prep & Fine-Tuning

Select the foundation model, prepare and curate training data, fine-tune with LoRA/QLoRA or RLHF, and evaluate against benchmarks with red-teaming.

03

RAG, Integration & Application Build

Build the knowledge retrieval layer, design prompting chains, develop the application interface, and integrate with your existing systems and workflows.

04

Deployment, Monitoring & Continuous Improvement

Production deployment with guardrails, latency monitoring, cost tracking, user feedback loops, and scheduled retraining to keep performance improving over time.

Technology Stack

The Generative AI Technology Stack We Build With

Our generative AI development company works across the full modern GenAI stack — selecting the right model, retrieval system, and infrastructure for every specific use case.

GPT-4o / GPT-4 Claude 3.5 Sonnet LLaMA 3 (8B / 70B) Mistral 7B / Mixtral Gemini 1.5 Pro Falcon 180B Phi-3 Mini / Medium Custom Fine-Tuned LLMs Command R+ (Cohere) Qwen 2
Pinecone Weaviate LlamaIndex Qdrant Chroma FAISS OpenAI Embeddings Cohere Embeddings pgvector Cohere Rerank Redis Vector ElasticSearch (hybrid)
LangChain LlamaIndex LangGraph Semantic Kernel Haystack DSPy OpenAI Assistants API Anthropic API LangSmith
LoRA / QLoRA HuggingFace PEFT Axolotl Unsloth DeepSpeed RLHF Pipelines TRL (HuggingFace) Weights & Biases OpenAI Fine-Tuning API
vLLM AWS Bedrock Azure OpenAI Service GCP Vertex AI Kubernetes Docker LangSmith Prometheus / Grafana Arize AI
Guardrails AI NeMo Guardrails Llama Guard Pydantic Validation Microsoft Presidio (PII) HumanLoop Confident AI (RAGAS) TruLens
Proven Results

What Our Generative AI development Services Actually Deliver

We measure generative AI success in business outcomes — productivity, cost, speed, and revenue. Here's the real impact.

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10x
Faster Content Generation

Teams using our generative AI content systems produce first drafts 10x faster — with consistent brand voice and fewer revision cycles.

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60%
Productivity Increase

Knowledge workers using our AI copilots report 60% productivity gains on document-heavy, repetitive, or research-intensive tasks.

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95%
RAG Answer Accuracy

Our enterprise RAG systems achieve 95%+ answer accuracy on domain-specific queries — far above general-purpose LLM baselines.

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45%
Support Cost Reduction

Generative AI chatbots built on our platform resolve 45% more support tickets without human intervention vs. previous rule-based systems.

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6wk
Time to Production

Our structured delivery process gets your first production generative AI system live in as little as 6 weeks from project kickoff.

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50+
GenAI Projects Delivered

Across industries including finance, healthcare, legal, retail, and manufacturing — in India, USA, UK, and UAE.

Ready to Build Gen AI Development Services That Changes How Your Business Operates?

Join 40+ enterprises that have deployed production-grade generative AI solutions with Agentic India. Your first consultation is free — and it starts with your use case, not a sales pitch.

Get a Free GenAI Consultation → View Case Studies
No obligation Response within 24 hours 8+ years AI experience IP fully owned by you
FAQ

Common Questions About Our Generative AI Development Services

What is the difference between generative AI and traditional AI?

Traditional AI classifies, predicts, or detects patterns in existing data. Generative AI creates new content — text, code, images, audio — based on learned patterns. For businesses, generative AI unlocks automation of knowledge work, not just data analysis.

Do I need to fine-tune an LLM or can I just use RAG?

It depends on your use case. RAG is ideal when your AI needs access to up-to-date, specific knowledge from your documents. Fine-tuning is better when you need the model to behave differently — adopt a specific tone, follow precise formats, or develop domain expertise. We help you choose the right approach in our discovery phase.

How do you prevent AI hallucinations in generative AI systems?

We use a layered approach: RAG grounding to anchor responses in verified sources, output validation with Guardrails AI, confidence scoring, citation attribution, and human-review gates for high-stakes outputs. Our systems are designed to fail safely when uncertain rather than fabricate answers.

Will my data be used to train public models?

Never without your explicit consent. We build with data-isolated architectures — private cloud, on-premise, or dedicated inference endpoints — ensuring your proprietary data stays within your control. We can also use open-source models that have no data sharing requirements with any third party.

How much does generative AI development cost?

Costs range from $15,000 for a focused AI chatbot or copilot to $150,000+ for enterprise RAG systems with custom fine-tuned models. We provide detailed, transparent estimates after our discovery sprint — no vague "contact us for pricing" responses.

How long does it take to build a generative AI solution?

A focused AI chatbot or copilot can be live in 4–6 weeks. A full RAG system with fine-tuning and enterprise Agentic AI integration typically takes 8–16 weeks. Complex multi-model generative AI platforms may take 4–6 months. We always agree on a timeline with milestones before starting.

Can you integrate generative AI into our existing tools like Salesforce or SAP?

Yes. We have pre-built integration patterns for Salesforce, HubSpot, SAP, Microsoft 365, Slack, Teams, Notion, and more. Our generative AI solutions embed into existing workflows — your team gets AI superpowers without switching tools.

Do you serve clients in the USA as well as India?

Yes. We work with enterprises across India, USA, UK, UAE, and Southeast Asia. Our India-based generative AI engineers operate on overlapping US time zones, follow global engineering standards, and deliver the same quality as premium US-based AI firms — at significantly lower cost.

Contact Us

Let's Build Your Generative AI Solution Together

Tell us about your use case and we'll design a custom generative AI development plan. Our LLM specialists respond within 24 hours with an initial assessment and proposed approach.

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650, Tower A, Spaze iTech Park, Sohna Road, Gurgaon, India
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+91-9818811681
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info@agenticindia.in
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Serving India, USA, UK, UAE & globally

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