Andera Raises $37M Series A to Automate Internal Audit

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Andera, a San Francisco company building an AI-native internal audit and corporate compliance testing platform, has raised $37 million in a Series A round led by Lightspeed Venture Partners.

The company was co-founded by Aryo Patel, who serves as CEO, and Tinah Hong. Its platform uses probabilistic search and long-context large language models to work through enormous volumes of data, processing hundreds of millions of data tokens across PDFs, screenshots, and ledger sheets. From that, it automatically runs control testing, generates audit judgments, and builds compliant workpapers, tasks that have traditionally eaten up large amounts of time for audit and compliance teams.

The pitch lands at a point where audit work is drawing fresh attention. The function has long relied on manual review and sampling, and Andera is betting that AI capable of reading across messy, unstructured records can change how that work gets done.

The funding is earmarked for a few priorities. Andera plans to accelerate adoption across Fortune 100 enterprise customers, scale its engineering and customer success teams, and expand its automated controls database. That database sits at the heart of the product, since the more controls it can test against, the more useful the platform becomes to large organizations with complex compliance requirements.

With a well-known lead investor and a clear enterprise target, Andera heads into its next stage aiming to make internal audit faster and less manual for some of the largest companies in the country.