Petual

Petual develops an AI platform that automates audit and compliance testing, delivering audit-ready results from any dataset in minutes with precision that matches or exceeds human auditors. The platform's AI agents perform tests of operating effectiveness by importing risk control matrices (RCMs) and control definitions, collecting and ingesting evidence, automatically mapping evidence to samples and controls, executing tests on-demand using defined test procedures, and generating workpapers with results to drive remediation. Petual processes complex financial data faster than traditional methods, delivering comprehensive results that would typically take hours or days. The platform handles any sample size from one to 25 samples or entire populations with the same level of precision, and scales across operational, financial, and compliance controls including revenue recognition and expense validation. Unlike traditional audit approaches that involve manual evidence gathering, error-prone data mapping, sample-based testing limited by human capacity, and reactive remediation, Petual ingests and maps massive amounts of unstructured data, analyzes entire populations to find critical outliers, agentically identifies relevance across evidence volumes, and enables proactive risk management with human-in-the-loop workflows. The platform requires zero configuration to integrate with existing tools and workflows, offers SaaS and self-hosted deployment options, implements zero-data retention policies for AI models, and is SOC 2 Type II certified. Founded in 2024 and headquartered in San Francisco, California, Petual has raised $20.0M in Series A funding from investors including Andreessen Horowitz, First Round Capital, Cowboy Ventures, and Elad Gil.

GRC Software > Compliance > Audit Management System,

Chatbots > Industry Agnostic > Enterprise Collaboration > Workflow Automation

College Wise > Stanford University