AI Development
Company
India

An AI development company builds custom artificial intelligence software — chatbots, machine learning models, generative AI integrations and RAG applications — tailored to your business needs. Unlike a generic software agency, an AI development company specialises in integrating large language models, training custom models and deploying production-grade AI systems. CV Infotech has delivered AI projects for SaaS companies and enterprises across the USA, UK and Australia.

AI software development with CV Infotech typically costs $5,000–$50,000+ depending on scope. A simple ChatGPT integration or chatbot starts around $5,000–$15,000, while a full RAG application or custom machine learning system ranges from $20,000–$50,000+. We provide a fixed-price proposal with clear deliverables before any work begins, so there are no surprises.

Yes. We integrate OpenAI's GPT-4, GPT-4o and custom fine-tuned models into existing web apps, SaaS products and internal tools via the OpenAI API. We handle prompt engineering, rate limiting, authentication, cost optimisation and fallback handling. Your AI feature ships production-ready, not as a fragile prototype.

RAG (Retrieval Augmented Generation) lets an AI answer questions using your own documents, databases and knowledge bases instead of just its training data. You need RAG if you want accurate, up-to-date answers grounded in your private content — for example a support bot trained on your documentation. We build RAG systems using vector databases, embeddings and LLMs like GPT-4 and Claude.

A custom AI chatbot typically takes 4–8 weeks from kickoff to production, depending on complexity and data integration requirements. A simple FAQ chatbot can be live in 2–3 weeks, while a chatbot with RAG, multi-channel deployment and CRM integration takes longer. We work in weekly sprints with demos so you see progress throughout the build.

We work with all major AI models including OpenAI GPT-4 and GPT-4o, Anthropic Claude, Google Gemini and open-source models like Llama and Mistral. We help you choose the right model for your use case based on cost, accuracy, latency and data privacy requirements. We are model-agnostic — we recommend what is best for your project, not what locks you into a single vendor.

Yes. We have built AI solutions for regulated and specialised industries including healthcare, legal, ecommerce, fintech and professional services. We understand the compliance, data privacy and accuracy requirements these industries demand — including HIPAA-aware architecture, data isolation and human-in-the-loop review where needed. Every AI system is built with appropriate safety guardrails for its domain.

Regular software development follows deterministic logic — the same input always produces the same output. AI development works with probabilistic models that require prompt engineering, model selection, evaluation pipelines and guardrails to ensure reliable output. AI projects also need ongoing monitoring and tuning, which is why we build evaluation and quality controls into every AI system we deliver.

Yes. We regularly take over and rescue existing AI projects — auditing the current codebase, prompts, model usage and infrastructure, then stabilising and extending it. Whether your previous developer left or your prototype needs to become production-grade, we document what exists and provide a clear roadmap before making changes. Zero disruption to your running system.

We build evaluation pipelines, guardrails and human-in-the-loop review into every AI system to ensure accurate, safe output. This includes prompt testing against edge cases, output validation, content filtering, hallucination reduction through RAG grounding and ongoing monitoring after launch. We never ship an AI feature without a quality and safety review.