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CAMO Software - Multivariate Analysis and Design of Experiments Software

We at CAMO Software deliver multivariate software and solutions for analyzing large, complex data sets quickly, easily and accurately. World-leading organizations rely on our solutions to get deeper insights, understand processes and make better predictions from their data.

Established in 1984, we are pioneers and leaders in the field of multivariate data analysis. Our software and solutions are used by our clients to:

  • Develop better products, faster and more cost effectively
  • Monitor and improve product and service quality
  • Optimize customer segmentation and identify unmet gaps in the market
  • Reduce energy use and other operating costs
  • Monitor processes with early-warning of faults or deviations
  • Make better predictions and forecasts based on historic data

Our clients span a broad cross-section of industry sectors, including life sciences, manufacturing, agriculture, oil and gas, mining, high technology and more. Today, as more and more businesses look to get a competitive advantage from their data, multivariate analysis technology is being used by an even more diverse range of industries including advertising, banking and finance, insurance, retail, telecommunications, transport and logistics.

Our product and service range includes:

  • Leading multivariate analysis and design of experiments software
  • Powerful and flexible process monitoring solutions
  • Analytical engines for integration with third-party scientific instruments
  • Consulting and data analysis services
  • Training courses

Business benefits of advanced multivariate data analysis

Reduced R&D timeframes and costs

  • Less process and equipment failures or shutdowns
  • Improved production efficiency and product quality
  • Faster identification of raw materials

Example applications of MVA and Design of Experiments (DOE):

Oil & Gas - Upstream

  • Early fault detection for rotating machinery by multivariate statistical process monitoring.
  • Prediction of multiphase flow composition based on real-time measurements and models on historical data
  • Flow assurance by mapping reported production volumes to predicted values

Oil field services

  • Early fault detection for manifolds, umbilicals, risers and flowlines by multivariate statistical process monitoring
  • Optimise coating for sub-sea equipment to withstand corrosion
  • Speeding up software simulations by use of design of experiments and multivariate methods (metamodelling)

Oil and Gas - Downstream/Petrochemicals

  • Model process analyser data to predict the quality of gasoline fractions as they are being drawn off distillation columns
  • Early detection of potential faults including impurity buildups, column flooding and catalyst fouling
  • Optimise production output from FCC units or other processes to increase yields of final fuel blending base stocks


  • Real-time classification and grading of ore/mineral quality
  • Monitor conveyor belt performance to predict potential breakdowns before they occur
  • More effective use of chemicals for extracting commodities and minimising environmental impacts

Renewable energy

  • Use Designed Experiments to develop more efficient solar cells or wind turbine blades
  • Monitoring of wind turbine performance in real-time for preventative maintenance
  • On-line classification of bio-fuel feedstock grade for faster refinery acceptance and higher yields

Quick facts about CAMO Software

  • Founded in Norway in 1984, with offices in Oslo, New Jersey, Bangalore, Tokyo, Sydney
  • Work with leading oil & gas, petrochemical, mining and renewable energy companies and research institutes
  • Flagship software the Unscrambler® X is used by more than 25,000 people in over 3,000 companies
  • Partner with leading systems and scientific instrument vendors worldwide


Head Office
CAMO Software AS
Olso Science Park
Gaustadalléen 21
0349, Oslo
Tel: (+47) 223 963 00
Email: sales@camo.com

Contact your regional CAMO Software office http://www.camo.com/contact-us.html