Kriterion: Detailed Company Information & Corporate Profile

Contact top employees from Kriterion

Summary

The company currently specializes in the Industrial Automation area. The annual revenue of Kriterion varies between 1 and 10M. To connect with Kriterion employee register on SignalHire.

Kriterion Websitekriterion.ai
Social Links
linkedIn
Industries
Kriterion Headquarters address121 Boshoff street, Pretoria, Gauteng, 0181 ZA
Company Size10-50 employees
SpecialtiesIoT, 4IR, Just-in-Time Analytics, Run-to-Failure, Remaining Useful Life, Reinforcement Learning, Prognostic Analytics, Unsupervised Learning, PdM, Cognative Machine Learning, Legacy data conversion
Founded2018
Estimated Annual Revenue$1 - 10M

Workforce Turnover

Length of Employment

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Kriterion's workforce includes employees across a wide range of tenure levels.

11% have been with the company for 1 to 2 years6% have been with the company for 3 to 4 years6% have been with the company for 5 to 7 years11% have been with the company for 8 to 10 years67% have been with the company for more than 11 years
Contact top employees from Kriterion
Dan Luttrell
Dan LuttrellPrecision Engineer
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John Henry Faul
John Henry FaulSoftware Engineer
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Ryan Balshaw
Ryan BalshawAI Scientist
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Graham Van Den Berg
Graham Van Den BergProject Engineer
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Mark Collins
Mark CollinsNon Executive Director
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Joshua Luüs
Joshua LuüsJunior Machine Learning Engineer
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Ruben Grobler
Ruben GroblerAI Scientist
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Bradley Dean Collins
Bradley Dean CollinsDirector of Operations
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Wium Smit
Wium SmitBusiness Analyst and Scrum Master
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Erik Beekman
Erik BeekmanJunior Industrial Engineer
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Nubia Puertas
Nubia PuertasProject Manager
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Wim Booyse
Wim BooyseManaging Director
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Kriterion Corporate Information: FAQ

Kriterion operates in the Cybernation industries. More details can be found on the official website: kriterion.ai.
Kriterion has offices located in Pretoria, ZA.
The headquarters of Kriterion are located in Pretoria, Republic of South Africa.
Kriterion currently employs 10-50 people.
Kriterion's revenue is approximately 7.8M.

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