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AI That Works in the Real World, Not Just Demos

Most AI projects fail not because of bad models, but because of bad integration. At Owdoz, we build AI and machine learning solutions that connect directly to your business workflows — not standalone demos that never reach production. Our team has deployed AI systems in healthcare, logistics, retail, finance, and manufacturing for clients across India, Oman, and Saudi Arabia.

We work with OpenAI, Google Gemini, Anthropic Claude, and open-source models including LLaMA and Mistral. We build what fits your data privacy requirements, budget, and timeline — not what is trending on tech news.

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Our AI & Machine Learning Capabilities

Predictive Analytics

Demand forecasting, churn prediction, fraud detection, and sales forecasting models trained on your historical data and deployed into your existing dashboards.

Computer Vision

Object detection, OCR, document parsing, quality control inspection, and facial recognition systems for manufacturing, healthcare, and logistics.

NLP & Text AI

Sentiment analysis, document classification, automated summarisation, chatbot training, and multilingual NLP for English, Hindi, and Malayalam.

LLM Integration

ChatGPT, Gemini, and Claude API integrations with your products — AI assistants, copilots, automated content generation, and RAG-based knowledge systems.

AI Solutions We Build

AI Chatbots & Virtual Assistants

LLM-powered chatbots trained on your product documentation, FAQs, and business knowledge — deployed on your website, WhatsApp, or internal tools to handle customer queries 24/7.

RAG Systems & Knowledge Bases

Retrieval-Augmented Generation (RAG) systems that let your team query internal documents, policies, and databases using natural language — with cited, accurate answers.

ML Model Development & Deployment

Custom ML models built with Python (scikit-learn, TensorFlow, PyTorch), trained on your data, evaluated rigorously, and deployed as APIs your applications can call.

AI Process Automation

Automate document processing, email triage, invoice extraction, and approval workflows using AI — reducing manual effort by 60–80% in operations teams.

Frequently Asked Questions

In 2026, Indian businesses are using AI for customer service automation (chatbots handling 70%+ of queries), demand forecasting in retail and logistics, AI-assisted coding in software teams, document processing automation in banking and insurance, and AI-powered marketing personalisation. The businesses seeing the most ROI are those applying AI to specific, measurable problems rather than broad “AI transformation” projects.

RAG (Retrieval-Augmented Generation) combines a large language model with a search system over your private documents. Instead of the AI making up answers, it retrieves relevant information from your actual knowledge base before generating a response. This means your AI assistant gives accurate, cited answers based on your company’s real data — not generic LLM hallucinations. Essential for customer support, HR Q&A, and internal documentation tools.

A simple LLM chatbot integration starts at ₹30,000–₹80,000. A custom ML model (data preparation, training, evaluation, deployment) typically costs ₹1,50,000–₹5,00,000 depending on data complexity. A full AI-powered product feature (RAG system, computer vision pipeline, predictive analytics dashboard) ranges from ₹3,00,000 to ₹15,00,000+. Owdoz provides scoped quotes after understanding your data and use case.

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