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Factored

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Helps leading companies select, train, and build world-class data-science, and AI teams

Mountain View, United StatesFounded 2019Edtech
Revenue $10–50M Latest reported FY
Headcount 100–500 Current team size
Total funding $0–10M Disclosed equity funding
Unlock exact values This page shows ranges. Dealroom has the exact numbers for Factored and the history behind them.

About Factored

Factored operates as a strategic talent partner for companies seeking to build and scale high-caliber teams in artificial intelligence, machine learning, and data science. Founded in 2019 by CEO Israel Niezen, with world-renowned AI expert Andrew Ng as a co-founding advisor, the company was established to address the significant global shortage of qualified engineers in these specialized fields. Based in Palo Alto, California, Factored emerged from a hypothesis within Andrew Ng's AI Fund, combining Niezen's business background, including an MBA from Harvard, and his passion for leveraging technology to create opportunities in Latin America.

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The firm’s business model centers on providing end-to-end talent augmentation, which includes sourcing, rigorously vetting, training, and managing remote engineering teams on behalf of its clients, primarily in the U.S. market. This allows client companies to accelerate their AI and data-driven roadmaps more quickly and cost-effectively than through traditional hiring. Factored distinguishes itself by focusing exclusively on the AI and data domain, embedding its engineers as seamless extensions of client teams to provide technical leadership, expert execution, or advisory services. The engineers, primarily from Latin America, undergo a demanding vetting and upskilling program designed by experts from Stanford University and deeplearning.ai, ensuring they are proficient in solving complex, real-world problems. This talent pool covers 100% of U.S. time zones, facilitating smooth integration.

Factored's service offerings are structured around its Centers of Excellence in AI & Machine Learning, Data Science, Data Analytics, Data Engineering, and Software Engineering. The company builds and deploys solutions across a wide range of industries including financial services, retail, healthcare, and telecommunications. Specific applications of their work include creating generative AI-powered personalized recommendation engines, developing systems for fraud detection and credit risk assessment, and building automated data transformation pipelines. Revenue is generated by providing these highly skilled, managed teams to companies, helping them tackle everything from customer segmentation and demand forecasting to complex challenges like Retrieval-Augmented Generation (RAG) systems and agentic workflows.

Source: Dealroom company data

At a glance

Founded
2019
Headquarters
Mountain View, United States
Sector
Edtech
Power Law
Colt$25–100M revenue

Investors

2 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Seed1 investor entered at this stage

  • AI Fund

Series A1 investor entered at this stage

  • SFC Capital
Employees mapped 407 incl. 8 AI specialists
Founders Hidden — book a demo/100 quality score
Key operators 11 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
21 countries with
team presence
🇨🇴 Colombia44.8%
🇧🇷 Brazil29.6%
🇺🇸 United States6.4%
🇦🇷 Argentina4.6%
🇵🇪 Peru3.4%
Top 5 of 21 shown
Web traffic by country
13K monthly visits
across markets
🇧🇷 Brazil37.7%
🇺🇸 United States30.8%
🇦🇷 Argentina11.5%
🇨🇴 Colombia9.2%
🇮🇳 India9.2%
Top 5 markets shown

Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Factored on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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