Comp AI is an open-source governance, risk, and compliance platform that automates evidence collection and audit preparation for frameworks including SOC 2, ISO 27001, HIPAA, and GDPR. It connects to company tooling, maps evidence to framework controls, and tracks remediation toward audit readiness, with AI agents assisting vendor reviews, policy drafting, and questionnaires. It serves startups and growing companies that want an open, self-hostable route to compliance instead of a closed managed incumbent.[1][2]
Quick verdict
Teams facing SOC 2 or ISO 27001 audits who want an open, self-hostable compliance path will get the most from Comp AI. Its continuous evidence collection, control mapping, and auditor-ready outputs compress real audit scrambles, but quote-led pricing and occasionally flaky automations mean hands-off buyers should weigh Vanta instead.[1][2][3][4][5]
Key features
Automated evidence collection Connect company tools once and let 580-plus integrations pull evidence continuously, replacing screenshot chasing before audits.[1]
Evidence mapped to controls Collected evidence lands against the right framework controls, so SOC 2, ISO 27001, HIPAA, and GDPR requirements stay visibly covered.[1]
Remediation tracking Gaps surface as trackable remediation tasks, keeping owners and deadlines attached all the way to audit readiness.[1]
AI agents for GRC work Agents draft policies, run vendor reviews, and answer risk questionnaires, with the vendor claiming minutes instead of days.[1]
Eight-plus frameworks Coverage spans SOC 2 Type I and II, ISO 27001, HIPAA, GDPR, plus SOC 1, PCI DSS, ISO 42001 for AI, ISO 9001, NEN 7510, FedRAMP, CCPA, and NIST.[1]
Vendor and trust management A vendor portal with automated reviews plus a public trust center, vendor questionnaire automation, and penetration-test tracking extend compliance outward.[1]
Self-hostable open core The AGPL-3.0 core runs on your own infrastructure via documented Docker Compose, one-command, or manual installs, with 11 native integrations and a custom agent for the rest.[1]
Auditor-ready outputs Auditor collaboration, policy management, and access-review workflows produce the evidence pack an auditor actually asks for.[1]
Who will love it
Startups facing a first SOC 2 audit: continuous evidence plus auditor-ready outputs compress the exact scramble one co-founder reviewer describes, at open-source price flexibility.[1][2][3]
Teams that insist on controlling their data: the AGPL-3.0 core self-hosts on your infrastructure, which a closed managed platform cannot offer.[1][2]
Operators juggling vendors and questionnaires: automated vendor reviews, trust-center sharing, and AI-drafted answers fit the vendor-risk workload reviewers praise.[1][2]
Who should avoid it
Buyers wanting transparent self-serve pricing: the pricing page shows no dollar figure on any plan, and critical reviews call the quote-led cost too expensive for small teams.[1][2]
Teams expecting flawless automation: reviewers report integrations and automations failing at random with limited error handling, so plan for technical babysitting.[1][2]
Teams wanting a hands-off managed audit: Comp AI positions itself against Vanta precisely because the incumbent owns auditor relationships and maturity, so pick the incumbent when hand-holding matters more than openness.[1][2]
Reported experience
74 public G2 reviews aggregating to 4.7 out of 5, inspected October 9, 2026; one labelled 19-word excerpt quoted from a September 2026 co-founder review (4.5 stars), plus a June 2026 VP Engineering review (5 stars) analyzed without quotation to stay within the 25-word-per-source limit, alongside the published critical-review themes on pricing and automation reliability.
1 cited community source. G2 sample is self-selected public reviewers writing in 2026, mostly small and mid-market operators; no independent prevalence or satisfaction inference is possible. Two critical reviews were inspected alongside positive ones, and both critical themes are reported as individual accounts, not product-wide defects. No Reddit thread was located, so Reddit sentiment is uninspected rather than absent.
Across 74 G2 reviews aggregating to 4.7 out of 5, verified operators praise fast evidence logging, clear control visibility, and responsive support, while the published critical themes flag quote-led pricing and occasional automation failures. These are individual accounts within a self-selected sample, analyzed here rather than quoted.[1]
Alternatives and compatibility
Vanta is the direct substitutable incumbent: both automate evidence collection, control mapping, and remediation for the same frameworks, so a team running audits through Vanta can run that same workflow in Comp AI instead. Choose Comp AI for openness and self-hosting, Vanta for managed maturity.[1][2]
Drata and Secureframe cover adjacent managed-compliance ground and appear as named alternatives, but neither was evaluated head-to-head in this pass, so they stay leads rather than recommendations.[1]
How people experience it
Exact excerpt
I can log all my evidence, clearly understand my requirements, and see which controls I need to address to become compliant.
G2 review titled Streamlined Compliance Evidence Collection and Audit Coordination, September 2026, 4.5 out of 5 stars.
Questions worth asking
How much does Comp AI cost per month?
Nothing is stated as a monthly rate on the pricing page checked October 9, 2026: every plan, including Starter, carries a Get a demo action and a Talk to sales link, with no dollar figure shown. The $1,499 and $5,999 figures from an earlier intake read are stale and no longer on the page. Expect a sales-led quote, not self-serve checkout.[1][2]
Can you self-host Comp AI?
Yes. The core platform is licensed AGPL-3.0 and the repository documents local development with Docker Compose plus one-command and manual install paths, so a team can run it on its own infrastructure. The vendor also sells a managed cloud on every plan, and the enterprise-only /ee directory stays closed, so self-hosting covers the open core, not the commercial edition.[1][2]
What is the best Comp AI alternative for non-technical users?
Vanta is the safer pick for non-technical teams: it is the established managed incumbent with auditor relationships, while Comp AI trades some hand-holding for openness and price flexibility, and its setup still asks for technical time on integrations. This stays conditional because no head-to-head testing was done in this pass.[1][2][3]
Is Comp AI really no-code?
Mostly yes for everyday use: evidence collection, control mapping, and questionnaires run through the product UI, and no code is required to operate them. The boundary is setup and depth: connecting 580-plus integrations, scoping frameworks, and running the stack yourself need technical time, and one reviewer notes most work still needs a technically minded employee.[1][2]
Sources and editorial review
Source research. Reviewed on October 9, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
74 public G2 reviews aggregating to 4.7 out of 5, inspected October 9, 2026; one labelled 19-word excerpt quoted from a September 2026 co-founder review (4.5 stars), plus a June 2026 VP Engineering review (5 stars) analyzed without quotation to stay within the 25-word-per-source limit, alongside the published critical-review themes on pricing and automation reliability. G2 sample is self-selected public reviewers writing in 2026, mostly small and mid-market operators; no independent prevalence or satisfaction inference is possible. Two critical reviews were inspected alongside positive ones, and both critical themes are reported as individual accounts, not product-wide defects. No Reddit thread was located, so Reddit sentiment is uninspected rather than absent.
- Comp AI official site
official · Observed October 9, 2026
Official homepage: AI compliance platform with 580-plus integrations, AI agents for vendor reviews and policies, 11 frameworks named, auditor collaboration, vendor portal, trust center, Starter/Growth/Scale/Enterprise plans each with Get a demo.
- Comp AI pricing
official · Observed October 9, 2026
Pricing page: no dollar figure on any plan; every tier carries Get a demo and Talk to sales, annual-versus-monthly toggle present but amounts undisclosed. Differs from earlier $1,499/$5,999 intake read.
- trycompai/comp repository
official · Observed October 9, 2026
Repository trycompai/comp: 99 percent AGPLv3 open core with closed /ee commercial directory; Next.js, Prisma, Tailwind, Trigger.dev, Upstash, Turborepo, Bun, Postgres; Docker Compose local development; about 2,024 stars and 424 forks at observation.
- Comp AI Vanta alternative page
official · Observed October 9, 2026
Vendor Vanta-alternative page: positions against Vanta on open source, pricing model, 11 native integrations plus custom agent, in-house auditors, dedicated success manager, migration support.
- Comp AI reviews on G2
community · Observed October 9, 2026
G2 product reviews: 74 reviews, 4.7 out of 5; inspected full reviews by Dan G. (co-founder, September 2026, 4.5 stars) and Jamie C. (VP Engineering, June 2026, 5 stars) plus published critical themes on pricing and automation reliability.