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LLM Applications That Go Beyond Simple Chatbots

Large Language Models have moved from experiment to essential business tool. At Owdoz, we build LLM-powered applications that go beyond a basic chatbot — AI copilots that assist your team, RAG systems that surface knowledge from your documents, automated pipelines that process unstructured data at scale, and multi-agent systems that complete complex tasks autonomously.

We work with GPT-4o, Claude 3.5, Gemini 1.5 Pro, LLaMA 3, and Mistral — choosing the right model for your data privacy requirements, latency needs, and budget. Every system we build is production-ready, monitored, and maintainable by your team after handover.

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LLM Solutions We Build

RAG Knowledge Systems

Query your company’s documents, manuals, and databases in plain English and get accurate, cited answers. Works with PDFs, Word docs, databases, and web pages.

AI Copilots

In-product AI assistants that help your users write, analyse, summarise, and decide faster — embedded directly in your web app or mobile app.

Multi-Agent Systems

Autonomous AI agents that break complex tasks into steps, call tools and APIs, and complete workflows — from data research to report generation — without human intervention.

Fine-Tuning & Custom Models

Fine-tune open-source models (LLaMA, Mistral) on your domain-specific data for tasks that require deep specialisation — medical coding, legal analysis, technical support.

LLM Integration Services

ChatGPT / OpenAI API Integration

Integrate GPT-4o into your website, app, or internal tools with proper prompt engineering, context management, streaming responses, and cost optimisation.

WhatsApp AI Chatbot

LLM-powered WhatsApp bot via the Business API — handles customer queries, lead qualification, appointment booking, and order status 24/7 in English and Malayalam.

Document Intelligence

Extract structured data from invoices, contracts, medical records, and forms automatically using LLMs — eliminating manual data entry at scale.

LLM Evaluation & Safety

Systematic evaluation of LLM outputs for accuracy, hallucination rates, and safety — including guardrails, content filtering, and monitoring dashboards for production systems.

Frequently Asked Questions

A Large Language Model (LLM) is an AI system trained on vast amounts of text data that can understand and generate human language. Examples include ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), and LLaMA (Meta). Businesses use LLMs to build intelligent chatbots, automate document processing, summarise reports, generate content, and create AI-powered features in their products.

OpenAI’s API does not use your data for training by default. For sensitive data (patient records, financial data, legal documents), we recommend using self-hosted open-source models (LLaMA, Mistral) on your own infrastructure. Owdoz designs LLM architectures that match your data privacy and regulatory requirements — including on-premise deployment for enterprises with strict compliance needs.

Google’s AI Overviews (SGE) pulls answers directly from web pages that have clear, factual, well-structured content with proper schema markup. In 2026, pages that get cited in AI Overviews have significantly higher brand visibility even without a traditional click. To be cited: write direct answers to specific questions, add FAQPage schema, demonstrate expertise with real data and author credentials, and maintain high E-E-A-T signals. Owdoz optimises all client sites specifically for AI search citation.

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Free consultation — we will design the right LLM architecture for your use case.

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