COMMERCIAL PRESENTATION We collect and analyse historical and - - PowerPoint PPT Presentation

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COMMERCIAL PRESENTATION We collect and analyse historical and - - PowerPoint PPT Presentation

2016 COMMERCIAL PRESENTATION We collect and analyse historical and current data to provide predictive outcomes such as the condition of equipment, predictive probability and outcome verification. Our system can be applied to many industries and


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2016

COMMERCIAL PRESENTATION

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We collect and analyse historical and current data to provide predictive outcomes such as the condition of equipment, predictive probability and outcome verification. Our system can be applied to many industries and used in many formats due to its adaptability.

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OUR TECHNOLOGY

INDUSTRY SYSTEM APPLICATION BENEFITS Oil & Gas Pipelines, pump stations, auxiliary equipment

  • Predict the future state of equipment
  • Predict actual maintenance requirement
  • Eliminate unnecessary maintenance
  • Reduce downtime
  • Reduce maintenance Capex
  • Improve time & cost management

Power generation Turbines, mechanical equipment, auxiliary equipment Transport Rail, transport systems, management systems Law Enforcement & Military Surveillance, asset protection (refineries, pipelines, etc.), anti-terror systems, internet monitoring

  • Reduce time to search suspect/target
  • Identify human skin from objects
  • Sensor-based detection data anlaysis
  • Rapid screening of camera/satellite

images

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Indalyz had been established to commercialise in excess of 10 years of research into state of the art self-learning non-linear forecasting solutions providing leading edge forecasting to the financial & commodity trading markets as well as condition response management industries.

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THE COMPANY

 10+ years research & development  System back-tested over 12+ years and on-going  Experienced team  Successfully formed commercial partnerships  Extensive mathematical techniques applied via top research in theoretical physics  Products tested and tried with industrial companies and financial institutions  Added-value product ready for market launch  Expanding marketing regions: Middle East, Europe, Central/East Asia & Americas

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BOARD AND MANAGEMENT STRUCTURE

ROGER PHILIPP Chairman INTERNATIONAL SCIENCE & BUSINESS ADVISORY BOARD MANAGEMENT OLIVER MEIER Managing Director

  • DR. MICHAEL

HALLS MOORE CTO ANJAM BUTT COO ROGER PHILIPP CEO YOSHIHIKO KASHIMA GONCALO VAZ PINTO (PARTNER) ANJAM BUTT OLIVER MEIER

  • DR. GERALD

POGUE VOLKER MÜLLER (PARTNER) HANS- JOACHIM GUENTHER

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PRODUCTS & APPLICATIONS

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pTec is the principal algorithm that is used for condition monitoring. This is a self-learning, non-linear

algorithm, that assimilates large amounts of data from sensors placed at strategic points within critical equipment of gas/wind/hydro turbines, pipelines, refineries or trains and many more, while being able to forecast the time to failure of its various component parts.

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INDUSTRIAL APPLICATION

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pSec is a data analysis program that processes data coming from third party fiber optic cable sensors as well as

seismic sensors used for intrusion detection deployed around strategic assets whether it be pipelines, refineries, power generation assets or other critical infrastructure.

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ASSET SECURITY APPLICATION

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corDetect utilises proprietary software for skin detection that can be applied to conventional camera images

in order to identify target skin tone from a complex environment image which will assist law enforcement agencies to narrow down their target options.

nuDetect uses skin detection technology software in order to analyse millions of internet data flow content to

expose pornographic content and to immediately prohibit the flow of such data based on government policies,

  • r to narrow down scanning of illegal underage content.

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LAW ENFORCEMENT APPLICATION

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pDec is a binary decision analysis software that incorporates a self learning algorithm that has widespread use

in industries such as insurance fraud detection, medicine and drug therapy, leasing, crime and other uses where a typical “yes” or “no” answer is required from a relatively small training data set.

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FRAUD DETECTION APPLICATION

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pSci has been developed as a core forecasting algorithm to provide forecasts for third party hedge funds based

  • n their trading rules.

pCom uses a self-learning algorithm that uses information contained within the forward curves to forecast

future commodity prices.

pMon is for electronic exchanges around the world to guard against so called “mad machines” that have lead to

market disturbances on several exchanges.

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FINANCIAL APPLICATION

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We have entered into several production negotiations and testing engagements with some of the leading companies in their respective sectors. We will continue to work with existing and develop new engagements to deploy our products and services while furthering our technical abilities.

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PARTNERS

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Tel: +41 41 743 07 28 Fax: +41 41 743 07 33 Riedstrasse 7 6330 Cham Switzerland eMail:getinfo@indalyz.com Web: www.indalyz.com

Disclaimer: The material and information contained in this material is for general information purposes

  • nly. You should not rely upon the material or

information in this document as a basis for making any business, legal or any other

  • decisions. Whilst we endeavour to keep the

information up to date and correct, Indalyz AG makes no representations or warranties of any kind, express or implied about the completeness, accuracy, reliability, suitability

  • r availability with respect to the document or

the information, products, services or related graphics contained in the document for any

  • purpose. Any reliance you place on such

material is therefore strictly at your own risk. To the extent not prohibited by law, in no circumstances shall Indalyz AG be liable to you

  • r any other third parties for any loss or

damage (including, without limitation, damage for loss of business or loss of profits) arising directly or indirectly from your use of or inability to use, this document or any of the material contained in it.