AI development company in Mumbai for smarter business

Our AI Starter Pack starts at ₹49,900. It covers one focused AI feature, such as a customer support chatbot, a document summariser or AI-powered search. Custom AI builds usually start from ₹1,50,000, depending on complexity. These include full AI web applications, ML model development and automation pipelines. Managed AI retainers for ongoing development start at ₹30,000/month. We share an exact quote after a free 30-minute consultation about your needs.

Yes. We sign a Non-Disclosure Agreement (NDA) before any detailed project discussion. Your business idea, data plans and AI use case stay fully confidential. When the project is complete, you own 100% of all source code, model configurations, training data pipelines and documentation. We keep no rights to your data or IP (intellectual property).

We work with all the major commercial AI models: OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet/Haiku, Google Gemini Pro/Flash, and open-source models through Hugging Face. We use LangChain, Flowise and n8n to connect the different steps together. We use Pinecone and FAISS for vector storage (a special database that helps AI find information quickly). For custom ML model training, we use PyTorch/TensorFlow. We suggest the best model for you based on performance, cost-per-token (usage cost) and privacy needs.

Not every AI solution needs a lot of data. AI chatbots built with RAG (Retrieval-Augmented Generation, where the AI answers from your own documents) work with as few as 20–50 documents. These can be your product catalogue, FAQ sheet and website content. Generative AI integration (ChatGPT/Claude for content writing or document Q&A) needs no training data at all. Some ML models do need past data. In the free consultation, we check your data and advise you honestly. We tell you if custom training is possible, or if a pre-trained model would give better results faster.

An AI Starter Pack (chatbot, document summariser or AI search) usually takes 2–4 weeks. A Custom AI Build usually takes 8–16 weeks, depending on scope. This could be a full web application with AI, ML model training or a complex automation pipeline. With a Managed AI retainer, we deliver new features every month in short, regular work cycles (sprints). We share an exact timeline in your project proposal after the discovery call.

Yes. We build the complete backend and REST API that runs the app, usually with Node.js (Express) or Laravel, depending on the project. The backend is the behind-the-scenes part of the app. It handles user logins, data storage, business logic, push notifications, third-party connections and admin functions. We also build the admin dashboard 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 support period after launch. It is 3 months for MVP projects (a first, basic version of the app) and 12 months for full business and enterprise apps. This covers bug fixes, crash fixes, OS compatibility updates and small feature changes. These updates are very important when Apple and Google release major iOS/Android versions. After the support period, we offer monthly retainers or prepaid support hours. These cover ongoing development, new features and maintenance.

Yes. Adding AI to an existing product is often the most cost-effective option. We can add a chatbot widget to your current WordPress/WooCommerce/Shopify site, or AI-powered search to your online store. We can also add a document Q&A system to your customer portal, or AI content features to your current SaaS. All of this is done without rebuilding your core product. Where possible, we use REST APIs and JavaScript embeds, so there is very little disruption to your existing code.

Yes. AI solutions that use commercial LLM APIs (large language models such as GPT-4, Claude and Gemini) have ongoing usage costs. You pay these directly to the AI provider. They are usually $0.01–$0.10 per conversation, depending on the model and message length. We keep these API costs low through efficient prompts, response caching and the right choice of model. ML models that do not use outside APIs have no usage costs apart from hosting. We explain all ongoing costs clearly in the project proposal, so there are no surprises.

AI helps any business that has repetitive tasks, many customer queries, lots of documents, or data it is not fully using. In Mumbai, we see strong ROI (return on investment) in these areas: healthcare (appointment chatbots, report summaries), manufacturing (demand forecasting, quality control), eCommerce (chatbots, recommendations, search), legal and financial services (document processing), logistics (route and demand planning), and customer-facing businesses with many support queries. We are happy to give you an honest view of your own use case in the free consultation.