skie.io

About skie.io

Skie.io provides a data science-driven platform for continuous cloud optimization, utilizing AI and machine learning algorithms to analyze resource usage and identify cost-saving opportunities. Organizations can achieve up to 50% reduction in public cloud expenses through automated remediations and a performance-based pricing model that charges only for realized savings.

Skie.io provides a data science-driven platform for continuous cloud optimization, utilizing AI and machine learning algorithms to analyze resource usage and identify cost-saving opportunities. Organizations can achieve up to 50% reduction in public cloud expenses through automated remediations and a performance-based pricing model that charges only for realized savings.

What does skie.io do?

Skie.io provides a data science-driven platform for continuous cloud optimization, utilizing AI and machine learning algorithms to analyze resource usage and identify cost-saving opportunities. Organizations can achieve up to 50% reduction in public cloud expenses through automated remediations and a performance-based pricing model that charges only for realized savings.

Where is skie.io located?

skie.io is based in São Paulo, Brazil.

When was skie.io founded?

skie.io was founded in 2021.

Location
São Paulo, Brazil
Founded
2021
Employees
32 employees

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skie.io

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Executive Summary

Skie.io provides a data science-driven platform for continuous cloud optimization, utilizing AI and machine learning algorithms to analyze resource usage and identify cost-saving opportunities. Organizations can achieve up to 50% reduction in public cloud expenses through automated remediations and a performance-based pricing model that charges only for realized savings.

skie.io700+
Founded 2021 – São Paulo, Brazil

Funding

No funding information available.

Team (30+)

No team information available.

Company Description

Skie.io provides a data science-driven platform for continuous cloud optimization, utilizing AI and machine learning algorithms to analyze resource usage and identify cost-saving opportunities. Organizations can achieve up to 50% reduction in public cloud expenses through automated remediations and a performance-based pricing model that charges only for realized savings.

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