Companies that use Infer
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.
3,530
companies
List of companies using Infer
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"infer\"
]
}"Technology
is any of
Infer
Employees19kHospitalityInferHigh confidence
Employees100kRevenue$10MGovernment AdministrationInferHigh confidence
Employees103Revenue$3.1MGovernment AdministrationInferHigh confidence
Employees2.7kRevenue$4.8MHigher EducationInferHigh confidence- Employees8Revenue$3.3MLaw EnforcementInferHigh confidence
Employees107Primary and Secondary EducationInferHigh confidence
Employees66Non-profit OrganizationsInferHigh confidence
Employees270Law EnforcementInferHigh confidence
Employees60kRevenue$16BManufacturingInferHigh confidence
Employees42kRevenue$308kBankingInferHigh confidence
We have data on 3,530 companies and users that use Infer. Our Infer users and 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.
Technology Usage Statistics and Market Share
How to target Infer users
- How to customize this list?
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
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.