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Comp AI has a broad integration list, but automated coverage for the controls auditors actually check is thin — leaving more manual evidence collection than most startups expect. ComplyJet is built specifically for startups: 350+ integrations with deep automated controls, a team that closes the evidence gaps, and flat pricing from day one.
Comp AI is an open-source compliance platform positioned as a startup-friendly Vanta alternative. The integration list is broad — but the automated test coverage for controls auditors actually examine is thin. Many critical checks still require manual evidence collection. ComplyJet gives you 350+ integrations with automated tests built for what auditors look for — backed by a team with a proven track record of completed audits.
350+ integrations with real automated test coverage for controls auditors examine — not just a connected service
Dedicated compliance team with structured support and formal SLAs — not a Slack channel the founders check
Multiple completed audit cycles with vetted independent auditors — not a platform cutting its first reports
Comp AI's integration count looks impressive — but what matters for compliance automation isn't whether a tool is connected, it's whether the platform runs automated tests for the controls that auditors check. Many of Comp AI's integrations are surface-level connections that flag a service as active without running the specific control tests that matter.
For SOC 2, auditors check things like: are access controls enforced, is MFA enabled across services, are audit logs retained for the required period, are encryption standards applied. If those tests aren't automated, you're collecting evidence manually — which means the "automation" value proposition breaks down for the controls that carry the most audit weight.
ComplyJet's integration layer is built around test coverage: each integration maps to the specific control tests auditors run, so evidence collection is genuinely automated where it counts.
Comp AI's responsive support is driven by direct founder involvement. That works when the team is small and the founders have time. With thousands of customers on an open-source platform and a team of under ten, the model is already under strain. For a startup relying on compliance support to close a deal on a deadline, the risk isn't that the platform is bad — it's that help may not arrive when it's needed.
ComplyJet's support is structured around a dedicated team, formal SLAs, and processes that don't depend on any one person's availability. Every customer gets a dedicated account manager from day one — not a Slack channel that becomes less responsive as the platform scales.
Comp AI's first completed audits date to mid-2025. For a new platform, this matters more than it seems. The compliance program isn't just about passing the first audit — it's about maintaining the program, collecting continuous evidence, handling control exceptions, and passing the second and third audit cycles.
Platforms that look strong in audit one sometimes reveal gaps in evidence completeness or control drift in year two. The scenarios that surface — missed log retention windows, evidence gaps from deprecated integrations, control exceptions during renewals — are exactly the scenarios that first-time platforms haven't faced yet.
ComplyJet has completed multiple full audit cycles with customers and has been through the evidence-gaps-and-exceptions scenarios that mid-2025 platforms are yet to encounter.
From founders and CTOs who thought carefully about the decision
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