Greptile is an AI code review service that indexes your repositories into a graph (files, functions, dependencies) and runs a swarm of review agents over every pull request.
Greptile’s durable asset is not its graph index, which is becoming commodity, but the standards it learns from your team’s own review comments, a corpus no competitor can copy overnight.
What it is #
It is a validation layer, deliberately not a code generator. The product indexes repos, then parallel agents review PRs for bugs, security issues, and multi-file logic errors, learning each team’s conventions by reading GitHub/GitLab comments (learnings isolated per organization). TREX (beta) extends review with sandboxed execution, writing and running tests per PR. Integrations point both ways: one-click handoff of each finding to Claude Code, Cursor, Codex, or Devin, a Greptile MCP server so agents can pull learned rules and resolve comments, a CLI, auto-detection of CLAUDE.md and .cursorrules, and Jira/Notion context. Self-hosted in your own AWS or air-gapped VPC is supported, with SOC 2 and GitHub plus GitLab coverage, plus a bulk API for building your own tools on the index. Behind it is Tabnam, Inc., a YC W24 company founded in 2023 by three Georgia Tech graduates (Daksh Gupta, Soohoon Choi, Vaishant Kameswaran).
Status #
Active, well-funded, and shipping. The homepage claims 22,000+ teams and names Nvidia, Brex, Substack, PostHog, Zapier, and Retool as users (vendor claim as of 2026-10-02). Funding: $4M seed led by Initialized Capital (June 2024), then a $25M Series A led by Benchmark Capital (September 23, 2025) alongside YC and Initialized; the YC directory lists a team of about 35. Release cadence is real: v3 rewrite (September 2025), TREX (June 2026), v5 (August 5, 2026), with the Series A post citing 500M+ lines reviewed that September month.
Strengths #
- The learning loop is the moat: rules distilled from real human review comments (transaction handling, logging patterns, security whitelists) compound per team and travel nowhere else.
- Review-only focus is a defensible position when authoring agents commoditize; everything writes code, few verify it independently.
- Vendor-reported scale gives some comfort: 180,000+ bugs prevented in one month per the Series A post, with named customers willing to be quoted.
- The engineering provenance is public: the founders documented their AST-parse, docstring-embedding, agentic-search pipeline on HN at launch (it uses tree-sitter), limitations included.
Cautions #
- Credit pricing has already drawn blood: an April 2026 “Greptile’s New Pricing Is Predatory” site hit HN, and its thread includes claims that free-tier promises to open source contributors were not honored; treat the OSS-free policy as unverified until confirmed with them.
- All quality claims (3x more critical bugs caught in v3 than v2, benchmark wins) are vendor-run with no published third-party replication.
- The index is post-commit; review-time working trees and unmerged dependencies are not what the graph sees.
- Early reliability was rough (launch-day outages and wrong-answer reports on HN in March 2024); the company has clearly iterated, but C++ templates and similar corners were weak points at launch.
Pricing #
Metered credits mean the reviewer’s bill scales with your PR velocity, not your headcount, which is either alignment or a tax depending on your merge rate. Starter is free for one active developer with 50 credits per month; Pro is $30 per seat per month including 50 credits per seat, with extra credits at $1 each and TREX reviews costing 3 credits (as of 2026-10-02). Free usage for qualified open source projects and discounts for pre-Series A startups are advertised but, per the caution above, community reports dispute how this lands in practice. Self-hosted enterprise and bulk API pricing are custom.
Price history #
| Date | Plan | Change | Source |
|---|---|---|---|
| 2026-09-18 | Starter, Pro | Baseline: Starter free for one active developer (50 credits/mo), Pro $30/seat/mo with 50 credits included, extra credits $1 each, TREX reviews 3 credits; re-verified unchanged 2026-09-21. |
Compared to #
- Sourcegraph code context platform: retrieval infrastructure priced at org level for any agent; choose Greptile when you want the reviewer and validator, not the index.
- CodeRabbit: the closest review-first rival with heavier marketing footprint; Greptile’s differentiators are the learned-rules loop and self-hosting.
- Augment Code: sells a full authoring-plus-review factory; choose Greptile when you want review independent of the tools that wrote the code.
Bottom line #
Recommended for teams whose bottleneck is review throughput on a growing PR flood, especially with multiple coding agents authoring changes. Not for individuals priced out by per-credit metering or maintainers who need the OSS-free promise in writing. My disagreeable claim: the graph index everyone credits Greptile for is the least valuable part of the product, and if a competitor shipped an identical index tomorrow with none of the learned-comment corpus, it would lose to Greptile on house-rule enforcement every time.
Changes #
- 2026-08-24 - Created among the seed notes of the Context engines category.
- 2026-08-30 - Moved into the new Code review category on category-fit grounds, with see-also links updated to its new siblings.
- 2026-09-20 - Added the Price history section tracking price changes in a table, per the new owner rule.
See also #
- Code Review Feature Matrix - the category comparison this note joins
- Sourcegraph code context platform - the infra-only end of the same indexed-codebase bet
- Semantic code search in coding tools - why graph indexes beat plain embeddings on cross-file questions
- Tree-sitter code chunking - the parsing layer Greptile’s indexer builds on
- Claude Code - the agent most often on the receiving end of Greptile comments
References #
https://greptile.com/ - product surface, customer list, team count, and pricing FAQ as claimed by the vendor
https://www.greptile.com/blog/series-a - $25M Series A led by Benchmark, v3 claims, 500M+ lines reviewed
https://www.ycombinator.com/companies/greptile - YC W24 batch, founding year, founders, team size
https://techcrunch.com/2024/06/06/greptile-raises-4m-to-build-an-ai-code-base-expert/ - $4M seed, API-first origin, customer counts at seed
https://news.ycombinator.com/item?id=39604961 - launch thread: AST parsing, docstring embeddings, agentic search, and early criticism