AI Development Services
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.
Why It Matters
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.
What We Deliver
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.
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.
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).
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%.
Image recognition, OCR, document classification, invoice processing, medical image analysis, and quality inspection systems. We process millions of documents monthly for our enterprise clients.
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.
How We Work
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.
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.
Our team builds the complete AI pipeline — data preprocessing, model fine-tuning, API development, and frontend integration — with weekly demos and progress updates.
Rigorous testing for accuracy, latency, edge cases, and bias. We optimize model performance, reduce inference costs, and ensure production-grade reliability.
We deploy to your cloud (AWS/Azure/GCP) with auto-scaling, monitoring dashboards, and alerting. We track model drift and retrain as needed.
12 months of post-launch support including model retraining, performance optimization, new feature development, and priority bug fixes.
Industries We Serve
Common Questions
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.
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.
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.
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.
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.
Get a free consultation and detailed project estimate within 24 hours. No commitment required. NDA available on request.