Case Studies

Optimizing Helicopter Transportation to Oil Rigs

A major logistical problem in the Oil and Gas industry is scheduling helicopters to transport its employees to offshore drilling platforms. MemComputing delivers a solution that addresses the problem at scale and provides significant cost savings.

Optimizing Helicopter Transportation to Oil Rigs

Aircraft Cargo Loading Optimization Case Study

A major operational planning problem in the air cargo industry is how to arrange cargo in an aircraft to fly safely and profitably. MemComputing proposes an innovative solution to solve this challenge efficiently.

Aircraft Cargo Loading Optimization Case Study

Canvass Labs

Canvass Labs is automating code audits so companies can accurately identify the open source code within their products. In transforming this manual and time-consuming process to a rapid and systematic approach, Canvass Labs found their need for computational optimization far outstripped today’s hardware capabilities.

Canvass Labs

PSA – Port of Singapore

PSA Singapore, operates the world’s largest container transhipment hub. PSA’s core business in Singapore is transhipment, transferring containers from one vessel to another vessel bound for its final destination.

PSA – Port of Singapore

Video Case Studies

Solving the F2000 Problem

This video shows how our Virtual MemComputing Machine solves the F2000 problem, a well known intractable computational benchmark from the Mixed Integer Programming Library. The problem was first introduced in 2010 and went unsolved for years. MemComputing was the first to solve this problem in 2019 and continues to find better solutions as our system advances.