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AI Solutions for Industries

AI Solutions tailored solving real business problems and reshaping key industry verticals.

At CodeEpsilon, we bring cutting-edge AI technologies like LLMs, RAG, Agentic AI, Embedding Search, Knowledge Graphs, and OCR+NLP into real-world use. Our AI offerings are tailored for specific industries — enabling automation, personalization, search intelligence, decision-making, and more. Explore how AI is reshaping key sectors below.

Manufacturing

AI in manufacturing enables predictive maintenance, visual defect detection, and workflow automation — reducing downtime, improving output quality, and enhancing safety.

Technical Manual Q&A

This system uses RAG to provide on-the-spot answers to technician questions directly from equipment manuals.

Predictive Maintenance

Powered by Agentic AI, this tool forecasts equipment failure based on sensor data, logs, and patterns.

Defect Detection from Images

Combining Computer Vision (CV) + LLM, this application identifies product defects from photos during or after production.

Process Automation

Using Agent-Based AI, this solution guides humans or robots through production workflows and decision points.

Why Choose CodeEpsilon for AI Solutions?

At CodeEpsilon, we don’t just build AI tools – we build AI that solves real business problems.

01.

Domain-Specific Expertise

We tailor solutions for your industry – not generic one-size-fits-all AI.

02.

Full-Cycle Delivery

From use-case discovery and data preparation to development, deployment, and post-launch tuning – we handle it all.

03.

Future-Ready Architecture

We use modular, explainable, and scalable AI components (LLMs, Agentic AI, RAG, etc.) to support evolving needs.

04.

Human-AI Balance

Our solutions are designed to assist humans – not replace them – increasing productivity without compromising control.

05.

Proven Results

Our AI implementations have reduced customer support costs by up to 40%, improved content processing speeds by 80%, and helped clients achieve ROI within 6–9 months of deployment.

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