The non-negotiables for AI-assisted engineering. We measure, anticipate, govern, and secure everything after the prompt.
Start with one product. Expand when the numbers earn it.
Trusted by engineering teams at
Each door is a product you can test, deploy and use on its own.
AI adoption, token spend vs. what shipped, tool ROI, and the signals leaders need to act. Team-level by design, no individual scorecards.
Is this release really on track, or does it only look on track in Jira? Committed vs landed vs verified, in one graded verdict with every slip on record.
Reviews code against your full repository graph, team guardrails, and inter-PR collision risks, not just the diff in front of it.
Every organization releases differently, so we map GRelease to your release train with you: your gates, your Jira conventions, your CI. Then it grades every train and keeps every slipped date on record.
Continuous scanning surfaces issues to developers before they become downstream risks or incident reports.
Answers technical questions and unblocks developers in Slack and Teams, grounded in what your organization already knows.
Catches defects and compliance issues in VS Code, Cursor and Windsurf, before a PR is ever raised.
Tenants, licensing, access and integrations for the whole suite, in one portal.

One shared brain for every product, so the three doors never contradict.
Explore GKS →Start with one door. Add the next when the numbers earn it. Your price carries over.
Agents never touch your systems directly. Everything reads through GKS, the governed boundary you control, and every action writes back only through your keys.
GKS ingests only the sources you authorize. Nothing you have not connected ever enters.
Each agent gets the exact data required to do its work, filtered at intake, and nothing beyond it.
Agents read from GKS, never your host systems. Misuse stops at the boundary, not inside your stack.
When an agent writes back to a system, it goes through credentials you provision, scope, and revoke at will.
No rip-and-replace. Garth connects to the tools your teams already use.
Built to connect with your full engineering ecosystem.
Secure access across your identity providers.
Automated onboarding and management.
Data integration across your full tech stack.
On-premise, cloud, or hybrid. Your data stays where it needs to.
Customizable backfill and compliance controls.
Proactive threat detection and response.
Early signals from the teams putting Garth to work across review, delivery, and release.
We're still early with GRelease, but I can already see it fixing the thing that keeps me up at night: knowing whether a release is genuinely safe to ship. My team and I finally have one honest view of release readiness instead of a dozen Slack threads and a gut feeling.
For the first time I can see delivery, quality, and AI spend across every team in one place. G360 turned a quarterly guessing game into a conversation I can actually back with data.
What sold me was that GReview understands the code, not just the diff. It holds every pull request to the same standards we have been trying to enforce by hand for years, and it does not get tired at 6pm on a Friday.
Our sprints used to end in surprises. With G360 I can watch risk building up mid-cycle instead of finding out at the retro. Predictability went from a hope to a habit.
GReview took the review bottleneck off my leads. It governs every PR before a human ever opens it, so we spend our time on design decisions instead of catching the same issues over and over.
As the volume of AI-generated code exploded, review became the wall we kept hitting. GReview flags the risky changes early and lets the clean ones through, so my PRs move in hours, not days.
| Capability | Garth Suite | CodeRabbit | Greptile | LinearB | Hivel |
|---|---|---|---|---|---|
| AST + GKS-grounded code review | ✓ GReview | ◐ | ◐ | ✗ | ✗ |
| Inter-PR collision detection | ✓ GReview | ✗ | ✗ | ✗ | ✗ |
| Team guardrail enforcement | ✓ GReview | ◐ | ◐ | ✗ | ✗ |
| Hidden agentic risk detection | ✓ GReview | ✗ | ✗ | ✗ | ✗ |
| Automated test generation for PRs | ◐ Roadmap | ✗ | ✓ TREX | ✗ | ✗ |
| Prompt Valuation | ◐ Roadmap | ✗ | ✗ | ✗ | ✗ |
| Multi-VCS (GitHub + GitLab + Bitbucket + Azure DevOps) | ✓ All 4 | ✓ GH+GL | ◐ GH+GL | ✓ All 4 | ✓ |
| Repo security scanning | ✓ GScan | ✗ | ✗ | ✗ | ✗ |
| Developer agent (Slack + Teams) | ✓ GAssist | ◐ | ✗ | ◐ WorkerB | ◐ Slack |
| IDE: VS Code + AI-native editors | ✓ G-IDE | ✗ | ◐ | ✗ | ✗ |
| Lines-changed vs. tokens-used analytics | ✓ G360™ | ✗ | ✗ | ◐ Copilot ROI | ◐ Adoption |
| DORA delivery metrics | ✓ G360™ | ✗ | ✗ | ✓ | ✓ |
| CI/CD pipeline analytics | ✓ G360™ | ✗ | ✗ | ✓ | ◐ |
| Release readiness: committed vs landed vs verified | ✓ GRelease | ✗ | ✗ | ◐ | ✗ |
| Cross-signal release reconciliation (Jira · Git · CI · deps) | ✓ GRelease | ✗ | ✗ | ✗ | ✗ |
| Cloud cost & ROI (AWS · GCP · Azure) | ✓ G360™ | ✗ | ✗ | ◐ | ✗ |
| AI leader identification | ✓ G360™ | ✗ | ✗ | ✗ | ✗ |
| Cross-tool shelfware detection | ✓ G360™ | ✗ | ✗ | ✗ | ✗ |
| Graph-based knowledge retrieval | ✓ GKS | ✗ | ◐ | ✗ | ✗ |
| Central control plane + licensing | ✓ Universe | ✗ | ✗ | ◐ | ◐ |
Garth doesn't write your code. Claude Code, Codex, and other AI coding agents do that. Garth governs, secures, and measures everything that happens after the prompt: the review, the risk, the delivery, the spend.
Get the platform built for it.
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