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AI & Machine Learning · Kolkata & Haldia

AI & Machine Learning Development Company in Kolkata

Predictive models, computer vision and NLP built around your business data, scoped with clear metrics and taken from pilot to production by our team in Kolkata.

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  • Fixed, itemised quote
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AI & Machine Learning services by HSR Hi-Tech Solutions, Kolkata
From ₹49,999*Transparent pricing
MSME registeredKolkata & Haldia

Overview

AI & Machine Learning that delivers real business results

Many businesses in Kolkata and across West Bengal already sit on useful data: sales history, attendance logs, invoices, support tickets and images. The problem is turning it into decisions. AI projects often stall because they start with a tool instead of a business question, run on messy data, or never leave a notebook. The result is a demo that impresses once and then quietly gets abandoned.

We start with a short discovery to define the outcome you care about, such as better demand forecasts, fewer manual checks or earlier churn warnings. We then assess your data, build a simple baseline, and measure every model against it using agreed metrics. Once a model proves its value, we package it as an API, scheduled job or dashboard feature, with logging and versioning so it can be monitored and improved over time.

HSR Hi-Tech Solutions is an MSME registered IT company with offices in Sector V, Kolkata and Haldia, serving clients across India. We build real software, including HSR SmartAttend, our face recognition attendance system, so we understand what it takes to run AI in production. We are honest about limitations: models make mistakes, and we design human review and fallbacks where errors matter.

AI & Machine Learning team at work
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Why choose HSR

Benefits of our ai & machine learning services

Outcome-first scoping

Success metrics and failure modes are agreed before any model code is written.

Measured against a baseline

Every model is compared with a simple baseline so you can see the real improvement.

Explainable outputs

Interpretable models and feature explanations help your team trust and debug predictions.

Fits your systems

Predictions delivered via APIs, databases or dashboards your team already uses.

Privacy aware

Personal data handling, access control and consent are planned from the first week.

Built to be maintained

Versioned models, logging and drift checks so performance can be tracked after launch.

What we offer

Our ai & machine learning services

Pick a single service or combine them into one end-to-end engagement.

Predictive Analytics

Demand forecasting, churn prediction, lead scoring and sales projections from your historical data.

Computer Vision

Face recognition, object detection, image classification and visual quality inspection using OpenCV and deep learning.

Natural Language Processing

Text classification, sentiment analysis, entity extraction and document triage on business text.

Anomaly & Fraud Detection

Flag unusual transactions, sensor readings or usage patterns early so your team can review them.

Recommendation Systems

Product, content and course recommendations that personalise apps and e-commerce stores.

Data Pipelines & Feature Engineering

Collect, clean and prepare data so models train on reliable, well-structured inputs.

Learn more

Model Deployment & MLOps

REST APIs, batch jobs, model versioning and monitoring on your servers or cloud.

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AI Features in Apps

Add ML features such as image recognition or smart search to your web and mobile applications.

Learn more

How we work

Our ai & machine learning process

  1. 01

    Discovery & Use-Case Fit

    We define the business question, success metrics and constraints, and check if ML is the right tool.

  2. 02

    Data Assessment

    We review data quality, volume and labelling needs, and agree on how sensitive data is handled.

  3. 03

    Baseline & Prototype

    A simple baseline is built first, then improved models are tested and compared on held-out data.

  4. 04

    Integration & Deployment

    The chosen model is packaged as an API or scheduled job and connected to your systems.

  5. 05

    Monitoring & Improvement

    We track accuracy and data drift, retrain when needed and hand over documentation to your team.

Pricing

AI & Machine Learning packages & pricing

Clear starting prices. Every project gets a written, itemised quote before work begins.

Proof of Concept

Testing if ML can solve one specific problem

Starting at ₹49,999*
  • One well-defined use case
  • Data quality assessment
  • Baseline and prototype model
  • Evaluation report with metrics
  • Jupyter notebook and findings walkthrough
  • Recommendation on next steps

Enterprise AI

Multiple models or complex, regulated workloads

Custom quote
  • Multiple use cases and models
  • Computer vision or NLP at scale
  • Cloud or on-premise deployment
  • Access control and audit trails
  • Scheduled retraining workflows
  • Team training and documentation

*Starting prices. Final quote depends on scope; taxes as applicable.

Technology

Tools & technologies we use

Pythonscikit-learnTensorFlowPyTorchKerasOpenCVNumPypandasMatplotlibJupyterHugging Face

Our work

Recent ai & machine learning projects

Full portfolio

FAQs

AI & Machine Learning FAQs

A focused proof of concept starts at ₹49,999 and a production-ready model with integration starts at ₹1,49,999. Larger programmes with multiple models are quoted after discovery. Pricing is milestone based, so you can stop after the proof of concept if the results do not justify further investment.

A proof of concept typically takes 3 to 5 weeks, depending on how ready your data is. Taking a model to production with an API, integration and monitoring usually adds another 4 to 8 weeks. Data cleaning and labelling are often the longest steps, and we flag this early in discovery.

Not always. We assess data quality and volume during discovery. Many useful pilots start with a few thousand labelled records, and pre-trained models can reduce data needs for vision and text tasks. If your data is not sufficient yet, we will say so and suggest how to collect it.

We sign an NDA on request, use access-controlled environments, and only work with the data needed for the use case. Personal information can be masked or anonymised before training. Models can be deployed on your own servers or cloud account so your data stays under your control.

No honest provider can guarantee accuracy before seeing your data. What we do is agree target metrics upfront, measure results against a baseline on held-out data, and report them transparently. Where mistakes are costly, we design human review steps and confidence thresholds so uncertain predictions are checked.

Yes, through our Generative AI and Automation service. This page covers predictive models, computer vision and NLP built on your own data. Many projects combine both, for example a forecasting model whose results are explained to staff through an AI assistant.

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