AI Development Company in Kolkata

Assistants grounded in your own manuals, policies, and product data using retrieval-augmented generation — so answers cite your documents instead of inventing them.

Agents that carry out real sequences of work: read the email, extract the order, check stock, raise the invoice, update the CRM, escalate the exception to a human.

Demand forecasting, churn and credit scoring, recommendation engines, and anomaly detection — trained on your data, validated against your historical outcomes.

Quality inspection on a production line, OCR for invoices and KYC documents, attendance from CCTV, and damage assessment from photographs.

GPT, Claude, Gemini, and open-weight models like Llama and Mistral wired into your existing product, with prompt versioning, evaluation suites, and cost controls.

Deployment pipelines, drift monitoring, evaluation harnesses, and retraining schedules — the part that decides whether a model still works in month nine.

What does AI development cost in Kolkata?

A grounded chatbot or document-processing workflow typically runs ₹3–8 lakh to build. Custom machine learning models and multi-agent systems run ₹10–30 lakh depending on data readiness. Ongoing inference and hosting is billed at cost. We quote a fixed price against a written scope.

Do you need our data before you can quote?

No. We quote from a two-week paid discovery in which we look at samples, judge whether the data supports the outcome you want, and tell you honestly if it does not. That assessment is yours to keep whether or not you continue with us.

Will our confidential data be sent to OpenAI or Google?

Only if you choose that route. We can deploy open-weight models such as Llama or Mistral entirely inside your own AWS, Azure, or on-premise environment so nothing leaves your network. When frontier APIs are the better fit we use enterprise endpoints with zero data retention.

How do you stop the AI from making things up?

Retrieval-augmented generation grounds every answer in your own documents and returns the source, structured output schemas constrain what the model can return, and confidence thresholds route uncertain cases to a human. We also ship an evaluation set so accuracy is measured, not assumed.

Can AI work with the systems we already have?

That is the normal case. We integrate with your ERP, CRM, Tally, email, WhatsApp Business, and databases through APIs, so the AI reads and writes where your team already works instead of becoming another tool nobody opens.

How long before an AI system is live?

A grounded chatbot or document pipeline is usually in production in 6 to 10 weeks. Custom-trained models take 3 to 5 months, most of which is data preparation and validation rather than modelling.