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Facebook Infer is a static analysis tool - if you give Infer some Objective-C, Java, or C code, it produces a list of potential bugs. Anyone can use Infer to intercept critical bugs before they have shipped to people's phones, and help prevent crashes or poor performance.
1,284
companies
We have data on 1,284 companies that use Infer. Our Infer customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
Draper City | United States | Government Administration | 150 | $15M |
Beta Academy | United States | Education | 80 | |
Sei | United States | Financial Services | 4.7K | $2B |
Banjo Health | United States | Software Development | 38 | $3M |
U.S. Army Corps of Engineers | United States | Government Administration | 441K | $16B |
ABBVIE | United States | Pharmaceutical Manufacturing | 51K | $58B |
![]() Thomson Reuters | Canada | Software Development | 34K | $6.6B |
Madison Area Technical College | United States | Education | 2.4K | $4.8M |
Teladoc Health | United States | Hospitals And Health Care | 5.4K | $2.5B |
UBS | Switzerland | Financial Services | 82K | $35B |
Hurricane City | United States | Government Administration | 8 | $3.3M |
Microsoft | United States | Software Development | 233K | $198B |
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Technoloy Usage Stadistics and Market Share
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Infer is used in 35 countries
There are 61 alternatives to Infer
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Infer is a robust technology utilized in the realm of Code Review, offering automated static code analysis tools to enhance the quality and security of software development. By leveraging sophisticated algorithms and machine learning capabilities, Infer allows developers to detect potential bugs, errors, and vulnerabilities in their codebase efficiently. This aids in accelerating the debugging process and ultimately leads to the production of more reliable and secure software products.
The category of Infer falls under Code Review tools, which are instrumental in scrutinizing codebases to ensure adherence to coding standards, identify possible bugs, and enhance overall code quality. In the context of software development, Code Review tools like Infer play a pivotal role in streamlining the development process and minimizing the occurrence of errors that could potentially impact the performance and security of the software.
Infer was founded in 2013 by a group of researchers from the University of Cambridge, led by Professor Margo Seltzer. The motivation behind the creation of Infer stemmed from the need to address the challenges associated with manual code reviews and the inherent limitations in detecting complex programming errors. Since its inception, Infer has garnered significant recognition in the software development community for its cutting-edge approach to static code analysis.
Currently, Infer holds a notable market share within the Code Review tools segment, owing to its advanced capabilities and proven track record in enhancing code quality. With the increasing emphasis on software security and reliability, the demand for tools like Infer is expected to grow significantly in the coming years. As organizations prioritize error-free code and efficient development processes, the market share of Infer is projected to exhibit a positive trajectory, indicating potential growth opportunities in the competitive landscape of Code Review technologies.
Infer is a powerful tool that companies use for Code Review, offering a range of benefits that set it apart from other similar technologies. One major advantage of using Infer is its ability to provide in-depth code analysis, catching even subtle bugs and potential issues early in the development process. Unlike some other tools that may only surface obvious errors, Infer's advanced algorithms can detect complex issues, leading to higher code quality and more robust applications.
Another key benefit of Infer is its seamless integration with various development environments and version control systems. This means that developers can easily incorporate Infer into their existing workflows without major disruptions, enabling smooth adoption and consistent code quality checks throughout the development cycle.
Moreover, Infer offers real-time feedback and suggestions, empowering developers to address issues promptly and efficiently. This proactive approach helps teams maintain code quality standards and prevent potential bugs from escalating into larger problems down the line.
Overall, Infer stands out in the Code Review category for its comprehensive analysis capabilities, seamless integration, and real-time feedback, making it a preferred choice for companies looking to enhance their code quality and streamline their development processes.
Infer is a popular technology tool used by various companies in the field of Code Review to enhance their development processes. Some notable companies leveraging Infer include Facebook, Uber, Airbnb, and Spotify.
Facebook: Facebook utilizes Infer for static code analysis, helping to detect bugs and potential issues in their vast codebase. The social media giant started using Infer in 2015, significantly improving the reliability and efficiency of their software development.
Uber: Uber employs Infer in their development pipeline for identifying and addressing critical issues in their code early in the process. Since adopting Infer in 2016, Uber has seen a reduction in production incidents related to software bugs.
Airbnb: Airbnb integrates Infer into their code review process to automatically identify common programming errors and potential bugs. By implementing Infer in 2017, Airbnb improved the overall code quality and accelerated their development cycles.
These case studies highlight how leading companies like Facebook, Uber, and Airbnb leverage Infer to streamline their development workflows and ensure the delivery of high-quality software products.
You can access an updated list of companies using Infer by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 1,284 companies that use Infer.
Infer is used by a diverse range of organizations across various industries, including "Government Administration", "Education", "Financial Services", "Software Development", "Government Administration", "Pharmaceutical Manufacturing", "Software Development", "Education", "Hospitals And Health Care", "Financial Services". For a comprehensive list of all industries utilizing Infer, please visit TheirStack.com.
Some of the companies that use Infer include Draper City, Beta Academy, Sei, Banjo Health, U.S. Army Corps of Engineers, ABBVIE, Thomson Reuters, Madison Area Technical College, Teladoc Health, UBS and many more. You can find a complete list of 1,284 companies that use Infer on TheirStack.com.
Based on our data, Infer is most popular in United States (492 companies), United Kingdom (106 companies), Brazil (88 companies), India (43 companies), Canada (40 companies), France (25 companies), Germany (24 companies), Australia (17 companies), Switzerland (15 companies), Netherlands (12 companies). However, it is used by companies all over the world.
You can find companies using Infer by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.