Secure Offline AI for Energy | Tech Mahindra & Intel

Overview

A leading global energy company needed an AI-powered document search solution to efficiently go through sensitive technical files without compromising security. Tech Mahindra and Intel delivered a fully offline intelligent search solution running locally on Intel® Core™ Ultra processors with Intel® Arc™ Graphics.

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A leading global energy company needed an AI-powered document search solution to efficiently go through sensitive technical files without compromising security. Tech Mahindra and Intel delivered a fully offline intelligent search solution running locally on Intel® Core™ Ultra processors with Intel® Arc™ Graphics.

This ensured 100% data privacy, 75% reduction in search time, 10-15 hours reclaimed per user weekly, zero ongoing cloud costs, 90% information retrieval accuracy, and 350% projected three-year ROI. Our solution proved that enterprise-grade AI can operate entirely on premises.

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Client Background and Challenges

Traditional cloud-based AI solutions posed unacceptable security risks for an organization managing proprietary technical documentation, engineering specifications, and confidential communications. Our client, a leading energy company, one of the world’s largest, wanted to enable AI-powered knowledge search across sensitive documents while maintaining absolute confidentiality.

Local AI Architecture with Small Language Models

All processing occurs locally on the laptops. Documents never leave the organization.

Solution

Fully offline intelligent system powered by Intel® Core™ Ultra processors, vector database, and optimized language model. Zero cloud connectivity required

Technology

Combining open-source language models optimized for Intel hardware and running on Intel® Core™ Ultra processors with integrated Intel® Arc™ Graphics

Performance

Up to 50% cost reduction in document review processes and up to 75% reduction in time spent searching for information

Business and Community Impact

  • 75% reduction in information search time, reclaiming 10-15 hours per user weekly
  • Zero ongoing cloud costs—savings of ~200 $ per user monthly versus cloud solutions
  • 100% data privacy with all processing on local workstations, zero external transmission
  • 90% of information retrieval accuracy across diverse document formats
  • 350% projected three-year ROI for knowledge-intensive organizations