Build Smarter Businesses with Custom AI Solutions — Mumbai Pricing

Our AI Starter Pack begins at ₹20,000 — covering a focused, single-use-case AI integration like a customer support chatbot, document summariser, or AI-powered search feature. Custom AI builds (full AI web applications, ML model development, automation pipelines) typically start from ₹1,50,000 depending on complexity. Managed AI retainers for ongoing development start at ₹30,000/month. We provide a precise quote after a free 30-minute consultation where we understand your specific use case.

Yes — we sign a Non-Disclosure Agreement before any detailed project discussion. Your business idea, data strategy, and AI use case are fully confidential. Upon project completion, you own 100% of all source code, model configurations, training data pipelines, and documentation. We retain no rights to your data or IP.

We work with all major commercial AI models — OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet/Haiku, Google Gemini Pro/Flash, and open-source models via Hugging Face. We also use LangChain, Flowise, and n8n for orchestration; Pinecone and FAISS for vector storage; and PyTorch/TensorFlow for custom ML model training. We recommend the best model for your use case based on performance, cost-per-token, and privacy requirements.

Not all AI solutions require large datasets. AI chatbots built with RAG (Retrieval-Augmented Generation) work with as few as 20–50 documents — your product catalogue, FAQ sheet, and website content. Generative AI integration (ChatGPT/Claude for content generation or document Q&A) requires no training data at all. For ML models that need historical data, we assess your data situation in the free consultation and advise on whether custom training is viable or a pre-trained model would deliver better results faster.

An AI Starter Pack (chatbot, document summariser, or AI search integration) typically takes 2–4 weeks. A Custom AI Build — full web application with AI, ML model training, or complex automation pipeline — typically takes 8–16 weeks depending on scope. Managed AI retainers deliver new features every month in an ongoing sprint model. We provide a precise timeline in your project proposal after the discovery call.

Yes — we build the complete backend and REST API that powers the app, typically using Node.js (Express) or Laravel depending on the project. The backend handles user authentication, data storage, business logic, push notifications, third-party integrations, and admin functions. We also build the admin dashboard that your team uses to manage app content, users, and orders. A complete app delivery includes both the mobile app and the full backend.

Every mobile app project includes a post-launch support period — 3 months on MVP projects, 12 months on full business and enterprise apps. This covers bug fixes, crash resolution, OS compatibility updates (critical when Apple and Google release major iOS/Android versions), and minor feature adjustments. After the support period, we offer monthly retainers or prepaid support hours for ongoing development, feature additions, and maintenance.

Yes. Adding AI to an existing product is often the most cost-effective approach. We can integrate a chatbot widget into your existing WordPress/WooCommerce/Shopify site, add an AI-powered search to your eCommerce store, embed a document Q&A system into your customer portal, or add AI-generated content features to your existing SaaS — all without rebuilding the core product. We work via REST APIs and JavaScript embeds where possible to minimise disruption to your existing codebase.

Yes — AI solutions that use commercial LLM APIs (GPT-4, Claude, Gemini) incur ongoing API usage costs payable directly to the AI provider, typically $0.01–$0.10 per conversation depending on the model and message length. We design solutions to minimise API costs through efficient prompt engineering, response caching, and model selection. For ML models that don't use external APIs, there are no per-usage costs beyond hosting. We estimate all ongoing costs clearly in the project proposal so there are no surprises.

Any business with repetitive tasks, customer queries, large document volumes, or data they are not fully utilising benefits from AI. In Mumbai specifically, we see strong ROI for: healthcare (appointment chatbots, report summarisation), manufacturing (demand forecasting, quality control), eCommerce (chatbots, recommendations, search), legal and financial services (document processing), logistics (route and demand optimisation), and customer-facing businesses with high support volumes. We're happy to give an honest assessment of your specific use case in the free consultation.