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Top 5 Auto Scaling Software SaaS Companies in May 2026

As of May 2026, there are 5 SaaS companies in Auto Scaling Software. They have combined revenues of $15M and employ 136 people. They have raised $739.4K and serve - customers combined.

Auto Scaling Software is a category of cloud computing tools designed to dynamically adjust computational resources based on real-time workload demands. This software automatically scales resources up or down, optimizing performance and cost efficiency in line with user traffic and data processing requirements. It plays a crucial role in managing application workloads in cloud environments, ensuring that applications remain responsive and resource expenditures are minimized.

Companies
5
Revenue
$15M
Funding
$739.4K
Employees
136

Filters

Sorting: Highest -> Lowest

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Top Auto Scaling Software Companies

Showing 10 of 3 companies ranked by annual revenue.

1
CodeVisionary.ai

Israel

Codevisionary. ai identifies inefficient code patterns in over 50 programming languages to reduce *code-level* computational waste which lead to unnecessary cloud spending and performance issues. Thus allowing safe down-scaling and cost reduction on-top-of existing cloud cost optimization solutions.

Revenue
$550K
Customers
-
Year founded
2024
Funding
-
Team size
5
Growth
-
2
Cloudscalr

Lehi, Utah, United States

Cloud Automation Management Platform delivering Cloud Technology: Simpler | Smarter | Safer

Revenue
$97.7K
Customers
-
Year founded
2018
Funding
-
Team size
2
Growth
26.5%
3
Heili

Berlin, Germany

Heili is a self-learning, AI-driven cloud infrastructure management solution

Revenue
$87.7K
Customers
-
Year founded
2015
Funding
-
Team size
1
Growth
-

Inclusion Criteria

- Must enable automatic adjustment of resources in response to varying system loads. - Should support integration with cloud service providers for seamless scaling. - Must provide monitoring capabilities to analyze resource usage and performance metrics. - Should allow for configuration of scaling policies based on predefined thresholds or metrics. - Not just a pricing model tool; must also include real-time resource allocation functionality. - Must cater to a wide range of applications, including web services and data processing tasks.