StartupSan Francisco, CA · Est. 2023 · Series B
Greptile
AI code review agents with full-codebase context.
Greptile reviews and tests pull requests with context from the whole repository. It builds a graph index of files, functions and dependencies, then runs a swarm of parallel agents that assess a change's impact beyond the diff, and learns team standards from reviewers' comments over time. The product line also includes a CLI, security review and TREX runtime validation (beta), framed as an independent check on code from both humans and coding agents. Founded in 2023 and part of YC W24, the San Francisco company raised a $50M Series B led by Menlo Ventures at a $750M valuation in October 2026.
Pros & cons
Each point cites its sources and says what kind of evidence backs it. A second reviewer tried to refute every claim before it was kept.
Pros
- User reportsIndexes the full codebase for review context and is often rated high-recall; one benchmark put its bug catch rate at 82% against CodeRabbit's 44%.[1]
- User reportsPractitioners describe its reviews as close to a static-analysis pass without much false-positive noise.[1][2]
- DocsPro has no seat fees: prepaid credits are shared across unlimited developers and agents, and OSS projects and early startups get free credits.[1]
- DocsEnterprise supports self-hosting and many git hosts, including GitHub Enterprise Server, GitLab Self-Managed, Bitbucket Data Center, Gitea and Perforce.[1]
Cons
- DocsPer-review billing ($1 base, $3 Plus, $10 Apex) makes cost scale with PR volume, and the 2026 pricing switch drew 'predatory' criticism.[1][2]
- User reportsOpen-source contributors were reportedly billed for usage after the pricing change.[1]
- Independent testFalse-positive rates are disputed; one 50-PR comparison found 11 against CodeRabbit's 2.[1][2]
- User reportsSome teams evaluating Greptile and its rivals concluded a webhook-triggered in-house agent would be cheaper.[1]
- Best for
- Teams that value catching more bugs over minimal noise and want per-use billing without seats.
- Watch out for
- Per-review costs at high PR volume, especially with agent-generated PRs.
Assessed Oct 29, 2026 · adversarially reviewedSuggest a correction
People
Co-founder & CEO
Comparisons & reviews
Co-founder
Comparisons & reviews
Co-founder
Comparisons & reviews
Neighbours in the directory
San Francisco, CA · Est. 2022
The de-facto standard toolkit for building LLM applications and agents.
LangChain makes the LangChain framework and LangGraph, the low-level orchestration standard for stateful, controllable agents, plus the LangSmith platform for tracing, evaluating and monitoring them in production.
~$75M raised
San Francisco, CA · Est. 2023
Devin, the AI software engineer, and the Windsurf IDE.
Cognition builds Devin, an autonomous AI software engineer that plans and executes engineering tasks end-to-end, and acquired the Windsurf agentic IDE in 2025. One of the defining startups of the coding-agent wave.
~$10.2B valuation (Sep 2025)
San Francisco, CA · Est. 2023
Enterprise-grade evals, data and AI gateway.
Braintrust turns prompts and agent traces into testable datasets and CI, plus an inference gateway — helping teams measure whether harness changes actually improve agent quality.
Connections
Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.
Similar entries · 2
- CodeRabbitStartup
- QodoStartup
Sources
Verified Oct 29, 2026