Case Study

Transforming Enterprise Search for a Global Oil & Gas Leader

Overview

A Fortune 500 oil and gas enterprise was struggling to modernize its fragmented legacy search systems. With data scattered across multiple platforms and outdated tools like FAST and GSA, the organization faced severe productivity challenges and knowledge-access bottlenecks. Alphaleo helped the enterprise leap into the future of intelligent search through a unified, AI-driven solution.

The Challenge

The organization’s workforce—spanning exploration, engineering, operations, and customer-facing teams—could not reliably find the information they needed.
Key challenges included:

  • Multiple disconnected search tools with inconsistent results
  • Poor relevancy and low accuracy in search outcomes
  • Siloed data across 15+ repositories
  • Increasing operational inefficiencies and costly delays in decision-making

The limitations of legacy systems were directly impacting internal productivity, external customer experience, and strategic initiatives in mining and exploration.

The Solution

Alphaleo deployed its advanced Semantic Hub, a next-generation conceptual search platform designed to unify information at scale.
Our approach included:

  • Integrating 15+ disparate data sources into one intelligent search layer
  • Building custom ingestion pipelines to normalize, enrich, and classify content
  • Applying metadata enhancement and ontology mapping for contextual understanding
  • Enabling “Conceptual Search” that interprets meaning—not just keywords

The Semantic Hub created a standardized, intuitive, and scalable search experience that empowered every user, from field engineers to corporate teams.

Value Delivered

The enterprise replaced a broken legacy ecosystem with a modern, scalable, and intelligent platform that:

  • Eliminated data silos by offering a unified, 360° view of company knowledge
  • Reduced operational overhead across mining and exploration functions
  • Improved search speed, accuracy, and relevancy for thousands of users
  • Enhanced decision-making for internal teams and external partners

The transformation enabled the organization to operate more efficiently and make faster, data-driven decisions—significantly reducing exploration and knowledge-access costs.

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