1
MontyCloud
Redmond, Washington, United States
MontyCloud is a no-code, autonomous CloudOps platform, helping IT teams optimize, operate, and scale high-value cloud services without increasing headcount.
- Revenue
- $8.6M
- Year founded
- 2018
- Team size
- 81
Top 5 Auto Scaling Software Companies (August 2026)
As of August 2026, Latka tracks 5 auto scaling software companies. They have combined revenues of $15M and employ 136 people. They have raised $739.4K.
Every company below sells auto scaling software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Auto Scaling Software Companies do
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
Top Auto Scaling Software Companies by revenue
Showing 5 of 5 companies ranked by annual revenue.
2
Elastisys
Umea, Sweden
Provider of products and services for scalable and responsive IT systems. The company's products and services for scalable and responsive IT systems extend on decades of internationally leading research in distributed systems, optimum performance computing and autonomous management of virtualized resources, enabling clients to ensure that the application runs cost-efficiently and is responsive at all times.
- Revenue
- $5.6M
- Year founded
- 2011
- Funding
- $739.4K
- Team size
- 47
3
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
- Year founded
- 2024
- Team size
- 5
4
Cloudscalr
Lehi, Utah, United States
Cloud Automation Management Platform delivering Cloud Technology: Simpler | Smarter | Safer
- Revenue
- $97.7K
- Year founded
- 2018
- Team size
- 2
- Revenue
- $87.7K
- Year founded
- 2015
- Team size
- 1
Frequently asked questions about Auto Scaling Software Companies
How many auto scaling software companies are there?
Latka tracks 5 auto scaling software companies with reported revenue. Together they generate $15M in annual revenue and employ 136 people.
Which auto scaling software company is the largest?
MontyCloud is the largest, with $8.6M in annual revenue, founded in 2018.
How much revenue does a typical auto scaling software company make?
The average auto scaling software company in this list makes $3M a year, across 5 companies with reported revenue.
Who are the leading Auto Scaling software vendors?
Ranked by annual revenue, the leaders are MontyCloud, Elastisys, CodeVisionary.ai, Cloudscalr and Heili.
How much funding have auto scaling software companies raised?
The 5 auto scaling software companies tracked here have raised $739.4K in disclosed funding between them.
Related IT Management Software categories
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.