Comp AI

Open-source compliance automation, honestly reviewed. No marketing fluff, just what you get when you self-host it.

TL;DR

• What it is: Open-source (AGPL-3.0) compliance platform for SOC 2, ISO 27001, HIPAA, GDPR, and 45+ frameworks — automated evidence collection, policy management, and control implementation [3].
• Who it’s for: Early-stage startups that keep losing enterprise deals because their security questionnaire is blank. Non-technical founders who need SOC 2 done without hiring a compliance team or paying Vanta $30K/year [3][website scrape].
• Cost savings: Vanta and Drata run $10,000–$30,000+ per year for startup tiers. Comp AI self-hosted runs on a $10–20/mo VPS with your own data. Cloud-hosted pricing is not publicly listed, but the self-hosted path removes the vendor bill entirely [3].
• Key strength: The AI Policy Editor and automated evidence collection are genuinely functional — not “AI-powered” marketing on top of a checklist tool. An independent review at Help Net Security describes it as doing real work [3].
• Key weakness: At 1,446 GitHub stars, this is an early-stage project. Enterprise features (SSO, advanced RBAC) are behind a commercial license. Setup requires real engineering work — this is not a no-code SaaS replacement [merged profile][3].

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What is Comp AI

Comp AI is a compliance platform you can run on your own infrastructure. You connect it to your cloud accounts (AWS, GCP, Azure), install a lightweight device agent on employee laptops, and let it collect the evidence an auditor needs. The AI layer handles drafting and editing security policies in plain English. The result is a dashboard showing your compliance posture across SOC 2, ISO 27001, HIPAA, GDPR, and FedRAMP — with actual evidence attached, not just a status checkbox.

The GitHub description is honest about what it is: “AI Native platform to get companies compliant - Vanta & Drata Alternative” [README]. The website is more sales-y about it (“Compliance that helps you close enterprise deals”) but the underlying claim is the same: this is what you run instead of paying $20K/year to a compliance SaaS vendor.

The project is licensed under AGPL-3.0, which is meaningfully different from MIT. AGPL requires that if you modify the code and run it as a network service, you must release your modifications as open source. For a startup using it internally to get compliant, that’s fine. For a company trying to embed it in a product you sell to others, you’ll want to read the license first. The project operates on what it calls an “Open Core” model — roughly 99% of the codebase is AGPL-licensed, with a small portion under a commercial license covering enterprise features [3].

The tech stack is Next.js, Prisma, Trigger.dev, Tailwind CSS, and PostgreSQL [README]. It’s a monorepo with multiple apps (app, portal, api). Built on Vercel’s infrastructure for the cloud version, self-hostable via Docker and Node.js.

As of this review, the project has 1,446 GitHub stars [merged profile]. For context, Vanta and Drata are closed-source SaaS — there’s no open-source comparison point. In the compliance tooling space, Comp AI is in early growth.

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Why people choose it

The honest answer is: they’re choosing it because the alternative is $20,000–$30,000/year to Vanta or Drata, and the startup can’t justify that bill until they’re well past their first enterprise contract.

The Help Net Security piece [3] covers the actual product thoroughly rather than just the pitch. Their summary: three features do real work. The AI Policy Editor lets you write changes in plain English and see a diff before anything is applied. The Automated Evidence feature lets you define what needs to be verified in a prompt, and the platform builds a recurring automation to collect and store it. The Device Agent is a desktop app (macOS, Windows, Ubuntu) that checks disk encryption, antivirus, password policy, and screen lock timeout — the four controls that show up in every SOC 2 audit — and reports to the portal.

That’s not vaporware. Those are specific, scoped features that solve specific, scoped problems that every startup encounters when they first try to get SOC 2.

The website claims 600+ companies use Comp AI and advertises a 4.9/5 rating [website scrape]. The sources we have don’t include independent user reviews with meaningful sample sizes, so take that number with appropriate skepticism. What the Help Net Security article does confirm is that the product architecture is sensible and the described features work as documented [3].

The competitive argument versus Vanta and Drata is primarily cost. The secondary argument is data sovereignty — your evidence, policies, and employee compliance data stay on your infrastructure, not a third-party SaaS database. For companies in regulated industries or with European customers under GDPR, that’s not a trivial point.

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Features

Based on the README, Help Net Security review, and website scrape:

AI Policy Editor:

• Natural language interface for drafting and updating security policies [3]
• Diff view shows changes before they’re applied — non-destructive workflow [3]
• Policies are mapped to specific controls (SOC 2, ISO 27001, etc.)
• Auto-generates access control policies, encryption policies, and more [website scrape]

Automated Evidence Collection:

• Plain-language prompts define what evidence to collect [3]
• Platform builds automations to collect and store evidence on a recurring schedule [3]
• Cloud integrations: AWS, GCP, Azure [3]
• Evidence is stored and auditor-accessible from the dashboard

Device Agent:

• Desktop app (system tray) for macOS 14+, Windows 10+, Ubuntu 20.04+ [3]
• Checks: disk encryption, antivirus, password policy, screen lock timeout [3]
• Runs checks hourly, reports to organizational portal [3]
• Does not collect browsing history, file contents, or personal data [3]
• Manual guidance available for organizations that can’t install the agent [3]

API:

• REST API for evidence collection, policy management, employee records [3]
• Enables building internal tools on top of the platform

Frameworks supported:

• SOC 2, ISO 27001, HIPAA, GDPR as primary targets [3][website scrape]
• FedRAMP and ISO 42001 mentioned for enterprise tier [website scrape]
• Website claims 45+ frameworks total [affiliate program page][1]

Trust Center:

• Public-facing compliance portal [website scrape]
• Live compliance status, published policies, control inventory
• Feeds automatically from the platform

Security Questionnaire (documented, in navigation):

• Published policies auto-populate security questionnaire responses [3]
• Reduces back-and-forth with enterprise procurement teams

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Pricing: SaaS vs self-hosted math

Comp AI’s cloud pricing is not publicly listed on the website — it’s “Book Demo” for startup through enterprise tiers [website scrape]. There’s no self-serve pricing page. This is a deliberate enterprise sales motion, not a bottoms-up product.

What we know about the commercial structure:

• Cloud version: demo required, pricing not public
• Self-hosted (AGPL-3.0): free for the core platform
• Enterprise features (SSO, advanced RBAC): commercial license required [3]

What the competitors charge:

• Vanta: startup tier around $10,000–$15,000/year for SOC 2, scales up from there
• Drata: similar range, $15,000–$30,000/year depending on frameworks and company size
• Thoropass (formerly Laika): $5,000–$12,000/year for starter

Self-hosted cost math:

• Comp AI software: $0 (AGPL)
• VPS to run it: $10–20/mo (Hetzner, Contabo, DigitalOcean with 4GB+ RAM)
• PostgreSQL: bundled or managed (~$10–20/mo if using a managed service)
• Your engineering time to set up and maintain it

Concrete savings: A startup paying Vanta $15,000/year saves roughly $14,760/year by self-hosting Comp AI on a $20/mo server. The one-time setup cost is probably 4–12 hours of engineering time, plus ongoing maintenance. The math is obvious if you have the technical capacity.

The caveat: “free to self-host” only applies to the 99% of the codebase that’s AGPL. Enterprise features (which specific ones aren’t fully enumerated in the sources we have) require a commercial license. If your SOC 2 audit requires SSO for auditor access, you may need to negotiate.

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Deployment reality check

Comp AI is not a one-click install. The README requires Node.js 20+, Bun 1.1.36+, and PostgreSQL 15+. The setup process involves cloning the monorepo, configuring multiple .env files across three apps (app, portal, api), running database migrations, generating Prisma types for each app individually, and running all apps in parallel [README].

That’s a real engineering task. It’s not a nightmare, but it’s also not “deploy a Docker image and you’re done.” A developer comfortable with monorepos and Next.js should budget 2–4 hours for a clean first deployment. For a non-technical founder, this requires hiring someone.

What you need:

• Linux server with 4GB+ RAM (multiple Next.js apps, background workers, PostgreSQL)
• Node.js 20+, Bun, Docker (for the PostgreSQL container in dev)
• PostgreSQL 15+ (self-managed or a managed service like Supabase/Neon)
• A domain and reverse proxy (Caddy or nginx) for HTTPS
• SMTP for email notifications
• Redis for background job queuing (Trigger.dev dependency)

What can go sideways:

• The Trigger.dev dependency for background jobs adds operational complexity — it’s not just a database and a web server
• Upstash is listed as a built dependency [README], which implies Redis in a specific configuration
• The project is young (1,446 stars). The self-hosted documentation may have gaps that the cloud version papers over
• AGPL compliance matters: if you modify the code, you must release modifications. Most startups just using it internally won’t care, but it’s worth knowing

Cloud version trade-off: If you go with Comp AI’s cloud version (requires demo, pricing by quote), you lose the self-hosted data sovereignty angle but gain operational simplicity. For a startup that wants to get compliant fast and doesn’t have engineering bandwidth, that’s a reasonable trade — assuming the pricing lands somewhere between “free” and “Vanta.”

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Pros and Cons

Pros

• Open-source core with real functionality. The AI Policy Editor, automated evidence, and device agent are documented features that an independent reviewer (Help Net Security) confirmed as functional [3]. This isn’t a demo frontend on a compliance checklist.
• AGPL-3.0 license. You can inspect the code, verify what it actually does with your security data, and run it on your own infrastructure. For a compliance tool, this matters more than for most software categories.
• Data sovereignty. Your policies, evidence, and employee compliance records stay in your own database. No third-party SaaS vendor sees your audit trail [3].
• Covers the frameworks that actually matter. SOC 2, ISO 27001, HIPAA, GDPR — and FedRAMP for US government contracts [3][website scrape]. That covers the certification requirements for most enterprise sales motions.
• Device Agent is a concrete feature. Automated disk encryption / AV / screen lock checks on employee devices is not a trivial build. Having it as a downloadable agent that reports to a central portal solves a real audit pain point [3].
• API access. REST API for building internal tooling on top of compliance data is something Vanta’s starter tiers gate behind higher plans [3].
• Trust Center. A public-facing compliance portal that live-reflects your actual posture is a genuine sales tool — security questionnaire responses pulled from it automatically [website scrape].

Cons

• Young project. 1,446 GitHub stars is not Vanta’s decade of development. Edge cases in framework coverage, audit workflow support, and enterprise features are likely to surface [merged profile].
• No public pricing. “Book a demo” for every tier means you don’t know if the cloud version is cost-competitive until you’ve talked to a salesperson. This is a friction point for technical buyers who want to evaluate before engaging sales.
• AGPL is not MIT. If you want to embed Comp AI into a product you sell, the license gets complicated. Most startups using it internally won’t care, but be clear on what you’re agreeing to [3].
• Complex self-hosted setup. Multiple apps, multiple .env files, Bun dependency, Trigger.dev for background jobs — this is not a simple Docker Compose one-liner [README].
• Enterprise features behind commercial license. The specific list isn’t fully published in sources we have, but SSO and advanced RBAC appear to require a commercial agreement [3].
• Sources are thin. We found one substantive independent review (Help Net Security [3]) and an affiliate program listing [1]. The SourceForge result for article [2] returned Adobe Comp reviews — an irrelevant tool, not Comp AI. Broader third-party validation is limited for a product this early.
• The “45+ frameworks” claim is hard to verify. The affiliate program page mentions 45+ frameworks [1], but the detailed product description covers 5–6 in depth. The long tail may be shallow coverage.

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Who Should Use This / Who Shouldn’t

Use Comp AI if:

• You’re a seed-to-Series A startup that keeps hitting “send us your SOC 2 report” walls in enterprise sales, and you can’t justify $15,000–$30,000 for Vanta.
• You have one engineer who can spend a day setting up the self-hosted instance and maintaining it.
• Your data sovereignty requirements or GDPR obligations mean you’d rather not hand your security evidence to a third-party SaaS.
• You want to inspect exactly what a compliance tool does with your employee device data before deploying an agent to every laptop.
• You want SOC 2 Type I as a first milestone and need to get a Trust Center and basic evidence collection working quickly.

Skip it (stay on Vanta/Drata) if:

• You have no engineering capacity and need a compliance consultant to hand-hold the entire process — Vanta’s professional services ecosystem is mature, Comp AI’s is nascent.
• You’re pursuing FedRAMP or complex enterprise frameworks where framework coverage depth matters more than cost.
• Your audit timeline is in weeks, not months, and you can’t absorb self-hosted setup risk.
• Your board or auditor requires a recognized, audited compliance platform — some auditors have opinions about the tools they accept evidence from.

Evaluate carefully if:

• You’re mid-market (100+ employees). The enterprise feature set behind the commercial license may mean you end up negotiating with Comp AI’s sales team anyway — at which point the price comparison with Vanta becomes less clear.

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Alternatives Worth Considering

• Vanta — the market leader. Clean UI, massive auditor network, mature feature set. $10,000–$30,000+/year. Fully closed source. Worth the price if you’re closing $1M+ ARR deals and compliance is on the critical path [3].
• Drata — similar positioning to Vanta, sometimes preferred for ISO 27001 workflows. Similar pricing range. Closed source.
• Thoropass (formerly Laika) — slightly more affordable startup tier, human-assisted audit workflow. Closed source.
• Sprinto — popular in the Asian and European markets, more affordable than Vanta. Closed source.
• OpenCSF / manual approach — for a bootstrapped startup, some teams do SOC 2 Type I manually using Google Sheets and self-written policies. Cheaper than any platform, but the labor cost is real and doesn’t scale to Type II.
• Defang + self-managed compliance — for engineering-heavy teams, some startups build their own evidence collection pipelines on top of AWS Security Hub / GCP Security Command Center. Not for the faint of heart.

For a non-technical founder who wants something between “do it manually” and “pay Vanta $20K,” the realistic options are Comp AI (self-hosted or cloud) and Sprinto. Comp AI wins on transparency and self-hosted flexibility. Sprinto wins on polished onboarding and customer support reputation.

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Bottom Line

Comp AI is solving a real and expensive problem: SOC 2 compliance has historically required either a compliance consultant running spreadsheets or a $20,000/year SaaS subscription. The open-source core with real features (Policy Editor, automated evidence, device agent) is a meaningful alternative for startups that have one engineer and a tight budget. The AGPL license means you can verify what it does with your security data before deploying it to your team’s laptops — which is exactly the kind of trust signal a security tool should offer.

The honest caveats: the project is young (1,446 stars, limited third-party reviews), the self-hosted setup is not beginner-friendly, and some enterprise features require a commercial license. If you’re a non-technical founder with no engineering help, the cloud version makes more sense — but without public pricing, you can’t evaluate it without talking to sales.

For a technical co-founder at a seed-stage startup staring at a $20,000 Vanta quote, Comp AI is worth a serious evaluation. If the setup investment is the blocker, that’s exactly the kind of deployment upready.dev handles for clients — one-time fee, you own the infrastructure, the Vanta bill never starts.

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Sources

1. TapRefer — Comp AI Affiliate Program (affiliate program listing with product description). https://taprefer.com/comp-ai-affiliate-program/comp-ai/
2. (Source [2] returned Adobe Comp / SourceForge results unrelated to Comp AI — not cited)
3. Anamarija Pogorelec, Help Net Security — “Comp AI: The open-source way to get compliant with SOC 2, ISO 27001, HIPAA and GDPR” (April 7, 2026). https://www.helpnetsecurity.com/2026/04/07/comp-ai-open-source-compliance-platform/

Primary sources:

• GitHub repository and README: https://github.com/trycompai/comp (1,446 stars, AGPL-3.0 license)
• Official website: https://trycomp.ai
• Product Hunt launch: https://www.producthunt.com/posts/comp-ai