Advanced AI & Machine Learning Solutions

Transform your business with cutting-edge artificial intelligence and machine learning technologies. From intelligent automation to predictive analytics, we deliver AI solutions that drive innovation and growth.

Breeur Solutions delivers professional AI and machine learning development in Mumbai including ChatGPT integration with GPT-4/GPT-5 API for intelligent chatbots, custom ML model development using TensorFlow and PyTorch, natural language processing (NLP) with BERT/T5/Rasa, computer vision with OpenCV/YOLO for object detection and facial recognition, predictive analytics for forecasting and business intelligence, intelligent process automation with RPA+AI, recommendation systems for e-commerce, and generative AI with 50+ AI models deployed, 95% average accuracy, and 40% cost reduction.

Our AI/ML engineering team creates intelligent solutions using leading frameworks - TensorFlow for production deployment at scale with TensorFlow Serving/Lite/JS, PyTorch for research and NLP with dynamic graphs, Scikit-learn for traditional ML algorithms, AWS SageMaker and Google AI Platform for cloud ML infrastructure. Development costs range from ₹200,000 (simple chatbot) to ₹75,000,000+ (enterprise AI platforms), ChatGPT chatbot integration ₹300,000-₹1,500,000 with API costs ₹4,000-₹200,000/month, computer vision ₹800,000-₹3,000,000, predictive analytics ₹500,000-₹2,500,000. Explore our AI-powered web applications or intelligent mobile apps.

Whether you need ChatGPT FAQ bot handling 80% of customer queries, predictive ML models for sales forecasting with 90%+ accuracy, computer vision defect detection at 99% accuracy reducing waste by 35%, NLP sentiment analysis, fraud detection identifying 95%+ fraudulent transactions, or recommendation engines increasing sales by 30%, we deliver scalable AI solutions using GPT-4o ($2.50/1M tokens), TensorFlow/PyTorch, cloud GPUs (AWS p3 ₹30,000-₹120,000/month), with 2-24 month timelines based on complexity. Contact us for free AI consultation with use case assessment, ROI analysis, technology recommendations, and custom development proposal.

Intelligent AI Solutions

Our AI and machine learning team specializes in developing custom artificial intelligence solutions using ChatGPT API, TensorFlow, and PyTorch that solve complex business challenges. We leverage cutting-edge algorithms and deep learning techniques to create intelligent systems that learn, adapt, and improve over time delivering 95% accuracy and 40% cost reduction.

From natural language processing with BERT for text analysis to computer vision with YOLO for object detection achieving 99% accuracy, predictive analytics with XGBoost for 90%+ forecasting precision to intelligent automation reducing manual work by 60%, we build AI solutions tailored to your industry. Learn about our cloud AI deployment and AI-powered IoT.

Whether you need ChatGPT chatbot for 24/7 customer service handling 80% of queries (costs ₹300,000-₹1,500,000), predictive models for demand forecasting reducing inventory by 30%, or computer vision for quality control detecting defects at 99% accuracy, we implement AI delivering measurable ROI with 2-24 month timelines and ₹200,000-₹75,000,000+ investment based on complexity.

50+ AI Models Deployed
95% Model Accuracy
40% Cost Reduction
24/7 AI Monitoring

Our AI Development Features

Comprehensive artificial intelligence and machine learning solutions designed to automate processes and drive intelligent decision-making.

AI Chatbots & ChatGPT

Intelligent conversational AI using ChatGPT API (GPT-4o, GPT-5) with natural language processing, multi-language support (50+ languages), context retention, sentiment analysis, intent classification, 24/7 customer service automation handling 80% of queries, integration with CRM/databases, voice support, costs ₹300,000-₹3,500,000, API ₹4,000-₹200,000/month.

Predictive Analytics & Forecasting

Machine learning models using XGBoost, LightGBM, Prophet for sales forecasting with 90%+ accuracy, demand prediction reducing inventory by 30%, customer churn prediction, fraud detection identifying 95%+ fraud, risk assessment, time series analysis, anomaly detection, business intelligence dashboards, costs ₹500,000-₹2,500,000, ROI through improved decisions.

Computer Vision & Image Recognition

Image and video analysis using OpenCV, YOLO, Mask R-CNN, TensorFlow for object detection at 99% accuracy, facial recognition, quality control defect detection reducing waste by 35%, OCR (Optical Character Recognition), medical image analysis, video analytics, autonomous systems, costs ₹800,000-₹3,000,000, 30-50% quality improvement.

Natural Language Processing (NLP)

Text analysis using BERT, T5, spaCy, NLTK for sentiment analysis with 92%+ accuracy, named entity recognition (NER), topic modeling, document summarization, language translation, semantic search, text classification, content generation, chatbot understanding, text-to-speech, speech-to-text, costs ₹400,000-₹2,000,000 for custom NLP systems.

Intelligent Process Automation (IPA)

AI-powered automation combining RPA with machine learning for document processing with 95% accuracy, invoice extraction, email automation, workflow optimization reducing manual work by 60%, data entry automation, form processing, intelligent routing, decision automation, costs ₹600,000-₹3,000,000, ROI 12-18 months through labor cost savings.

Recommendation Systems

Personalized recommendation engines using collaborative filtering, content-based filtering, hybrid models for e-commerce product recommendations increasing sales by 25-35%, content platform recommendations, personalized marketing, Netflix-style recommendations, dynamic pricing, customer segmentation, costs ₹800,000-₹3,000,000, 30% higher conversion rates.

AI Technologies We Use

We work with cutting-edge AI frameworks, libraries, and platforms to deliver robust and scalable artificial intelligence solutions.

TensorFlow

Production ML framework Keras

PyTorch

Research deep learning platform

Scikit-learn

Traditional ML algorithms

AWS SageMaker

Cloud ML platform training

Google AI Platform

ML infrastructure Vertex AI

Apache Spark

Big data ML processing

Jupyter

Data science notebooks

OpenAI API

ChatGPT GPT-4 GPT-5 integration

Our AI Development Process

A systematic approach to AI development that ensures successful implementation and measurable business impact.

1

Problem Definition & Use Case

Understanding business challenges and defining AI use cases with clear success metrics (accuracy targets, ROI projections), feasibility study, data audit assessing availability and quality, technology stack selection (TensorFlow/PyTorch, cloud platform), timeline and budget planning with 2-4 weeks discovery phase.

2

Data Collection & Preparation

Gathering data from databases, APIs, web scraping, sensors (often longest phase 4-12 weeks), data cleaning removing duplicates and outliers, handling missing values, data labeling for supervised learning (10,000-100,000+ examples), feature engineering, data augmentation, train/test split, exploratory data analysis with visualizations.

3

Model Development & Training

Designing ML architecture selecting appropriate algorithms (neural networks, gradient boosting, transformers), model training using TensorFlow/PyTorch on GPUs (AWS p3 instances ₹30,000-₹120,000/month), hyperparameter tuning with grid search/random search, cross-validation, ensemble methods, transfer learning, 2-15 months based on complexity.

4

Testing & Validation

Rigorous model accuracy testing on validation set targeting 90-95%+ accuracy, A/B testing against baseline, bias and fairness evaluation, robustness testing with edge cases, performance optimization for inference speed, integration testing with existing systems, security testing, 2-6 weeks validation ensuring production readiness.

5

Deployment to Production

Deploying AI models to production using Docker containers, Kubernetes orchestration, API development for model serving (REST/gRPC), scalability setup with load balancing and auto-scaling, monitoring infrastructure (Prometheus, Grafana), CI/CD pipeline for model updates, documentation, 3-8 weeks deployment with 99.9% uptime SLA.

6

Monitoring & Continuous Improvement

24/7 model monitoring for drift detection, performance tracking, real-time alerting for anomalies, periodic model retraining on new data (quarterly/bi-annually), A/B testing improvements, user feedback integration, optimization reducing inference latency, ongoing support ₹100,000-₹500,000/quarter ensuring sustained 95%+ accuracy and business value.

Recent AI Projects

Explore some of our latest artificial intelligence and machine learning projects that showcase our expertise and innovation.

ChatGPT Customer Service Bot

Intelligent chatbot using ChatGPT-4o API with natural language processing for automated customer support, handling 85% of queries without human intervention, multi-language support, sentiment analysis, CRM integration, reducing support costs by 65% and achieving 92% customer satisfaction.

ChatGPT NLP API

Predictive Analytics Platform

Machine learning platform using XGBoost and Prophet for sales forecasting with 93% accuracy, demand prediction, inventory optimization reducing overstock by 35%, real-time data processing, interactive dashboards, automated retraining, delivering $2M annual savings through improved inventory management.

ML XGBoost AWS

Computer Vision Quality Control

Image recognition system using YOLO and TensorFlow for automated defect detection in manufacturing with 99.2% accuracy, real-time processing at 60 FPS, object classification, anomaly detection, reducing manual inspection time by 80%, waste reduction by 40%, and improving product quality by 50%.

Computer Vision YOLO TensorFlow

Frequently Asked Questions

What AI and machine learning services does Breeur Solutions provide?

Breeur Solutions offers comprehensive AI and machine learning services including AI Chatbot Development using ChatGPT API (GPT-4, GPT-4o, GPT-5), custom NLP models with BERT, T5, LLaMA, Rasa, DialogFlow for customer service automation, lead qualification, FAQ bots, voice assistants, multi-language support (50+ languages), sentiment analysis, context retention; Machine Learning Model Development using TensorFlow, PyTorch, Scikit-learn for supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), reinforcement learning, deep learning neural networks (CNN, RNN, LSTM, Transformer); Computer Vision Solutions with OpenCV, YOLO, Mask R-CNN for image classification, object detection, facial recognition, OCR (Optical Character Recognition), video analytics, defect detection for quality control, medical image analysis; Natural Language Processing (NLP) with spaCy, NLTK for text classification, named entity recognition (NER), topic modeling, document summarization, language translation, semantic search, text generation; Predictive Analytics with XGBoost, LightGBM, Prophet for sales forecasting, demand prediction, customer churn prediction, fraud detection, risk assessment, time series analysis, anomaly detection; Intelligent Process Automation with RPA (UiPath, Automation Anywhere) + AI for document processing, invoice extraction, email automation, workflow optimization, data entry automation; Recommendation Systems with collaborative filtering, content-based filtering, hybrid recommenders for e-commerce product recommendations, content recommendations, personalized marketing; Generative AI with Stable Diffusion, DALL-E, Midjourney API for content creation, image generation, creative automation. We've deployed 50+ AI models with 95% average accuracy and 40% cost reduction for businesses.

How much does AI and ML development cost in India?

AI and machine learning development costs in India vary by complexity and scope. Simple AI applications (rule-based chatbots, basic ML models, simple NLP) cost ₹200,000-₹600,000 ($2,400-$7,200) including requirement analysis, data collection (1,000-10,000 records), basic model training, simple integration, deployment, 2-4 months timeline with 2-3 developers. Mid-range AI solutions (ChatGPT integration chatbot, predictive analytics, computer vision POC, NLP text analysis) cost ₹600,000-₹2,000,000 ($7,200-$24,000) including custom NLP models, training on 50,000-100,000 records, API integration, backend development, real-time inference, monitoring dashboards, 4-8 months with 3-5 AI engineers. Advanced ML systems (deep learning models, custom computer vision, enterprise AI platforms, recommendation engines) cost ₹2,000,000-₹5,000,000 ($24,000-$60,000) including complex neural network architecture, large dataset training (500,000+ records), GPU cloud infrastructure, model optimization, A/B testing, production deployment with scaling, 8-15 months with 5-8 specialists. Enterprise AI solutions (large-scale ML platforms, multi-model systems, AI-powered automation, custom LLMs) cost ₹5,000,000-₹75,000,000+ ($60,000-$900,000+) including multiple AI models, big data pipeline, real-time processing, enterprise integration, security and compliance, ongoing model retraining, 12-24 months with 10+ team. Specific AI services: ChatGPT chatbot integration ₹300,000-₹1,500,000 (simple FAQ bot ₹300,000-₹600,000, advanced conversational AI ₹1,000,000-₹1,500,000), Computer vision ₹800,000-₹3,000,000, Predictive analytics ₹500,000-₹2,500,000, NLP text analysis ₹400,000-₹2,000,000. Ongoing costs include ChatGPT API $0.012/1K prompt tokens + $0.024/1K completion tokens (₹4,000-₹120,000/month for mid-sized app), Cloud GPU (AWS p3.2xlarge ₹30,000/month, p3.8xlarge ₹120,000/month), Model retraining ₹100,000-₹500,000/quarter, Support and maintenance 15-20% of development cost annually. Development rates in India: Junior ML engineer ₹1,500-₹2,500/hour, Senior ML engineer ₹3,000-₹5,000/hour, AI architect ₹5,000-₹8,000/hour vs US rates $100-$200/hour.

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