Factory AI
Enterprise coding Droids that topped Terminal-Bench at 58.75%
Overview
Factory is an agent-native development platform where autonomous Droids turn tickets into pull requests, review code and triage incidents with org-wide context, across CLI, desktop, Slack and Jira — used by MongoDB, EY and Nvidia.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 12 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Desktop, CLI & SDK access
- Cloud and local background agents
- Usage dashboard
- ~5x Pro usage limits
- Droid Computers (cloud sandboxes)
- ~10x Pro usage limits
- Early access to new features
- Up to 150 seats
- SSO, SAML/SCIM provisioning
- Zero Data Retention option
- Audit logging
- Unlimited team members
- On-premise deployment
- Dedicated account manager & SLAs
What you can produce with Factory AI
- Droids generate PRs from tickets/specs with org-wide context
- #1 on Terminal-Bench (58.75%), ahead of Claude Code and Codex CLI
- CLI, desktop, web, Slack/Teams and Jira/Linear integration
- Native GitHub/GitLab integration with real-time codebase indexing
- Factory-managed cloud sandboxes (Droid Computers) for background agents
- SSO/SAML/SCIM and audit logging (Business/Enterprise)
- Automated code review and STRIDE-based security review via GitHub Action
ASEAN Perspective
Factory AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Factory's Droid earned its benchmark bragging rights: it hit 58.75% on Terminal-Bench, beating Claude Code (43.2% with Opus) and Codex CLI (42.8% with GPT-5) on the same class of underlying models — Factory's own writeup and independent Hacker News commentary both credit agent design, not just model choice, for the gap. Backed by $150M from Khosla Ventures (plus Sequoia, Insight, Blackstone) at a $1.5B valuation as of April 2026, and used by MongoDB and EY, it's positioned for teams doing real autonomous PR generation, not just autocomplete.
The catch is cost predictability and hype fatigue. Token billing means a simple fix costs pennies and a monorepo refactor can burn through real money unpredictably, and at least one r/FactoryAi user called the hype "extremely forced" relative to their actual results. It's built for teams with an existing codebase to connect it to — solo developers or first-time agent users should start with something cheaper and simpler.
What people say
Factory's headline claim checks out on paper: Droid scored 58.75% on Terminal-Bench, the general software-development benchmark, taking the #1 spot and beating Claude Code (43.2% with Opus, its best score) and Codex CLI (42.8% with GPT-5). Factory's own technical writeup argues the gap comes from agent design — prompting, tool design, environment exploration — rather than just model selection, and points to Droid running cheaper models still beating rival agents running frontier ones. There's some outside corroboration: Hacker News commenters in coding-agent threads have noted the same underlying model performs better inside Factory's harness than in some competing tools.
Sentiment beyond the benchmark is more mixed. Community discussion is described as moderate as of mid-2026 — Droid comes up regularly in Hacker News agent threads, but Factory's own launch posts draw modest engagement. On the negative side, an r/FactoryAi poster wrote that their experience "has not been anything impressive... the hype behind it is extremely forced," which cuts against the benchmark narrative and is worth weighing alongside it.
The most consistent complaint is cost unpredictability. Because pricing is token-based, a small bug fix might cost pennies while a complex refactor across a monorepo can burn through a large chunk of budget with little warning, and Reddit users report struggling to predict monthly spend even at steady usage levels. Plans that unlock cloud sandboxes (Droid Computers) for autonomous background tasks — Plus and up — add usage headroom but don't fix the underlying unpredictability of token billing.
On traction, Factory names MongoDB, EY, Nvidia, Adobe, Bayer and Zapier as customers, and closed a $150M Series C led by Khosla Ventures in April 2026 (with Sequoia, Insight Partners and Blackstone participating) at a $1.5B valuation — signals of real enterprise adoption even if individual-developer sentiment is mixed. Pricing runs Pro at $20/month up to Max at $200/month for individuals, with Business (150 seats, SSO/SCIM) and Enterprise both custom-quoted for larger deployments.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Factory AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Factory AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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