Comp AI
Compliance that helps you close deals — SOC 2, ISO 27001, HIPAA and GDPR automated with 580+ integrations.
By Bubba AI, Inc. d/b/a Comp AI · 4.9/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Seed to mid-market SaaS teams that need SOC 2, ISO 27001, HIPAA or GDPR audit-ready in days to unblock enterprise deals.
- Security-conscious buyers who prefer an open-source, auditable platform over a black-box compliance vendor.
- Teams that want compliance to double as continuous security monitoring: evidence, cloud scans, device agents and a live trust center.
- Companies currently on Vanta, Drata or Secureframe that want to switch and shorten the path to an observation period.
Ideal size: 10–500 employees people · Cloud-first startup to mid-market with an enterprise sales motion
Not for
- Buyers who require a published, self-serve price list before speaking to sales - every quote starts with a 20-minute scoping call.
- Organisations that need on-premises or non-open-source deployment; no source describes one.
- Companies expecting the vendor to issue the audit report itself - you still bring your own auditor.
- Businesses with little cloud or SaaS infrastructure to monitor, where automated evidence collection has less to pull from.
Value metrics scorecard
Time-to-Value
Days to audit-ready (vendor cases: 6–20 days)
~7 days to first production value
Total Cost of Ownership
On request
Custom quote scoped to frameworks, headcount, timeline and audit needs; no public rate card
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published - scope is set on a 20-minute pricing call
Add-on costs
- Audit services, penetration testing and trust center scope are quoted separately from the platform price.
Company & support
Who is behind Comp AI, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatAll plans
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsPlan not stated
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Slack questions answered in under 3 minutes (vendor claim)
Support is 1:1 Slack with in-house compliance experts - the vendor states no tickets and no email chains. Public documentation and an API reference are available at trycomp.ai/docs.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Comp AI sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Comp AI
- Scrut Automation
- Wiz
- Anecdotes
- Infisical
- Delve
Add or change companies
Up to 10 companies including Comp AI. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What Comp AI ships in AI, and what it asks of your ecosystem.
AI features shipped
Sources describe AI that learns your stack, processes and risk tolerance to generate tailored policies and assessments, agents that pull evidence and flag risk continuously, browser-driven control verification that screenshots results, and questionnaire answers drafted from approved policies and knowledge base content. Every evidence item is logged and auditable.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Comp AI is an AI-first, open-source compliance automation platform covering SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS and FedRAMP. It pairs 580+ integrations with device and cloud agents to collect evidence continuously, generates policies from your own stack and risk tolerance, and publishes a live trust center. Pricing is quoted rather than published: a 20-minute scoping call sets the number from frameworks, headcount, timeline and audit needs. Vendors report audit-readiness in 6 to 20 days and cite unblocked enterprise deals as the return.
Frequently asked questions
How much does Comp AI cost?
Comp AI does not publish a rate card. Pricing is tailored to four factors: the frameworks in scope, company size (headcount and devices), timeline, and whether audits, penetration testing or a trust center are included. You fill in a short form, pick a slot, and get an exact number on a 20-minute working call. The vendor argues a flat rate would overcharge simple programs and undercharge complex ones, and notes that adding a second framework costs less because controls map across frameworks.
How fast can we realistically be audit-ready?
Vendor case studies report 6, 7 and 8 days to audit-ready for some customers, about 2 weeks for SOC 2 Type II and ISO 27001 programs, and roughly one month for others. The pricing page states most teams connect their stack and start collecting evidence the same week. Evidence collection is continuous, so readiness depends on how quickly your own policies, access reviews and device agents are in place.
Do we still need our own auditor, and is the audit included?
The homepage FAQ addresses bringing your own auditor and whether Comp AI generates the audit report, separating the platform from the audit engagement. The pricing page says whether you need the audit itself changes what is included in your quote, so audit work, penetration testing and trust center scope are scoped on the pricing call rather than assumed.
Is our data used to train AI models?
No. The security page states customer data is never used to train AI models and that AI features operate on your data only to deliver the service. The privacy policy adds that Google user data, including Google Workspace API data, is not used to develop, improve or train generalised AI or machine-learning models, and that AI providers process questionnaire content only to return answers.
What does implementation actually involve?
You choose frameworks, answer onboarding context about your stack, processes and risk tolerance, then connect integrations - 580+ are supported - so evidence starts flowing. An open-source device agent runs on employee machines checking encryption, firewall, screen lock, password length and antivirus, and cloud tests cover AWS, Azure and GCP. No mandatory implementation fee is published; onboarding is largely self-serve with Slack-based expert support.
Which frameworks and integrations are covered?
Quoted frameworks include SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, SOC 1, NIST, ISO 42001, ISO 9001, CCPA, NEN 7510 and FedRAMP. The platform claims 580+ integrations out of the box, plus a public compliance automation API, an MCP Connector for AI assistants such as Claude, Cursor and ChatGPT, and security questionnaire automation from approved policies.