Our Story

About EIM

EIM has been developing drilling intelligence tools for more than 10 years. What started as a simple operational map has evolved into a full drilling intelligence platform used by Canadian and U.S. operators.

The goal has remained consistent: Provide structured, reliable drilling data that improves operational decisions.

01

How It Started

EIM began as a live map of active oil rigs in Western Canada. At the time, operators needed a clearer view of field activity. The platform provided:

  • Real-time rig visibility
  • Geographic overview of active operations
  • Accessible field-level tracking

It was built to make drilling activity easier to understand.

02

Expanding Into Searchable Data

As user needs evolved, the map expanded into a searchable intelligence layer. Operators could now:

  • Search wells directly on the map
  • Filter by region and basin
  • Access historical drilling data
  • Compare activity across areas

The platform shifted from simple visibility to structured access to operational data.

03

Adding Reporting & Operational Workflows

EIM then expanded into reporting and performance tracking. This included:

  • Daily drilling reports
  • Standardized well-level reporting
  • Cross-well performance comparison
  • Cost tracking visibility
  • Supervisor and project benchmarking

The system moved from being a viewing tool to becoming part of daily drilling operations.

04

Offset Research & Structured Comparisons

The next stage focused on improving offset research. Instead of manually reviewing well files, EIM structured historical data into comparable benchmarks, including:

  • P90 / P75 / P50 drilling curves
  • Planned vs actual comparisons
  • Area-based performance modeling
  • Early performance deviation tracking

This reduced planning time and improved consistency across wells.

05

AI & Data Validation

Today, EIM integrates structured analysis and AI-driven components into the workflow. This includes:

  • Automated offset data structuring
  • Natural language search
  • Machine learning-based data validation
  • Secure model deployment options

Data Quality Assessment (DQA) ensures that drilling inputs are validated before reports are finalized.

Built in Canada

Developed for North American Operators

EIM was built in Western Canada and developed for Canadian and U.S. operators. The platform reflects real operational challenges in North American drilling environments and continues to evolve alongside industry needs.

By the Numbers

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Data Quality Issues Resolved
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Wells Managed
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Years of Drilling Data
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Client Retention

Want to Learn More?

We'd love to show you what EIM can do for your operations.