Meteo- logic company presentation


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Meteo- logic company presentation

  1. 1. Company Presentation September 2012
  2. 2. The CompanyEstablished in 2011, 12 employees, Located in Ramot –Hashavim Israel – Igal Zivoni: Founder and CEO More than 20 years of Significant international experience holding senior executive and leader position in the high- tech industry. Prior to founding, Meteo-Logic, Igal was founder of several Internet ventures – Olivier Attali: VP sales and business development More than 15 years of international experience in sales & marketing, business development, strategy & management positions with excellent track records in several leading high-tech companies – Nir Kalkstein : Algorithm Expert world renowned expert in the field of algorithmic prediction and data mining. Founder of “Medial Research” a research institute that has pioneered the field of algorithmic analysis of medical data – Dr. Baruch Ziv: Senior Advisor A veteran synoptic meteorologist with over 20 years of experience in research & teaching. He has been a senior lecturer in the Tel Aviv University, the Hebrew University of Jerusalem and the Open University for more than two decades, teaching applied meteorology, air pollution & agro-meteorology – Danny Deutsch: Professional Advisor Danny Deutsch is a veteran meteorologist with over 14 years of experience in the field of weather forecasting. He has been the TV weatherman of Israel’s most viewed news program on Channel 2 for seven years. Danny served in the past as a meteorology officer in the Israeli Air force All rights reserved, Meteo-Logic 2012
  3. 3. Strategy in a Nutshell Mission Statement Meteo-Logic is revolutionizing the weather forecast market with a unique solution providing accurate weather forecast to the pointUVPs: – Accurate weather forecast • Precise location with any type of topology - Forecasting To the Point • Precise time resolution: per hour – Full Availability supplied by online service • 4 updates during 24 hours – The most cost effective solutionMarket – Focus on Professionals and Semi-professionals All rights reserved, Meteo-Logic 2012
  4. 4. Target Market• Energy – Renewable Energy – Electricity companies• Agriculture• Government – Defense, Security, Risk management – Municipalities & Smart City – Environmental & Green – Water Authority• Transportation – Aviation – Airport, Seaport, Marine• Media• Others: – Leisure , Insurance, Construction, Outdoor events, Production… All rights reserved, Meteo-Logic 2012
  5. 5. Concept & Technology• Meteo-Logic’s innovative technology offers an automated solution to the problem of connecting the synoptic forecasts at high altitudes with forecasting measured values on the ground.• The flow stems from two primary reasons: – The physics that links the situation at high altitudes with the measured values on the ground are extremely complex, and are dependent on a large number of parameters. – The topography and climate of a specific point are very significant influences on getting accurate values. All rights reserved, Meteo-Logic 2012
  6. 6. Concept & Technology• Meteo-Logics service works in two stages: – The system gets historic data for several years for a specific point. Using this data, the system develops a complex, specific model to link the synoptic situation to the measured values in that specific area over time. This new statistical model is based on specially developed Knn algorithms. – To give a real-time prediction, the system uses the current or forecast synoptic situation, and compares it to the historic synoptic situations previously fed for that area. The algorithm examines similar past synoptic situations and chooses the correct metamorphosis for that particular synoptic situation. All rights reserved, Meteo-Logic 2012
  7. 7. SolutionMeteo-Logic is SAAS platform, built to enable weatherforecasting derived from any weather station around theglobe directly to end users with no human intervention• Accurate forecasting Meteo-Logic brings the most accurate weather forecasting to a specific point, Our algorithm analyze weather data history and generate 5 days hourly forecasting accordingly• High availability As a SAAS service, Meteo-Logic’s forecasting is available to its user on any media, in any place with internet connection (dedicated mobile app is under development)• Competitive pricing Meteo-Logic’s pricing plans are highly attractive, mainly due to the fact that the the human factor is eliminated, we are build for scale and can serve high volume of concurrent users All rights reserved, Meteo-Logic 2012
  8. 8. High level feature set• Access from anywhere• Over 100 active Forecasting Points over Israel, generating ongoing forecasting 24/7• Predict Temperature, Rain, Humidity and Wind• Proprietary ranking system allows to track prediction quality• History analysis per Forecasting Point• Download prediction file for offline use All rights reserved, Meteo-Logic 2012
  9. 9. Product EfficiencySS-factor evaluates the prediction skill with respect to reference forecast (global model) and perfect forecast RMSE RMSE ( ref ) SS RMSE ( perf ) RMSE ( ref )ML prediction perfect prediction Ref. prediction (Global model) SS>0 means that our prediction is better than the reference one and SS=100 means that we have reached the perfect (optimal) accuracy All rights reserved, Meteo-Logic 2012
  10. 10. Product Efficiency Validation of ML against global model (GFS) Region SS-factor S-factor is the ratio between the Coastal Plainnatural STD and the standard error of Mountains the pertinent prediction model Negev Deserttemperature prediction The S-factor for ML is twice large as that of the global model All rights reserved, Meteo-Logic 2012
  11. 11. Product Efficiency Example: Tel-Mond stationMeteo-Logic Prediction vs. MeasuredTemperature Meteo-Logic Prediction vs. Measured Humidity The prediction reflects realistically the daily course of temperature & rel. humidity All rights reserved, Meteo-Logic 2012
  12. 12. Product EfficiencyComparative ranking of the predictions of the global model (GFS) and MLRanges for successful predictionTemperature - 1 CRelative Humidity – 10%Wind speed – 4 m/s Validation for 4 stationsThe rank is the percentage of successful predictions ML rank is higher by 20-30% All rights reserved, Meteo-Logic 2012
  13. 13. Service viewAll rights reserved, Meteo-Logic 2012
  14. 14. Thank You Meteo-Logic