Generative AI and LLM solutions
We build custom AI solutions powered by GPT-4, Claude, LLaMA, and other large language models. From intelligent chatbots to complex RAG pipelines — we help businesses automate workflows, enhance customer experience, and unlock data-driven insights at scale.
Timeline
4 to 8 weeks to production, after a 2 to 3 week proof of concept
Typical budget
$5,000 to $50,000, with a fixed-price quote after discovery
Accuracy target
90%+ for production deployments
Why your business needs AI now
The AI revolution is not coming — it is here. Companies that adopt Generative AI today are seeing 40-60% reduction in operational costs, 3x faster customer response times, and entirely new revenue streams from AI-powered products.
At Bhundal InfoTech, we do not just integrate APIs — we architect intelligent AI systems tailored to your specific business domain. Whether you need a customer support chatbot that actually understands context, a document processing pipeline that eliminates manual data entry, or a recommendation engine that drives conversions — our AI engineers have delivered it for companies across FinTech, Healthcare, E-Commerce, and Legal sectors.
As an India-based AI development company, we offer enterprise-grade AI solutions at 40-60% lower cost than US/UK agencies, without compromising on quality, security, or delivery timelines.
Key capabilities
Custom GPT and LLM fine-tuning
We fine-tune foundation models like GPT-4, Claude, LLaMA, and Mistral on your proprietary data — creating domain-specific AI that understands your industry terminology, business rules, and customer context with 90%+ accuracy.
RAG pipeline development
Our Retrieval-Augmented Generation pipelines combine your knowledge base (documents, databases, APIs) with LLM capabilities to deliver accurate, hallucination-free responses grounded in your actual data. We use Pinecone, ChromaDB, and Weaviate for vector storage.
AI chatbots and virtual assistants
We build intelligent conversational AI for customer support (reduce ticket volume by 60%), lead generation (qualify leads 24/7), internal helpdesk (instant IT/HR answers), and sales automation (personalized product recommendations).
Prompt engineering and optimization
Our prompt engineers design complex multi-step workflows using chain-of-thought reasoning, few-shot learning, function calling, and structured output formatting — maximizing AI accuracy while minimizing token costs by up to 70%.
Computer vision and document AI
Image recognition, OCR, document classification, invoice processing, medical image analysis, and quality inspection systems. We process millions of documents monthly for our enterprise clients.
AI integration and API development
Seamless integration of OpenAI, Anthropic Claude, Hugging Face, and custom models into your existing applications via robust, scalable REST APIs with rate limiting, caching, and monitoring.
Our proven process
Sprint-based delivery with weekly demos and full visibility into the work at every step.
Discovery and data audit
We analyze your existing data, workflows, and business goals to identify the highest-impact AI opportunities. We provide a detailed AI readiness assessment and ROI projection.
Architecture and POC
We design the AI architecture and build a working proof-of-concept within 2-3 weeks so you can validate the approach before committing to full development.
Development and training
Our team builds the complete AI pipeline — data preprocessing, model fine-tuning, API development, and frontend integration — with weekly demos and progress updates.
Testing and optimization
Rigorous testing for accuracy, latency, edge cases, and bias. We optimize model performance, reduce inference costs, and ensure production-grade reliability.
Deployment and monitoring
We deploy to your cloud (AWS/Azure/GCP) with auto-scaling, monitoring dashboards, and alerting. We track model drift and retrain as needed.
Ongoing support
12 months of post-launch support including model retraining, performance optimization, new feature development, and priority bug fixes.
Industries and technologies
Industries
FinTech & Banking, Healthcare & Pharma, E-Commerce & Retail, Legal Tech, EdTech, Customer Support, HR Automation, Content Generation, Document Processing, Supply Chain, Insurance, Real Estate
Technologies
OpenAI GPT-4, Claude API, LangChain, LlamaIndex, Hugging Face, Python, FastAPI, Pinecone, ChromaDB, Weaviate, TensorFlow, PyTorch, AWS SageMaker, Azure OpenAI, Docker, Redis
Frequently asked questions
How long does it take to build a custom AI solution?
A typical AI chatbot or RAG pipeline takes 4-8 weeks from kickoff to production. Complex multi-model systems may take 8-16 weeks. We always start with a 2-3 week POC so you can validate the approach early.
Do we need a large dataset to get started?
Not necessarily. We can start with as little as 50-100 documents for RAG systems. For fine-tuning, we typically need 500-5000 examples. We also help you create synthetic training data when real data is limited.
How much does AI development cost from India?
Our AI solutions typically range from $5,000-$50,000 depending on complexity. This is 40-60% less than equivalent US/UK agencies. We provide a detailed fixed-price quote after the discovery phase.
Will the AI solution be accurate enough for production?
We target 90%+ accuracy for all production deployments. We implement human-in-the-loop feedback systems, guardrails against hallucination, and continuous monitoring to maintain quality.
Can you integrate AI with our existing systems?
Absolutely. We have experience integrating AI with Salesforce, HubSpot, Slack, Teams, SAP, custom CRMs, ERPs, and any system with an API. We build secure, scalable API integrations.
Want the detail first? Read our guide: How to plan a generative AI project.
Work we have shipped.
Featured projects for clients in education, financial services, healthcare, retail, real estate and logistics.
Ready to bring AI to your business?
Get a free consultation and detailed project estimate within 24 hours. No commitment required. NDA available on request.