You can use Sema to evaluate code quality, assess legal intellectual property risks, and measure AI adoption across your development organization. It scans codebases to uncover technical debt, open-source license obligations, and cybersecurity vulnerabilities during investment due diligence or ongoing development. You can monitor how engineering teams incorporate generative AI using metrics derived from source control repositories, calculate code remediation workloads, and audit cloud infrastructure expenses across providers. Additionally, it generates defensibility scores and remediation roadmaps to prepare clear, data-driven reports for leadership and board members.
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