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FogHorn Systems

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No market for an edgeAI platform - Sales FogHorn Systems Employee Review

1.0
11 Nov 2025
Recommend
CEO approval
Business outlook

Pros

Edge AI is still a hot topic Clients buy turn-key services

Cons

Offering a proprietary platform and CEP language is an immediate roadblock

Explore other reviews about FogHorn Systems

5.0
10 Jan 2024
Recommend
CEO approval
Business outlook

Pros

Great atmosphere, great team, very good management

Cons

None that I can think of

4.0
24 Oct 2017
Anonymous employee
Recommend
CEO approval
Business outlook

Pros

I'm a computer scientist by training. I specialize in Machine Learning and in my previous life (Ph.D) I tried to develop distributed ML algorithms to predict Earthquakes and Volcanoes. After graduating, I wanted to work on problems with a more significant impact than selling gadgets or getting someone to click on advertisements. I wanted to be involved in something with a deeper impact on society. Foghorn's vision is to develop platform that enables Machines to be intelligent. In future, each machine will have its own "brain" that will enable it to work autonomously. “Foghorn’s vision is to make machines intelligent, and build an eco-system that enables humans to build smarter machines." My team at Foghorn primarily solves industrial scale problems via data science and analytics. My team tackles difficult real world problems in an applied research and development environment. We solve data science problems in different industries like aviation, oil and gas, power, renewables, transportation, and healthcare. I enjoy my work where someday I will be talking to subject matter expert in deep-hole drilling and another day I might be designing experiments to analyze audio/video data on our platform. The work gives me freedom to be creative, autonomous and self-starting. Exciting technology and a great workplace to be in.

Cons

Edge computing is new technology and may take few years to be very popular. It takes a while for me to explain my friends what I am doing. We are solving real industrial problem which may not be fascinating for few people.

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