As of September 2026, Latka tracks 10 peer code review software companies under $1M in annual revenue. They have combined revenues of $5.1M and employ 49 people. They serve 500 customers combined.
Every company below sells peer code review 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.
Peer code review software facilitates the process of examining and evaluating code written by developers within a team. This type of software is primarily used to enhance code quality, identify bugs, and ensure adherence to coding standards by enabling collaborative reviews among peers. The typical workflow involves developers submitting their code changes which are then reviewed by colleagues, allowing for constructive feedback and knowledge sharing.
Sorting: Highest -> Lowest
Showing 10 of 10 companies ranked by annual revenue.
San Francisco, California, United States
Entelligence.AI is an artificial intelligence platform designed to tackle inefficiencies in large engineering teams. It focuses on streamlining tasks outside of coding, such as onboarding, planning, and code reviews. The platform uses AI to help engineers quickly navigate complex systems, reduce time to productivity, and unify context from various sources like pull requests and documentation.
United States
Automated Code Review for Web & Mobile. codebeat gathers the results of static code analysis into a single, real-time report that gives all project stakeholders the information required to identify code smells, security holes and improve code quality.
Fort Lauderdale, Florida, United States
Over 40% of AI-generated code contains issues. kluster.ai automatically reviews and fixes code in real-time as AI writes it, instantly correcting bugs, preventing security vulnerabilities, and fixing logic errors right in your favorite IDE.
London, England, United Kingdom
Never wait for a code review again Instantly review your code in IDE, CI or GitHub with our AI review tool - https://sourcery.ai/code-review
United States
Codean is a code review platform for security experts that provides a collaborative application security review environment for teams. Our cutting-edge platform empowers security experts with a single, comprehensive toolset designed to effortlessly identify and report vulnerabilities, annotate source code, and efficiently record and share security knowledge across their team.
London, United Kingdom
Merge PRs up to 5x faster with context-aware AI code reviews. Codoki delivers context-aware AI code reviews that understand your business domain, architecture, and team standards. Every pull request gets one structured review with high-signal feedback — highlighting real issues while reducing noise. By combining...
Munich, Bayern, Germany
CodeSubmit is the first git-based solution for administering and evaluating coding assignments and technical interviews, allowing for unparalleled competency insights and a completely natural candidate experience. Our process is remote-friendly, asynchronous, and completely customizable, supporting over 50 of the most popular frontend, backend and mobile languages, frameworks, and technologies.
Latka tracks 10 peer code review software companies under $1M in annual revenue. Together they generate $5.1M in annual revenue and employ 49 people.
Entelligence.AI is the largest, with $880K in annual revenue.
The average peer code review software company in this list makes $508.5K a year, across 10 companies with reported revenue. They serve 500 customers combined.
Ranked by annual revenue, the leaders are Entelligence.AI, CODEBEAT, kluster.ai, Sourcery and Codean.
- The software must enable multiple developers to review and comment on code changes. - It should provide functionalities for inline commenting and discussion threads related to specific code sections. - The tool must support version control integration to track code changes effectively. - It should include features for approval and merging to help manage the code submission process. - Not just for code review; must also facilitate code analysis to identify potential bugs or vulnerabilities.
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