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Factory

Category: AI Agents

An enterprise AI platform that deploys autonomous 'Droids' to automate the software development lifecycle (SDLC), including code reviews, documentation, and testing. Factory was founded in 2023. The company is led by Matan Grinberg. Based in San Francisco, USA. Team size: 101-500. Total funding raised: $220.0M. Latest round: Series C. Key investors include Khosla Ventures, Sequoia Capital, NEA, Blackstone, Insight Partners, Lux Capital, Nvidia, J.P. Morgan, Abstract Ventures, Mantis VC, 20VC, Evantic Capital.

Founded
2023
Headquarters
San Francisco, USA
Team size
101-500
Total funding
$220.0M

Value proposition

Increases engineering velocity and reduces technical debt by automating repetitive SDLC tasks, allowing human developers to focus on high-level architecture and creative problem-solving.

Products and solutions

Droids (model/IDE/interface-agnostic autonomous software development agents across SDLC), Missions (long-horizon multi-step multi-agent workflow coordination), Factory Desktop (native desktop Droids with full system access and local context), CLI / IDE / Slack / Linear / Browser interfaces for agent-native development, Context Compression / enterprise memory (codebase + tooling context at scale)

Unique value

Moves beyond 'Copilot' models (which suggest code) to 'Droids' (which execute end-to-end tasks autonomously), acting as virtual teammates rather than just autocomplete tools.

Target customer

Engineering leaders (CTOs, VPs of Engineering), DevOps teams, and enterprise software development organizations.

Industries served

Software Engineering, Enterprise Information Technology, Financial Services, Cloud Computing, SaaS

Technology advantage

Proprietary 'Context Compression' technology that allows AI agents to maintain high accuracy and performance when working within massive, complex enterprise codebases that typically exceed standard LLM context windows.

How they differentiate

Factory differentiates by deploying task-specific 'Droids' (Review, Test, Doc) that integrate directly into the existing SDLC workflow rather than acting as a standalone chat interface. Their proprietary 'Context Compression' framework allows their agents to maintain high accuracy across massive enterprise codebases that exceed standard LLM context windows.

Main competitors

Cognition (Devin), Magic.dev, Poolside, Anysphere (Cursor)

Key partnerships

Factory Partner Network (FPN) — $100M commitment for consulting/SI partners across US, EMEA, APJ (Aug 2026), EY (enterprise partnership to scale Droids across 10,000+ engineers), Khosla Ventures / Sequoia Capital / NEA (lead investors), Major VCS and workflow integrations (GitHub, GitLab, Bitbucket, Slack, Linear)

Notable customers

Nvidia, Adobe, EY, Palo Alto Networks, Adyen, MongoDB, Bayer, Zapier, Morgan Stanley, Clari

Major milestones

Raised $150M Series C led by Khosla Ventures at $1.5B valuation (Apr 2026), Raised $50M Series B led by NEA with Sequoia, Nvidia, J.P. Morgan at $300M valuation (Sep 2025), Droids #1 on Terminal Bench; launched model/IDE/interface-agnostic Droids (Sep 2025), Introduced Missions (multi-agent long-horizon workflows) and Factory Desktop (Apr 2026), Launched Factory Partner Network with $100M partnership commitment (Aug 2026)

Growth metrics

Unicorn at $1.5B post Series C (Apr 2026); total funding $220M; revenue doubled month-over-month for six consecutive months as of Series C; Droids used daily by hundreds of thousands of developers; team scaled to 51-200.

Market positioning

Enterprise-grade autonomous software engineering platform focusing on the full development lifecycle.

Geographic focus

Global, with a primary headquarters and market presence in North America (San Francisco).

Patents and IP

No specific registered patents disclosed; relies on proprietary algorithms and trade secrets regarding context management and agentic workflows.

About Matan Grinberg

Matan Grinberg is the Co-founder and CEO of Factory. He was previously a PhD student in Theoretical Physics at UC Berkeley (dropped out to start Factory) and a researcher at the Lawrence Berkeley National Laboratory focusing on Machine Learning. He holds an AB in Physics from Princeton University.

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