Showcase" />Showcase" />
HAKOM is the technology leader for time series management in the energy industry. Its technology enables and accelerates innovation.
30 years of excellence: Benefit from outstanding standardised solutions and HAKOM's many years of experience in consulting and support.
The uniquely simple HAKOM time series technology impresses with outstanding performance and full scalability.
Event streaming and Apache Kafka – an energy transition issue.
"We will not solve the climate crisis the day after tomorrow, but today!" (Dr. U. Streibl).
Swissgrid uses HAKOM time series technology for sophisticated calculation processes based on second-by-second data.
Head of Product Development at HAKOM, climber and family man.
Watch trailer now, full length on demand from 8 April 2021.
Private sessions and follow-up online dates.
HAKOM Webinar Thuersday, 11th of March, 2:00 PM (MET) – register now!
The HAKOM 3D-Trust approach and how to create trust.
24.2.2021 – Speziell für StartUps & Software Entwickler.
edna, the German Energy Market & Communication Association, celebrates its 20th anniversary.
Start into 2021 – talks with representatives from the energy industry.
Christmas Greetings from HAKOM – somehow different, as a video.
Register now free of charge for the webinar on 8.10.2020 at 14:00 CEST!
Successful strategy in product management and sales as a booster for the business.
Modelling Disruptive Changes in Energy Consumption Forecasts.
Register now: Thursday, June 25th 2020, 2 p.m. - 2.30 p.m. (MESZ, UTC+2).
Time series and forecast: trends, new developments, use cases and more in a new format.
An interview with Stefan Komornyik, CEO HAKOM Solutions GmbH.
Microgrids, integral part of the energy transition in the near future. A condensed summary.
COVID-19: A crisis as an opportunity for the energy transition. A look into the near future.
The future of human-machine interaction is gesture control. More about trends and technology.
HAKOM performs at E World 2020 Essen – customers exited about new TSM Technology and FeasyUse®.
Human-machine communication using gesture control: challenges of the future. A basic analysis of the technological problems.
Grafana Connector for HAKOM TSM Technology – a new dimension in time series dashboarding.
HAKOM TSM Technology is characterized above all by exceptional performance, unlimited scalability and platform independence.
Experience the HAKOM TSM Time Series Technology at E-World Essen 11th – 13th February.
Wearables, smart watches, shoes, clothing, glasses and more equipped with sensors big data machines of a connected world.
Virtimo AG has been using HAKOM TSM Technology for time series since 2016. The importance of time series has always been clear to the manufacturer of...
The Smart City Barcelona - host of IoT Solutions 2019. FeasyUse® attracting great interest.
5G - breathtaking bandwidth, but that's not all. 5G has much more to offer, technology that opens a new era. A distributed network with the lowest...
Agriculture 4.0, industry 4.0 and logistics 4.0 - a new world of data is emerging. A challenge for all those who work with time series. With FeasyUse®...
Since 2018 Quaternity GmbH has been using HAKOM TSM Technology. It immediately became clear that this would greatly reduce the time to market of their...
Outstanding performance in particularly demanding applications and the same wavelength - these were the factors that convinced Seven2One in the end by...
Since 2009, ProCom GmbH has relied on HAKOM Technology as the basis of its BoFit product portfolio. Since then, it has been able to concentrate on its...
LINZ AG has been using HAKOM TSM Technology and the mP Energy forecasting system since 2008. Measurable advantages are efficient processes and...
Continuity and innovation are HAKOM's strengths – our credo to create values together.
Time Series Technology for professional software development.
HAKOM Time Series GmbH
Lemböckgasse 61 | Stiege 2 | 6.OG
Tel: +43 (1) 8157980-112
Stay up to date with our HAKOM Newsletter!
This project has received funding from the European Union"s Horizon 2020 research and innovation programme under grant agreement No 826712
© 1991 – 2021 HAKOM Time Series GmbH