
Greptile
AI agents that review and test every pull request with full context of your codebase
By Greptile · 4.5/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Engineering teams with high pull-request volume that want review findings in minutes and fewer bugs reaching production
- Enterprises in regulated sectors that need self-hosted or air-gapped AI code review
- Organizations running several coding agents (Claude Code, Cursor, Codex, Devin) that want one validation layer for all code changes
- Teams that want security review, including dependency scanning and exploit detection, on every pull request
Ideal size: 10–200 engineers people · Scale-up or enterprise with an active code review culture
Not for
- Teams that do not host code on GitHub, GitLab, Bitbucket, Gitea, Perforce or Cursor Origin
- Non-engineering functions looking for a general-purpose AI assistant or document workflow tool
- Buyers who require FedRAMP, CMMC or a published HIPAA BAA from the vendor
Value metrics scorecard
Time-to-Value
Same day — ~5 minutes to first review
~1 days to first production value
Total Cost of Ownership
$9,000/yr
Starts at $0 · Free Starter for one developer; Pro $30 per seat per month with 50 review credits per seat; extra credits $1 each; Enterprise custom priced.
Implementation Friction
1/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Starter: 1 active developer, free. Pro: unlimited seats, billed per seat. Enterprise: custom.
Add-on costs
- Extra review credits at $1 each (base review 1 credit, Plus review 3 credits, Apex review 10 credits)
Company & support
Who is behind Greptile, 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 chatEnterprise only
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Docs, guides and onboarding are self-serve for all plans. Enterprise adds a dedicated Slack support channel and dedicated support; security and DPA questions go to [email protected].
“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 Greptile 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
- Greptile
- Aikido Security
- Infisical
- Doppler
- Twingate
- StackHawk
Add or change companies
Up to 10 companies including Greptile. 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 Greptile ships in AI, and what it asks of your ecosystem.
AI features shipped
Review engine builds a graph index of the repository, then runs a swarm of parallel agents (v5) on each PR. A security agent combines static scanning, dependency checks and AI exploit detection. TREX generates and runs tests in a sandbox. Experimental model inversion routes reviews to a model different from the authoring model.
Your data & models
- Trains on your data
- Trains by default; you can opt out
- Runs on
- OpenAI, Anthropic
- AI pricing
- Billed by usage or credits
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Either
- 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
Greptile is an AI code review agent for engineering teams: it indexes a repository into a code graph, then runs a swarm of parallel agents on every pull request, posting findings in about three minutes with one-click fixes into Claude Code, Cursor, Codex or Devin. Starter is free for one developer, Pro is $30 per seat per month with 50 credits, and Enterprise adds self-hosting, SSO/SAML and dedicated support. It is SOC 2 Type II, works with GitHub, GitLab and Bitbucket, and ships an official MCP server.
Frequently asked questions
How does Greptile pricing work?
Starter is free for one active developer and includes unlimited repositories plus 50 review credits per month. Pro is $30 per seat per month and includes 50 credits per seat, with extra credits at $1 each (base review 1 credit, Plus review 3 credits, Apex review 10 credits). Enterprise is custom priced and adds self-hosting, SSO/SAML, on-prem code providers and a dedicated Slack support channel. Open-source projects and pre-Series A startups can apply for free use or a 50% discount.
How quickly can a team get value from Greptile?
Setup is self-serve and reported to take about five minutes: connect GitHub or GitLab, enable repositories, and the first review arrives automatically. Greptile posts findings on pull requests in roughly three minutes, and its learning system adapts to your team's preferences over two to three weeks by reading PR comments and reactions.
Can Greptile be self-hosted or used with our own LLM?
Yes. Enterprise customers can self-host Greptile in their own infrastructure, including Docker Compose, Kubernetes with Helm and air-gapped environments, and can self-host LLMs or bring their own base URL and API keys instead of using Greptile's OpenAI and Anthropic inference.
Which code hosts and languages does Greptile support?
Greptile works with GitHub Cloud, GitHub Enterprise Server and Enterprise Cloud with data residency, GitLab Cloud and Self-Managed, Bitbucket Cloud and Data Center, Cursor Origin (beta), Gitea, and Perforce with P4 Code Review for on-premises deployments. It fully supports Python, JavaScript, TypeScript, Go, Elixir, Java, C, C++, C#, Swift, PHP and Rust, with most other languages supported at slightly lower response quality.
How does Greptile handle security and customer data?
Greptile is SOC 2 Type II compliant and offers self-hosting for air-gapped environments, plus SSO/SAML and audit logs on Enterprise. Customer code is stored on an encrypted filesystem and cached until repository access is revoked. Greptile may use de-identified customer data to train and improve its AI models by default, but customers can switch AI training off in account settings; self-hosted deployments collect no data for machine learning unless explicitly configured.