Logmind became a winner of this year's acceleration program run by EPFL Innovation Park's incubator La Forge and supported by the Office for Economic Affairs and Innovation (SPEI) of Canton of Vaud in Switzerland.
During a four-month acceleration period, 10 data-driven startups were selected for participation. Logmind was recognized among the top 3 startups and became a winner of the program for the progress that we have achieved since fall 2018.
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Logmind brings trust: alerts provide relevant insights and we do not get flooded by them. We can reduce the enormous ambient noise as Logmind always pinpoints the critical solutions.
Solving issues used to be very painful and stressful. Now with Logmind we get notified in real-time about issues and have enough time to act, without spending time digging into log files.
Getting unified visibility and moving from reactive resolution were our key challenges. Logmind helps us adopt a predictive approach. We liked the intuitive interface and the simplicity of getting started.
We had to decide whether to bring in more engineering resources or more intelligence. We decided for the latter with Logmind to save costs and reduce efforts with more intelligence and automation.
Logmind brings trust: alerts provide relevant insights and we do not get flooded by them. We can reduce the enormous ambient noise as Logmind always pinpoints the critical solutions.
Solving issues used to be very painful and stressful. Now with Logmind we get notified in real-time about issues and have enough time to act, without spending time digging into log files.
Getting unified visibility and moving from reactive resolution were our key challenges. Logmind helps us adopt a predictive approach. We liked the intuitive interface and the simplicity of getting started.
We had to decide whether to bring in more engineering resources or more intelligence. We decided for the latter with Logmind to save costs and reduce efforts with more intelligence and automation.
Logmind brings trust: alerts provide relevant insights and we do not get flooded by them. We can reduce the enormous ambient noise as Logmind always pinpoints the critical solutions.
Solving issues used to be very painful and stressful. Now with Logmind we get notified in real-time about issues and have enough time to act, without spending time digging into log files.
Getting unified visibility and moving from reactive resolution were our key challenges. Logmind helps us adopt a predictive approach. We liked the intuitive interface and the simplicity of getting started.
We had to decide whether to bring in more engineering resources or more intelligence. We decided for the latter with Logmind to save costs and reduce efforts with more intelligence and automation.
