AI and automation

AI development company in Kolkata for custom AI software

We design, build and run AI systems that do real work: answering customers, reading invoices, scoring leads, forecasting stock and drafting reports. Built on your data, deployed in your cloud and measured on hours saved.

What does an AI development company do?

An AI development company plans, builds and maintains software that uses machine learning or large language models to perform tasks that normally need human judgement, such as answering questions, classifying documents, extracting data, predicting outcomes or taking actions in other systems. WebKitLab handles the full cycle: use case selection, data preparation, model choice, application development, security, deployment and monitoring.

What our ai software development covers

Custom AI software that reads documents, answers questions, predicts demand and automates decisions inside your business.

LLM applications

Assistants and copilots built on GPT, Claude, Gemini or open models, grounded in your own documents through retrieval.

AI agents

Software that plans and completes multi step tasks across your CRM, ERP, email and spreadsheets, with approval steps you control.

Document intelligence

Read invoices, KYC forms, prescriptions, contracts and receipts, then push clean data into your systems.

Prediction models

Demand forecasting, churn risk, credit scoring and lead scoring trained on your history.

Private deployment

Run models in your own cloud or on premises when data cannot leave your control.

Evaluation and monitoring

Test sets, accuracy dashboards and alerts so quality is measured, not assumed.

How we approach ai software development

Most AI projects fail for ordinary reasons: the wrong first use case, messy data, no plan for errors and nobody measuring the result. We start with one process that has a clear cost today, prove the gain on real data within weeks, and only then expand.

Every system we build keeps a human in control where it matters. Answers cite their sources, risky actions need approval and every decision is logged, so your team can trust what the AI does and correct it when needed.

Every project starts with a short discovery call and ends with software you own: source code, data, cloud accounts and documentation are handed over in your name.

Modules and features

  • Use case discovery
  • Data audit
  • Retrieval (RAG)
  • Fine tuning
  • Prompt engineering
  • Guardrails
  • Human review queues
  • Usage analytics
  • Cost controls
  • API integration

Built for

  • Founders building AI products
  • Operations heads
  • Banks and NBFCs
  • Schools and universities
  • Hospitals and clinics
  • Retail and D2C brands

Technology we use

  • Python
  • FastAPI
  • LangGraph
  • OpenAI
  • Anthropic Claude
  • Gemini
  • Llama
  • PostgreSQL + pgvector
  • AWS
  • Azure

From first call to launch

The same five stages for every build, with a working demo at the end of each sprint so you see progress, not promises.

  1. Discovery

    We map your process, users and data, agree the first release and give you a fixed price for it.

  2. Design

    Clickable prototypes of the key screens, reviewed with the people who will use them every day.

  3. Build in sprints

    Two week sprints with a demo each time. You can change priorities between sprints.

  4. Test and launch

    Functional, security and load testing, data migration, training and a planned go live.

  5. Support and grow

    Monitoring, fixes and new features on a monthly plan, or a clean handover to your team.

Questions about ai software development

How much does custom AI development cost in India?

A focused proof of concept on one process usually costs far less than a full product, and tells you whether the full build is worth it. Final cost depends on data preparation, integrations, the number of users and hosting. We give a fixed quote for the first phase after a discovery call.

Is our data safe with an AI model?

We use enterprise API terms that exclude your data from model training, or run open models inside your own cloud. Access is role based, sensitive fields can be masked and every request is logged.

How long does an AI project take?

A working proof of concept typically takes three to six weeks. A production system with integrations, security review and monitoring usually takes two to four months.

Do you work only in Kolkata?

Our engineering team is based in New Town, Kolkata, and we work with clients across West Bengal, the rest of India and overseas. Most projects run remotely with weekly demos, and we meet in person when it helps.

Get a free scope for your ai software development project

Share three details. A senior engineer from our Kolkata team will call you, understand the problem and send a written scope with timeline and cost. No obligation, no spam.

  • A short call with an engineer, not a salesperson
  • A written scope: modules, technology, timeline and fixed cost for phase one
  • Honest advice, including when an existing product fits better than custom code

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