Quick answer: Comp AI fits security-conscious SaaS teams of 5 to 50 people who have at least one engineer willing to own the compliance stack and want full visibility into what collects their evidence. Confirm your auditor is comfortable with the platform before signing. Its youth and thin auditor-familiarity track record are the main risks.

Our rating: 4.2 / 5

Best alternatives: Vanta, Drata, Secureframe.

Every major compliance platform in 2026 is a black box. Vanta, Drata, and Secureframe are closed-source SaaS products: you trust that their agents collect what they say they collect and handle your credentials responsibly. For most teams, that trust is fine. For security-conscious buyers, it is a friction point.

Comp AI is the only credible alternative: an AGPLv3-licensed, self-hostable SOC 2 automation platform where every agent, integration, and control mapping is readable on GitHub. Founded in early 2025 by Comp AI, Inc. (also registered as Bubba AI, Inc.) in San Francisco, the platform has ~1.6k GitHub stars, ~198 forks, ~28 contributors, and approximately 700 customers as of mid-2026. The question this review answers: does the open-source thesis plus the price point make the youth tradeoff worth taking.

What Does “Open-Source Compliance” Actually Mean?

Open-source compliance, in Comp AI’s case, means the codebase that collects your evidence is publicly readable and forkable under AGPLv3. About 99% of the platform is open; the remaining ~1% is a commercial /ee enterprise-edition folder.

This buys three things: auditability (a security engineer can read exactly what the device agent checks and verify it matches what the dashboard shows), data sovereignty (self-host puts all evidence on your own Postgres instance), and no lock-in (if prices rise, you can run your own instance). What it does not buy is a free product. Operating self-host means infrastructure and engineering costs. It also carries an AGPLv3 copyleft obligation: network-deployed derivatives must be open-sourced. For most buyers this is irrelevant; for any team building a compliance product on Comp AI’s codebase for external customers, get a legal review first.

Who Is Comp AI For?

Comp AI fits SaaS teams of 5 to 50 people where at least one engineer will own the compliance program. The ideal buyer cares about what runs in their environment, values pricing transparency, and either has DevOps capacity to self-host or wants managed cloud at a price well below Vanta’s floor.

It is a poor fit for three scenarios: non-technical compliance owners (self-host requires Node 20+, Bun 1.1.36+, PostgreSQL 15+, Trigger.dev workers, and Redis/Upstash), teams that need the fastest possible auditor relationship (Vanta’s 15,000+ customers means most CPA firms know its evidence format cold; Comp AI’s ~700 customers means auditor familiarity is still ramping), and mid-market programs requiring 10+ frameworks (Comp AI verifiably supports 5; third-party claims of 25+ are unconfirmed by vendor materials).

Comp AI Features: What the Platform Actually Does

Six capabilities matter for a first SOC 2. The AI Policy Editor generates draft policies in plain English and shows a diff when you edit, so you see exactly what changed and why. Automated Evidence collection pulls from 500 to 580+ integrations (the range reflects differing claims across sources) and maps to AICPA Trust Services Criteria controls. The Device Agent runs on macOS, Windows, and Ubuntu, checking disk encryption, antivirus, password policy, and screen-lock timeout; because the agent code is on GitHub, a security engineer can verify it sends only what it claims.

The Trust Center provides a public-facing compliance view plus AI questionnaire automation that handles 200+ security questions, saving hours per enterprise sales cycle. Penetration testing is bundled into the platform tier, which is unusual: a separate pentest typically costs $5,000 to $15,000. The 100% money-back guarantee covers subscription fees (conditions: onboard within 30 days, address 80%+ of platform tasks, respond within 5 business days, use a qualified third-party auditor; cap is the first 12 months of subscription fees).

Self-Host vs Managed Cloud: The Build-vs-Buy Math

Self-host is license-free but you operate the stack (Postgres 15+, Bun runtime, Trigger.dev workers, Redis/Upstash, and a host). Realistic loaded cost: roughly $10,000 per year, mostly engineer time. The path makes sense if your team already runs similar infrastructure and values data sovereignty.

Managed cloud pricing is not self-serve on the official trycomp.ai site, which routes to a demo. Third-party review sites report: Starter ~$199/mo ($2,388/yr), Pro ~$997/mo ($12,000/yr, audit bundled), Done-For-You ~$3,000 one-time. Compare that to Vanta ($10K-$15K/yr before auditor fees) and Drata ($7.5K-$15K/yr). At Starter, Comp AI is 80-85% cheaper than Vanta’s floor. At Pro with the bundled audit, the all-in cost ($12K) competes directly with a Vanta platform fee plus a $15K-$50K auditor, assuming the bundled auditor is one you would have hired anyway.

The decision: does your team have a DevOps engineer who can maintain a production deployment, or do you prefer to pay for managed infrastructure?

Comp AI vs Vanta vs Drata: Side-by-Side

DimensionComp AIVantaDrata
ModelOpen-source (AGPLv3), self-hostableClosed-source SaaSClosed-source SaaS
Starting price~$199/mo cloud or free self-host$10K–$15K/yr$7.5K–$15K/yr
Frameworks5 verified (SOC 2, ISO 27001, HIPAA, GDPR, FedRAMP)35+30+
Integrations500–580+ claimed400+300+
Audit includedYes (Pro tier)NoNo
Customers~70015,000+8,000+
G2 rating~4.8 (low volume)4.6 (2,424 reviews)4.8 (1,100+ reviews)
Pentest bundledYesNoNo
FoundedEarly 202520182020

Comp AI wins on price, transparency, and the bundled audit plus pentest. Vanta and Drata win on auditor familiarity, customer scale, framework breadth, and multi-year track records. Verify that the integrations your stack actually uses are in Comp AI’s catalog before treating the 500–580+ headline as an advantage.

Comp AI Pros and Cons

Pros

  • Full codebase on GitHub under AGPLv3: verify exactly what agents collect and how controls map.
  • Lowest entry price in the category. Self-host is license-free; cloud Starter is ~$2,400 per year.
  • Pro tier bundles a third-party audit at ~$12K all-in, potentially saving $15K-$40K vs platform + separate auditor.
  • Penetration testing bundled, removing a separate procurement step.
  • AI Policy Editor shows diffs, giving compliance owners a cleaner review workflow.
  • 100% money-back guarantee on subscription fees (conditions apply).
  • Trust Center AI questionnaire automation handles 200+ questions, saving hours on enterprise sales cycles.

Cons

  • Founded early 2025: no multi-year track record and thin public case studies.
  • Auditor familiarity is still ramping; most CPA firms have done far more Vanta and Drata audits.
  • Self-host demands real DevOps capacity; not viable without a technical owner.
  • AGPLv3 copyleft applies to network-deployed derivatives; legal review required before building a derivative SaaS.
  • Cloud pricing routes to a demo; tier structures are third-party-reported, not vendor-published.
  • Framework count verified at 5 (homepage); 25+ claims on third-party sites are unconfirmed.
  • Smaller integration ecosystem than Vanta for niche or enterprise tooling.

Will an Auditor Accept Comp AI Evidence?

A licensed CPA firm still issues the SOC 2 report regardless of which platform you use. Comp AI prepares the evidence and organizes it against the AICPA Trust Services Criteria; the auditor reviews it, tests controls independently, and issues the report.

The practical question is familiarity. Auditors who have done 50 Vanta audits know exactly where to find the logical access evidence and what supplemental documentation the platform does not cover. An auditor who has done two or three Comp AI audits may request evidence in formats the platform does not natively produce. Before committing, ask your shortlisted CPA firms directly whether they have completed a SOC 2 using Comp AI exports. The Pro plan’s bundled audit sidesteps this by pairing you with an auditor already familiar with the platform.

One nuance on the bundled pentest: auditors typically expect penetration testing from an independent third party engaged specifically for the audit scope. Confirm with your CPA firm how they plan to treat Comp AI’s bundled pentest report before signing.

For independent firm options, see our best SOC 2 auditors directory and SOC 2 audit cost guide. For standalone pentest options, see our SOC 2 penetration testing firms list. Browse the full SOC 2 compliance tools comparison to see where Comp AI sits in the broader field.

Comp AI FAQ

Is Comp AI really free?

The self-hosted version has no license fees. Loaded annual operating cost (engineer time plus Postgres, Upstash, hosting) runs roughly $10,000 per year. The managed cloud version starts at approximately $199 per month per third-party reporting; the official site routes to a demo for current pricing.

What does open-source compliance mean?

About 99% of the codebase is AGPLv3-licensed and publicly readable at github.com/trycompai/comp. The agent code, integration catalog, and controls library are all auditable. The remaining ~1% is a commercial enterprise-edition folder. Open-source here means code auditability and self-hosting rights, with an AGPLv3 copyleft obligation on network-deployed forks.

How much does the cloud version cost?

Cloud pricing is not on the official website, which routes visitors to a demo. Third-party review sites report: Starter ~$199/mo ($2,388/yr), Pro ~$997/mo ($12,000/yr, audit bundled), Done-For-You ~$3,000 one-time. Treat these as third-party estimates until confirmed directly.

Does Comp AI include the audit?

The Pro tier (reported at ~$997/mo) bundles a third-party audit. Starter does not. On any plan, a licensed CPA firm issues the SOC 2 report; Comp AI prepares the evidence.

Will my auditor accept Comp AI evidence?

Most CPA firms accept well-structured evidence from any platform, but familiarity with Comp AI’s specific export format varies. Confirm with your chosen firm before signing. The Pro plan’s bundled audit removes this uncertainty by pairing you with a pre-vetted auditor.

What frameworks does it support?

The homepage lists five: SOC 2, ISO 27001, HIPAA, GDPR, and FedRAMP. Some third-party review sites claim 25+. Treat the five as the verified set and confirm additional coverage directly with Comp AI.

Final Verdict: Who Should (and Shouldn’t) Pick Comp AI

Comp AI fits a 5 to 50 person SaaS team with at least one engineer who will own the compliance program, values code auditability, and wants the lowest all-in cost in the category. The bundled pentest and Pro-tier audit make the math genuinely competitive against Vanta or Drata for a first SOC 2.

The caveat: the platform was founded in early 2025. At ~700 customers with auditor familiarity still building, it lacks the years of production use that Vanta’s 15,000+ and Drata’s 8,000+ represent. If a delayed or complicated audit would be damaging, that risk is real.

Comp AI is not the right choice for teams without a technical compliance owner, programs requiring 10+ frameworks, or organizations building a compliance product on the codebase for external customers without legal review of the AGPLv3 obligations.

Before signing, verify three things: that your key integrations are in the 500+ catalog, that your CPA firm has reviewed Comp AI evidence exports before, and that your team has the capacity to maintain the deployment (or the budget for managed cloud).

Comparing SOC 2 software? See our side-by-side breakdown of all 12 compliance platforms — pricing, best-for, and what each one gets wrong. Independent editorial, no pay-to-rank.