Petual

Petual is developing an AI-powered platform aimed at enterprises for managing audit and compliance. The company focuses on automating audit testing for SOX, operational, financial, and compliance risks using intelligent agents. This technology is designed to provide greater precision and broader coverage than manual testing, delivering results and audit-ready workpapers in minutes.

The founding team combines experience in audit leadership with expertise in scaling AI platforms and enterprise systems. Co-founders include Snir Kodesh, a two-time founder who sold his first company to Lyft and previously led engineering at Retool and Lyft; Eliot Walker, former CTO of Lyft's fleet division with experience at Amazon; Andrew Li, a seasoned engineer from Lyft and Augmedix; and David Coulombe, the former VP of Internal Audit at Lyft. The team's background blends audit, applied machine learning, and scalable systems development to address what they identify as an overlooked area in enterprise technology.

The platform integrates into existing workflows and can be deployed as a SaaS or self-hosted solution to ensure data control. It operates with zero-data retention policies for its AI models and is SOC 2 Type II certified. The service is built for both enterprises and professional firms, aiming to reduce manual work and allow teams to focus on strategic risk management. Petual's system can analyze entire data populations, automate evidence annotation, and identify deviations proactively.

Keywords: AI-powered audit, compliance automation, SOX testing, internal controls, risk management, automated testing, financial compliance, operational risk, audit technology, regtech, enterprise software, control validation, automated evidence collection, continuous monitoring, GRC, intelligent agents, audit-ready workpapers, risk insights, data analysis, enterprise AI