What Are Almost Triplets NYC?
Almost Triplets NYC refers to a cluster of three or more AI startups founded around the same time with strikingly similar product visions, team backgrounds, and target markets. These companies often emerge from the same university programs, accelerators, or investor networks, creating a tight-knit group of near-identical ventures competing for the same enterprise clients. The term highlights how New York City has become a hotspot for this phenomenon, where dense talent pools and concentrated venture capital create ideal conditions for parallel innovation.
The pattern mirrors what happened in San Francisco during the 2012–2015 era, but with a faster cycle and a stronger emphasis on vertical SaaS. In NYC, the almost triplets often focus on specific niches like financial compliance, legal automation, or healthcare data processing, where deep domain expertise is required. This concentration means that a single corporate buyer might receive nearly identical pitches from three different companies, all built on similar open-source foundations and led by alumni of the same doctoral program.
Key Players and Funding Data
The most visible group of almost triplets NYC includes companies like Cohere, AI21 Labs, and Adept, all of which built large language model tooling for enterprise use. Cohere, founded in Toronto but with a major NYC office, raised a $270 million Series C in 2023, while AI21 Labs secured a $155 million round from investors including Nvidia and Pitango. Adept, which focuses on AI agents for software workflows, raised $350 million in 2023 at a $1 billion valuation, with backing from General Catalyst and Spark Capital.
Another visible trio operates in the AI infrastructure layer, with companies like Scale AI, Weights & Biases, and Arize AI all headquartered within a few blocks of each other in Manhattan. Scale AI, valued at $13.8 billion after a 2024 funding round, provides data labeling and evaluation services for defense and enterprise clients. Weights & Biases, a platform for machine learning experiment tracking, raised $200 million in a 2023 Series C, while Arize AI focuses on observability for production ML models. These companies often share early employees and advisors, reinforcing the near-triplet dynamic.
Why NYC Produces Near-Identical AI Ventures
The Talent Funnel Effect
NYC’s almost triplets phenomenon is driven by a concentrated talent funnel from Columbia University, NYU, and the City University of New York, which produce hundreds of AI PhDs and master’s graduates annually. These graduates often launch companies in the same research labs or under the same advisors, leading to parallel startups with shared technical DNA. The city’s deep bench of quantitative talent from finance and consulting also means founders can recruit domain experts in risk, compliance, and operations faster than in any other U.S. city.
The venture capital ecosystem amplifies this pattern, as top NYC firms like Union Square Ventures, First Round Capital, and Lux Capital actively back multiple teams from the same academic cohort. This creates a feedback loop where a successful AI startup from a specific lab inspires a wave of spinoffs and direct competitors within 12 to 18 months. According to data from Crunchbase, NYC-based AI startups raised over $12 billion in 2023, with a significant share going to companies that share founding teams, technical advisors, or early customers.
Market Concentration and Enterprise Sales
The enterprise sales cycle in NYC further concentrates the almost triplets, as large banks, media companies, and healthcare systems prefer to evaluate multiple similar vendors simultaneously. This buyer behavior means that three startups with nearly identical features can all secure pilots at the same Fortune 500 company, each believing they have a differentiated wedge. The