<style type="text/css" data-type="vc_shortcodes-custom-css">.vc_custom_1643972193456{padding-top: 50px !important;padding-bottom: 65px !important;}</style>{"id":839,"date":"2022-02-04T13:32:36","date_gmt":"2022-02-04T12:32:36","guid":{"rendered":"https:\/\/metalogic.mediapool-muc.de\/about-metalogic\/"},"modified":"2025-05-28T14:06:55","modified_gmt":"2025-05-28T12:06:55","slug":"about-metalogic","status":"publish","type":"page","link":"https:\/\/new.metalogic.de\/en\/about-metalogic\/","title":{"rendered":"About metalogic"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row full_width=&#8221;stretch_row&#8221; el_class=&#8221;schmuck-hg&#8221;][vc_column][vc_column_text]<\/p>\n<h1>About metalogic<\/h1>\n<p>[\/vc_column_text][vc_row_inner css=&#8221;.vc_custom_1630521206469{padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column_inner][vc_column_text css=&#8221;&#8221;]<strong>metalogic<\/strong>, headquartered in Munich, Germany, is a market leader and innovative producer of prediction software and Azure Cloud based managed forecasting services for the Energy industry.<\/p>\n<p>Since its foundation more than 20 years ago <strong>metalogic <\/strong>has concentrated solely on machine learning driven predictive analytics, for delivering high quality forecast results to the energy and utility industry. Today we are perceived as a key player for providing demand, generation, and grid forecasts for power, gas, and district heating. A notable amount of the energy consumed, supplied, and traded in central Europe, UK and Ireland is predicted by mP Energy, <strong>metalogic<\/strong>\u2019s flagship forecasting software.[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3>Key Factors:<\/h3>\n<ul>\n<li>Management owned<\/li>\n<li>Focused solely on energy forecasting \/ high level of expertise<\/li>\n<li>Well established in the market &#8211; First class User references<\/li>\n<li>Best-of-breed technology \/ solution<\/li>\n<li>Multinational Team of expert analysts and programmers<\/li>\n<li>Adhere to a standard product philosophy<\/li>\n<li>Reliable and responsive service<\/li>\n<li>Microsoft Silver Certified ISV and CSP Partner<\/li>\n<\/ul>\n<p><strong>metalogic <\/strong>is constantly improving and further developing its forecasting software solutions not only to uphold its leadership role as a leading-edge technology company but more so to meet the on-going demands of its users plus the energy market and regulatory requirements.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; css=&#8221;.vc_custom_1684310681966{padding-bottom: 0px !important;}&#8221;][vc_column][vc_column_text]<\/p>\n<h2>Customer Testimonials<\/h2>\n<p>[\/vc_column_text][testimonials][testimonial bild=&#8221;706&#8243;]High quality and forecasting speed offer us such important competitive advantages that we were prepared to work with the manufacturer on the definition and development of additional functions. We have now achieved the status of an excellent integration of the mP Energy forecasting solution in our central EDM system.<\/p>\n<div class=\"author\"><span class=\"company-name\"><strong>Mari Pl\u00fcmacher<\/strong>, Wingas GmbH<\/span><\/div>\n<p>[\/testimonial][testimonial bild=&#8221;352&#8243;]For us, the investment in the forecasting solution was amortised very quickly. First of all, there are the savings we incurred by minimising balance energy, a highly crucial factor. Secondly, we now have a highly functional tool available to us within the scope of balancing group management, which we can use and deploy as part of additional service for our customers. Furthermore, we have been using automated sales analysis and planning for a number of months \u2013 a segment that harbours significant optimisation potential, given our overall purchase volume.<\/p>\n<div class=\"author\"><span class=\"company-name\"><strong>Marc-Peter Malerius<\/strong>, Gas-Union GmbH<\/span><\/div>\n<p>[\/testimonial][testimonial bild=&#8221;352&#8243;]We were able to improve our workflows surrounding load forecasting with mP Energy significantly. For us, the major advantages were the high quality of the forecasts as well as the high degree of automation. In the meantime, we have reached the comfortable situation of having effectively minimised our balancing energy costs, as the deviation from the forecasts is extremely low. With a large number of customer load profiles to be forecast, we save a great deal of time with the automation. We also expect to see a further increase in the medium term.<\/p>\n<div class=\"author\"><span class=\"company-name\"><strong>Dominik Schmidt<\/strong>, GASAG AG<\/span><\/div>\n<p>[\/testimonial][\/testimonials][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1643973706376{padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column][vc_column_text]<div class=\"wpb-content-wrapper\"><p>[vc_row css=&#8221;.vc_custom_1643972193456{padding-top: 50px !important;padding-bottom: 65px !important;}&#8221;][vc_column][carousel][carouselitem bild=&#8221;729&#8243;][carouselitem bild=&#8221;731&#8243;][carouselitem bild=&#8221;733&#8243;][carouselitem bild=&#8221;735&#8243;][carouselitem bild=&#8221;6788&#8243;][carouselitem bild=&#8221;737&#8243;][carouselitem bild=&#8221;6320&#8243;][carouselitem bild=&#8221;739&#8243;][carouselitem bild=&#8221;741&#8243;][carouselitem bild=&#8221;6792&#8243;][carouselitem bild=&#8221;6794&#8243;][carouselitem bild=&#8221;743&#8243;][carouselitem bild=&#8221;745&#8243;][carouselitem bild=&#8221;6796&#8243;][carouselitem bild=&#8221;6798&#8243;][carouselitem bild=&#8221;747&#8243; width=&#8221;100&#8243;][carouselitem bild=&#8221;6307&#8243;][carouselitem bild=&#8221;749&#8243;][carouselitem bild=&#8221;751&#8243;][carouselitem bild=&#8221;753&#8243;][\/carousel][\/vc_column][\/vc_row]<\/p>\n<\/div><style type=\"text\/css\" data-type=\"rcb-_wpb_shortcodes_custom_css-773\">.vc_custom_1643972193456{padding-top: 50px !important;padding-bottom: 65px !important;}<\/style>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"About metalogic metalogic, headquartered in Munich, Germany, is a market leader and innovative producer of prediction software and Azure Cloud based managed forecasting services for the Energy industry. Since its foundation more than 20 years ago metalogic has concentrated solely on machine learning driven predictive analytics, for delivering high quality forecast results to the energy [...]","protected":false},"author":14,"featured_media":686,"parent":0,"menu_order":80,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-839","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages\/839","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/comments?post=839"}],"version-history":[{"count":10,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages\/839\/revisions"}],"predecessor-version":[{"id":6708,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/pages\/839\/revisions\/6708"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/media\/686"}],"wp:attachment":[{"href":"https:\/\/new.metalogic.de\/en\/wp-json\/wp\/v2\/media?parent=839"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}