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Brian Schechter

Brian Schechter is a venture capitalist in New York known for his work on the infrastructure investing practice at Primary Venture Partners, where he has been a partner since 2020 [1][3][4]. Before joining Primary as an investor, he was an entrepreneur who built two venture-backed companies, the second of which was itself backed by Primary, giving him direct experience of the firm from the founder's side of the table [14]. He has described Primary's approach as distinct from typical venture firms because it provides embedded operational resources, such as in-house recruiters and business development representatives, rather than the advice and introductions that most VCs offer, with the goal of helping founders reach their next funding round faster through team-building and revenue generation [14]. He holds a BA in philosophy from Marlboro College and an MA in education from Lesley University [12][13].

At Primary, Schechter has argued that value in artificial intelligence will accrue across the entire technology stack, including compute, foundation models, middleware infrastructure, and applications, rather than concentrating in a single layer, a view he says was reinforced by the emergence of new model entrants such as DeepSeek [14]. He has said that effective venture investing in the current environment requires deep sector specialization rather than a generalist approach, and that Primary organizes its teams around specific verticals such as infrastructure, enterprise, healthcare, and fintech so that investors can evaluate deals with detailed knowledge of customer pain points and competitive dynamics [14]. He has also contended that computational hardware should no longer be treated as a commodity but as a strategic asset, arguing that meaningful performance gains require tight integration between hardware and software rather than software running on whatever infrastructure is available [16].

Schechter has used Primary's newsletter and public commentary to analyze notable transactions in AI infrastructure, citing Databricks' 1.3 billion dollar acquisition of MosaicML as a case study, noting that Mosaic had reached the deal on roughly 30 million dollars of annualized revenue after only about two years of operation and had begun commercializing seriously just six to eight months before being acquired [15]. He has pointed to that acquisition, along with the rapid revenue growth of companies such as Weights & Biases and Together, as evidence that some AI infrastructure startups can scale annualized revenue from single digits to tens of millions of dollars within twelve to eighteen months when market timing and positioning align [15]. In advising founders, he has emphasized that pitches should demonstrate a clear, well-reasoned view of how a market will evolve and why a company is positioned to capture that shift, rather than relying on static revenue projections [15].

Since joining Primary, Schechter has served as a board member and investor across a number of portfolio companies, including Tabs beginning in mid-2022, Cake later that year, Etched.ai in 2023, Teleskope in late 2023, and in 2025 Haiqu, The Biological Computing Co., and an additional company operating in stealth focused on memory technology [5][6][7][8][9][10][11].

Insights & ideas

Brian Schechter argues that standout AI infrastructure founders are those who can clearly articulate a strategic vision, read the competitive chessboard, and explain why their timing and positioning fit how the market will evolve [1]. He treats Databricks' acquisition of MosaicML as a case study in how fast-moving fine-tuning and open-source model infrastructure has become central to enterprise AI, since companies want the control and flexibility of running fine-tuned open models rather than relying solely on closed API services [1]. He also stresses that founders must iterate quickly on positioning as markets shift, using Databricks' pivot from a "data lake" to an "AI" narrative as evidence [1].

More broadly, Schechter believes AI value will accrue across the entire stack, from compute and foundation models to infrastructure and vertical applications, and that specialization rather than generalist investing is now required to evaluate these opportunities [2]. He argues hardware is no longer a commodity but a strategic advantage, and that tight software-hardware integration and hardware innovation are necessary for order-of-magnitude performance gains [3]. He also emphasizes that venture support should go beyond advice, citing embedded recruiting and business development help as the real levers for founder success [2].

Experience

  1. Partner
    Primary Venture PartnersJul 2020 to Present
  2. Board Member and Investor
    Stealth Memory CompanyNov 2025 to Present
  3. Board Member and Investor
    HaiquApr 2025 to Present
  4. Board Member and Investor
    The Biological Computing Co. (TBC)Apr 2025 to Present
  5. Board Member and Investor
    TeleskopeOct 2023 to Present
  6. Board Member and Investor
    Etched.aiApr 2023 to Present
  7. Board Member and Investor
    CakeOct 2022 to Present
  8. Board Member and Investor
    TabsJul 2022 to Present

Education

Media & appearances

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