As of September 2026, Latka tracks 3 auto scaling software companies under $1M in annual revenue. They have combined revenues of $735.4K and employ 8 people.
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.
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.
Sorting: Highest -> Lowest
Showing 3 of 3 companies ranked by annual revenue.
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.
Lehi, Utah, United States
Cloud Automation Management Platform delivering Cloud Technology: Simpler | Smarter | Safer
Latka tracks 3 auto scaling software companies under $1M in annual revenue. Together they generate $735.4K in annual revenue and employ 8 people.
CodeVisionary.ai is the largest, with $550K in annual revenue, founded in 2024.
The average auto scaling software company in this list makes $245.1K a year, across 3 companies with reported revenue.
Ranked by annual revenue, the leaders are CodeVisionary.ai, Cloudscalr and Heili.
- 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.
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