Case Study: Maillance accelerates AI production optimization and carbon footprint reduction with INT Software’s IVAAP

Democratizing Machine Learning and AI for Production Optimization and Carbon Footprint Reduction

Maillance, a global oil and gas SaaS company, needed a cloud-native way to visualize diverse machine learning inputs and results for its production optimization and carbon footprint reduction applications. The company wanted a platform that could handle specialized domain data out of the box and be customized easily, without having to build a data visualization solution from scratch, and chose INT Software’s IVAAP platform for the job.

INT Software worked with Maillance to extend IVAAP with automated data processing, cleansing, preparation, and aggregation so users could load, visualize, and prepare data before sending it into Maillance’s predictive algorithms. The result was a fast, end-to-end ML/AI workflow with advanced 2D and 3D visualization, delivered in the cloud and without significant time or cost spent on custom development, while also opening the door to additional future workflows.

Maillance

Jean-Paul Dessap

Chief Executive Officer