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Factorial

Location on request · Invests in US; Europe · Website

Check size

$500K-$1.5M

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Pre-SeedSeedB2B SaaSAI & Machine LearningDeveloper ToolsData & AnalyticsDeveloper Tools & InfrastructureEnterprise Software

Thesis

Technical founders building at the frontier of AI/ML infrastructure and applications. Purpose-built for the AI era, backing engineers who code solving previously technically impossible problems.

Likely not a fit for

Non-technical founding teams, me-too applications without technical innovation, consumer companies without strong technical depth

How they invest

Lead or follow
Leads or follows
Typical decision
~1 week
Warm intro
Not required
Involvement
Takes a board seat
Fund status
Actively deploying
Decision process
Partnership vote

Partners & team

2 contacts on file

MH

Matthew Hartman

Partner · Primary contact

RF

Ryan Fink

Partner

Portfolio

FactoryDeveloper Tools Infra

Factory.ai is an AI-native software development platform that automates coding tasks through advanced autonomous AI systems known as Droids. The platform is designed to enhance software engineering productivity by allowing users to delegate complete tasks like refactoring and incident response without altering their existing tools or workflows.

Slingshot AIHealthcare Digital

Slingshot AI is developing the first foundation model for psychology, aimed at providing accessible mental health support through AI technology. Their product, Ash, is designed to help individuals manage their mental health by respecting their autonomy and personal values.

SF ComputeEnterprise Software

SF Compute sells time on large-scale GPU clusters, allowing customers to enter contracts that can be exited by selling back to a liquid market, thus reducing the risk associated with long-term agreements.

OboeEdtech

Oboe is a technology company that builds audio software and offers a platform for creating personalized learning materials, including textbooks, quizzes, and podcasts. The platform leverages AI to enhance the learning experience.

LMArenaEnterprise Software

LMArena is a community-powered platform for understanding AI performance in the real world, allowing users to evaluate and compare AI models through real-world feedback.

LancedbDeveloper Tools Infra

LanceDB is a developer-friendly, open source database for multimodal AI. It supports low-latency billion-scale vector search and is built around a new columnar data format, making it easy to build applications for generative AI, recommendation systems, search engines, and content moderation.

GitbutlerDeveloper Tools Infra

GitButler is the Git-backed change management tool for modern, AI coding workflows. It offers features like parallel and stacked branches, unlimited undo, and agent integrations to enhance the Git experience.

Decart AIMedia Entertainment

Decart AI Lab focuses on real-time generative video and multimodal models, providing tools for creators, developers, and enterprises to create and edit video using AI technologies.

Copilot.moneyFintech Payments

Copilot Money is a personal finance management app that helps users track their spending, budgets, investments, and net worth, providing personalized recommendations through AI.

Causal LabsEnterprise Software

Causal Labs is building a Large Physics foundation Model (LPM) to learn causality through physics and weather, the most well-observed and consequential physical system.

Black Forest LabsMedia Entertainment

Black Forest Labs is a frontier AI research lab focused on developing state-of-the-art generative deep learning models for media such as images and videos, with a mission to advance visual intelligence.

BasisEnterprise Software

Basis is a strategic finance platform that helps teams save time on data preparation and offers integrations for business systems. It targets startups with forecasting models.

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Research briefRead more
Factorial Capital Research Investment Thesis Factorial Capital is a purpose-built early-stage venture capital firm for the AI era. Led by Matt Hartman (former 10-year VC at Betaworks), the fund invests in technical founders building at the frontier of AI/ML infrastructure and AI-native applications. The firm's core conviction is that the next generation of transformative companies will be built by engineers who code, focused on solving previously technically impossible problems using recent AI breakthroughs. Sector Focus Factorial invests exclusively in companies built by technical founders at the intersection of AI and emerging technology: Primary Focus Areas: AI/ML infrastructure (databases, vector stores, LLM tooling, observability) B2B SaaS powered by AI (productivity tools, enterprise automation) Consumer AI applications leveraging frontier models Data infrastructure and ETL/transformation tools AI safety and evaluation tools The fund explicitly avoids non-technical founding teams and focuses on founders with demonstrated technical depth. Stage Focus Factorial is an early-stage specialist: Angel/Pre-seed: Primary focus with $500K-$1M checks Seed: Secondary focus, happy to participate Series A: Selective follow-on for strong portfolio companies The fund emphasizes "rough prototype stage" investments - investing when founders have technical validation but before product-market fit. Check Size Typical investment range: $500K - $1M Angel/Pre-seed: $500K-$1M (primary) Seed: $500K-$1.5M Target ownership: 5-10% depending on stage Lead Tendency Factorial positions itself as flexible on lead vs. co-lead vs. participation: "We are happy to be the first yes or the last yes" "Lead, co-lead, or just be a part of the round" Strong conviction backing allows quick decisions with minimal committee Recent Activity Fund Status: Actively deploying Fund II Fund II: $25M closed December 2025 Fund I: Successfully deployed, with multiple exits and strong portfolio performance Notable Recent Investments (2025-2026): Factory AI (AI code/automation) Slingshot AI (AI infrastructure) SF Compute (GPU access/compute optimization) Patronus (LLM evaluation and safety) Oboe (AI analytics) Nomic (LLM tooling) LMArena (LLM evaluation) LanceDB (vector database) Gitbutler (Git/developer tools with AI) Flower (Federated ML framework) Decart AI (Computer vision) Copilot.money (AI financial tools) Causal Labs (AI data analytics) Black Forest Labs (Image generation) Basis (AI enterprise tools) Zo Computer (AI infrastructure) Portfolio Highlights Notable Exits/High-Profile Investments: Software Applications Inc. (acq by OpenAI) - AI infrastructure Argilla (exited) - Data annotation/ML ops Huggingface (first investor at Betaworks) - LLM ecosystem Anchor (acq Spotify) - Audio AI Squad (acq Twitter) - Team collaboration Cube.dev (acquired Databricks user) - Data querying Flower AI (federated ML framework) Fast Forward Labs (acq Cloudera) - Applied ML Active Portfolio: 65+ companies spanning AI infrastructure, B2B SaaS, consumer AI, and data tools Team Leadership: Matt Hartman, Managing Partner & Founder: Ex-Betaworks (10 years, VC partner), first investor in Huggingface, led investments in Anchor (acq Spotify), Squad (acq Twitter), and other Meta/Apple acquisitions. Deep infrastructure background and AI thesis leadership. Becca Lewy, Chief of Staff: Co-founder (Purple, acq by the Skimm), product manager at Infatuation and Grindr, operator-turned-investor Advisory Board/Venture Partners (technical practitioners): Clem Delangue, CEO Huggingface Iqram Magdon-Ismail, Co-Founder Venmo Hilary Mason, CEO Fast Forward Labs Matt Hackett, Co-Founder Beme Alex Chung, Founder Giphy Brandon Duderstadt, Founding CEO Nomic Amit Mandelbaum, Led Nvidia Networking AI team Victor Sanh, Built LLM at Hugging Face Andriy Mulyar, Founder Nomic Rebecca Qian, Co-Founder & CTO Patronus AI Neil Parikh, Co-Founder Casper & Slingshot AI Anand Kannappan, Co-Founder & CEO Patronus AI Decision Process Model: Ultra-lean, founder-led partnership Only 2 decision-makers: Matt + 1 technical partner Collaborates with advisory board on technical evaluation No formal committee or voting structure High conviction, fast decision approach Decision Timeline: Days to 1-2 weeks Founder Preferences Factorial explicitly seeks: Technical founders who code - preference for direct technical implementation Ex-FAANG/hyperscaler experience - engineers from Google, Meta, Apple, Amazon, Spotify, Twitter, etc. Deep domain expertise - Specialists in infrastructure, ML systems, or technical domains First-principles thinking - Solving genuinely novel technical problems Infrastructure mindset - Building foundational tools that enable the AI ecosystem Geographic Focus Primarily US-based with concentration in: New York (HQ), San Francisco Bay Area, Seattle, Austin. Market Position Factorial positions itself as the specialist AI infrastructure VC - betting on technical founders building the next layer of infrastructure that makes the current wave of AI applications possible.

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