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Risk & ComplianceEstablished · 2 yrs on market

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

4.5

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

$2k/yr$5k/yr$8k/yr$10k/yr$13k/yr0d1d5d8dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyGreptileAikido SecurityInfisicalDopplerTwingateStackHawk

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

Greptile is outlined. Click any dot to open its dossier.

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.

MCPNative

Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.

SalesforceNot supported
AWSIntegration
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What Greptile ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
Agentic workflows

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

SOC 2 ISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* 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.