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 ProjectEvery generative AI service we offer is designed to move from proof-of-concept to production, delivering measurable ROI, not just impressive demos.
At Agentic India, our gen AI experts helped multiple businesses across the verticals to help get an edge in the market landscape.
Partner with our experts to build intelligent, scalable AI solutions that automate workflows and unlock new revenue opportunities.
Let’s ConnectWe measure generative AI success in business outcomes, productivity, cost, speed, and revenue. Here's the real impact.
A battle-tested delivery process that takes you from use-case definition to production-grade generative AI with zero shortcuts.
Identify the highest-ROI generative AI opportunity, define success metrics, assess data readiness, and agree on the right model and architecture approach.
Select the foundation model, prepare and curate training data, fine-tune with LoRA/QLoRA or RLHF, and evaluate against benchmarks with red-teaming.
Build the knowledge retrieval layer, design prompting chains, develop the application interface, and integrate with your existing systems and workflows.
Production deployment with guardrails, latency monitoring, cost tracking, user feedback loops, and scheduled retraining to keep performance improving over time.
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.
As a full-service generative AI company, we cover the complete GenAI capability stack from foundation model selection to production deployment and ongoing optimization.
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.
RAG architectures, vector databases, and long-term memory systems that give your generative AI applications access to the right information at the right moment.
Systematic prompt optimization, chain-of-thought engineering, and prompt versioning that dramatically improve the reliability, consistency, and output quality of LLM-powered systems.
Invoices, forms, contracts, applications we teach machines to read them. Our IDP solutions extract the right data from any document, in any format, without manual keying.
When systems can talk to each other directly, we make that happen. We connect your tools at the API level for faster, cleaner automations that don't rely on screen scraping.
Scalable inference infrastructure, model serving, latency optimization, cost management, and continuous evaluation pipelines keep your generative AI running reliably at production scale.
Let’s create AI-driven systems that improve efficiency, reduce costs, and drive measurable growth.
Talk to our Gen AI specialistsThe generative AI market is flooded with vendors who wrap GPT APIs and call it a product. Here's what makes us genuinely different.
Our generative AI development services are calibrated for your industry, not applied generically. Domain expertise changes everything.
Our team delivers secure, high-performance AI solutions from chatbots to automation engines built for real-world impact.
Book your free consultationTraditional AI classifies, predicts, or detects patterns in existing data. Generative AI creates new content, text, code, images, and audio based on learned patterns. For businesses, generative AI unlocks automation of knowledge work, not just data analysis.
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.
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.
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.
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.
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.
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.
Yes. We work with enterprises across India, the USA, the UK, the 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.