Primary practice · Gurugram
AI development company in India — chatbots, NLP, and ML in the product
AI development is the centre of CycloneWebz. We plan the use case, then ship assistants, language, forecasting, and vision your team can operate — not a demo that dies after the board meeting.
Most AI projects fail because they start with a model, not a job. We start with the conversation, document, or decision you want to change. Then we choose retrieval, a vendor model, or a smaller trained model — and put it in the website, WhatsApp flow, or mobile app people already open.
Guardrails, evaluation, and retraining are part of the work. The brand stays in control of what the system is allowed to say. Web, mobile, ecommerce, and IoT stay in the same studio so the AI is not a sidecar vendor.
What this service includes
An assistant or model in production: answering from your data, logging what it did, and owned by the same Gurugram team that built the product around it.
- RAG assistants on your documents
- Custom chatbots and NLP
- WhatsApp, web, and in-app help
- Predictive analytics
- Computer vision
- Guardrails, evals, and retraining
Strategic AI planning
We pick problems worth automating and data you actually have — not a model looking for a slide.
RAG and custom chatbot development
Assistants that answer from your PDFs, CMS, and tickets. They sit on the site, WhatsApp, or in-app help, with citations and a human fallback.
NLP, document, and voice
Classification, extraction, sentiment, and voice bots for support, ops, and compliance-heavy text.
Predictive analytics
Forecasts and signals inside CRMs, ops tools, and dashboards people already open every morning.
Visual recognition
Computer vision for inspection, tagging, and experiences that respond to the real world.
Questions about ai development
Do you build chatbots only, or full AI products?
AI development is the lead practice. Chatbots are common; we also ship RAG assistants, NLP, prediction, and vision inside existing web and mobile apps.
Will our data leave our control?
We agree the store, the vendor, and the retention before a line of production traffic. NDAs are standard. Private retrieval is the default when the corpus is sensitive.
Do you fine-tune models?
When the job needs it and the data is clean enough. Many products ship faster and safer with retrieval plus a hosted model. We will say which, and why.
Do you build WhatsApp AI chatbots?
Yes. WhatsApp chatbot development is part of the AI practice when that is the channel customers already use. Official Business API only, with a human fallback.
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