Comp AI

For a startup that wants to sell to large enterprises, compliance is often the bottleneck: SOC 2, ISO 27001, HIPAA, GDPR — each framework requires weeks of work to gather evidence, prepare documentation, and respond to security questionnaires. Companies that cannot afford a dedicated compliance team lose deals, slow down sales cycles, or end up relying on expensive consultants for activities that are, in their structure, repetitive and systematizable. Comp AI was built to automate this process. The platform, based in San Francisco, uses AI agents to manage the complete compliance cycle: automated evidence collection from the company's systems, gap identification against framework requirements, continuous conformance monitoring, and report generation for audits. It supports the frameworks most requested in the enterprise market — SOC 2, ISO 27001, HIPAA, GDPR — and integrates with cloud and security tools already in use. The business model is B2B SaaS with subscriptions varying based on the number of frameworks supported, users, and integrations. The choice to offer a multi-framework platform is strategic: clients who start with SOC 2 often need to add ISO 27001 or HIPAA as they enter new markets or acquire enterprise customers with different requirements, creating natural contract expansion over time. The compliance automation market has grown significantly with the increase in data security regulations and the proliferation of security assessment requirements in the software supply chain. Every SaaS company selling to enterprises effectively needs at least one security certification, and the traditional cost of obtaining and maintaining it is high enough to make automation economically attractive. Comp AI represents a case of AI applied to a domain where value is directly measurable: fewer hours of manual work, faster audit cycles, and fewer deals blocked by missing certifications.