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Primary Venture Partners

Seed-stage VC for SaaS and ecommerce

Overview

Primary Venture Partners focuses on seed-stage investments, concentrating on enterprise SaaS and ecommerce, with a NYC-oriented geographic focus. It helps early-stage companies in these sectors grow by providing capital and hands-on support through its network and partners. The approach differs from many investors by maintaining a strong local NYC footprint and domain expertise in its two target sectors, rather than broad, generalist investing. The goal is to help startups reach scale and build lasting, successful businesses in the NYC ecosystem.

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About Primary Venture Partners

Simplify's Rating
Why Primary Venture Partners is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Venture CapitalConsumer SoftwareEnterprise Software

Company Size

51-200

Company Stage

N/A

Total Funding

$3.6B

Headquarters

New York City, New York

Founded

2015

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Simplify's take

What believers are saying

  • Primary led Forgepoint's $9.8 million seed on October 14, 2026, backing factory AI sales.
  • Circuit & Chisel raised $19.2 million on September 22, 2025, with Stripe and Coinbase Ventures.
  • Fund V's 2026 launch gives Primary dry powder for forty-to-fifty new seed checks.

What critics are saying

  • A $625 million fund pushes check sizes up, forcing larger exits in crowded seed markets.
  • NYC bias narrows sourcing; rivals like a16z, Sequoia, and Lightspeed now hunt founders aggressively.
  • A weak AI cycle can trap Primary in a flat, mark-down heavy portfolio.

What makes Primary Venture Partners unique

  • Primary closed Fund V at $625M on February 10, 2026, the largest standalone seed fund.
  • Its 60-plus person operating team outnumbers investors and drives hiring, sales, and fundraising.
  • Recent leads like Forgepoint and Circuit & Chisel show conviction in AI infrastructure.

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Funding

Total Funding

$3.6B

Above

Industry Average

Funded Over

0 Rounds

Benefits

  • Remote Work Options
  • Flexible Work Hours
  • Health Insurance
  • 401(k) Retirement Plan
  • Paid Vacation
  • Paid Holidays
  • Professional Development Budget
  • Conference Attendance Budget

Company News

Venture5
Oct 30th, 2026
Moves in VC: week of october 25 - october 31.

Moves in VC: week of october 25 - october 31. This week's Moves in VC contains 4 moves and 9 new fund announcements, compiled from 40+ sources. Icymi. Meyer "Micky" Malka, founder and managing partner of Ribbit Capital, has been appointed to the Board of Directors at Apollo Global Management. Western Venture5 Media. Stephanie Zhan is launching a new early-stage AI fund. Stephanie will continue her role as a Partner at Sequoia Capital. Benny Liao joined AIC as a Partner. Benny previously worked at Acorn Pacific Ventures as a Principal. AIC is a global venture capital firm investing in AI. Interested in having your job posting featured here? Eastern Venture5 Media. Omar Hassan joined Primary Venture Partners as a Partner and CFO. Omar previously worked at Cloverlay as a Partner and CFO. Europe. Brynne Kennedy left her role as a Partner and Co-founder at Smart Society Capital. Brynne joined EH Energy as Chairman and CEO. Smart Society Capital invests in growth-stage energy and AI companies. New funds. These firms are ready to write checks, with new funds recently closed. New York-based Formation Bio announced its $600M Drug Development Accelerator Fund to bring together drug developers with AI systems. San Francisco-based Relational Capital launched with $50M raised. The solo GP venture fund will invest in early-stage technology companies. Dallas-based Disruptive raised $7.5B for its new fund to back AI and defense startups. Its target for the fund is $10B. Stockholm-based BackingMinds raised $56M in the first close of its third fund. The fund will support early-stage Nordic companies. Barcelona-based Masia closed its $20M debut fund to back AI and frontier tech startups. Barcelona-based Nauta Capital raised $67.1M in the first close of its sixth fund. The fund will focus on European B2B software and deep-tech startups. London-based TSP Ventures closed its inaugural fund to target hard-science startups. The fund size was undisclosed. London-based Begin Capital raised its second $100M fund to support deep-tech founders. Milan-based Panakès Partners raised $9.5M for its new fund to back life sciences, medtech, and biotech startups and scaleups in Lombardy. For emerging managers. Join over 3,000 VC professionals receiving key legal insights by Chris Harvey. Discover the "Law of VC" Substack with free checklists, forms, and guides. Stay tuned for next week's Moves in VC!

Fortune
Oct 28th, 2026
Casap raises $56M to help banks fight rising cardholder fraud with AI

Casap, an AI startup that helps banks and card companies handle disputes and chargebacks, has raised a $56 million Series B round led by Base10 Partners. The round brings its total funding to $90 million since its 2023 launch. Synchrony and Experian joined as strategic investors. Lightspeed Venture Partners, Emergence, and Primary are also backers. Cardholders themselves now account for nearly a third of fraudulent transactions, as AI tools and social media tips make false disputes easier. Casap says customers cut first party fraud losses by up to 51% and raised chargeback win rates to 96%, against a 60% industry average. Disputes take eight days on average to resolve, it says, compared with up to 90 days traditionally. Casap will use the money to expand into complaints handling and collections.

U.S. Securities and Exchange Commission
Oct 25th, 2026
EDGAR Filing Documents for 0001901028-21-000001

EIN.: 872023914 | State of Incorp.: DE | Fiscal Year End: 1231Type: D | Act: 33 | File No.: 021-426462 | Film No.: 211514809

U.S. Securities and Exchange Commission
Oct 25th, 2026
EDGAR Filing Documents for 0001855120-21-000002

EIN.: 000000000 | State of Incorp.: DE | Fiscal Year End: 1231Type: D | Act: 33 | File No.: 021-394716 | Film No.: 21806334

PETage
Oct 14th, 2026
AI Sales Rep startup Forgepoint raises $9.8M to help manufacturers quote faster.

AI Sales Rep startup Forgepoint raises $9.8M to help manufacturers quote faster. Pet Age Staff//October 14, 2026// American manufacturers can often make a part faster than they can get a quote back to the customer asking for it. That mismatch is the result of decades of automation reaching the shop floor, but rarely the office around it. Forgepoint is tackling that with Frank, an AI Inside Sales Rep built for manufacturing. Frank works alongside quoting teams across the emails, documents, pricing logic, and systems they already use, helping them move from incoming request to customer-ready quote far faster. Forgepoint recently announced a $9.8 million seed round led by Primary Venture Partners and a16z speedrun, with angel investors from OpenAI, Brex, Vercel, and SoFi also participating. The funding will bring Frank to more manufacturers, deepen integrations with the systems they already use, and grow its world-class team. Frank analyzes part files, prepares pricing using each manufacturer's own cost model, routes engineering work for human review, and follows up with the customer after approval. Engineers, estimators, and salespeople keep the technical and commercial decision making, while Frank handles the administrative work between them. Forgepoint reached a seven-figure ARR within six months of Frank's launch. Hundreds of engineers, estimators, and sales reps now use Frank each week, and across customers monthly quote throughput is up an average of 30% while time-to-quote has fallen by more than 55%. From Silicon Valley to the American Heartland Before Forgepoint, CEO Jack Strauss spent his career in industrials at Northrop Grumman, Bain & Company's Advanced Manufacturing practice, and aerospace systems integrator Xwing. He kept seeing the same disconnect: manufacturers invested heavily in automating the shop floor, while everything before and after production still moved through email, spreadsheets, and aging enterprise systems. In early 2025, Strauss and co-founder Alex Pareto, formerly Head of Engineering for Brex's Spend Management organization, spent months touring plants across the Midwest, shadowing employees and studying their processes to find where the bottlenecks were and why. "In those early days, we simply wanted to learn, as if we had been hired to do the job ourselves. We knew that before we could solve the problem, we needed to understand it deeply" said Alex Pareto, Co-Founder and CTO. The two came away convinced that the frontier AI developing in front of them in Silicon Valley could remove many of the bottlenecks they were seeing on factory floors across the Midwest. Starting with Inside Sales Inside Sales was the natural starting point. It is directly tied to revenue: a shop's capacity to answer RFQs determines how much business it wins. Second, when it comes to winning jobs, speed matters now more than ever. A 2025 Gardner Intelligence study found that nearly 50% of manufacturers expect a vendor response within 24 hours. That is a hard target when the typical RFQ arrives as an email with several attachments and missing specifications. An estimator may need to contact the customer, find similar jobs, build a cost model, secure engineering approval, apply margins, enter pricing into the ERP, generate the quote, update the CRM, and manage follow-up. Expert judgment is critical for a few of those steps. The handoffs and data entry around them stretch the process from hours into days or weeks. "We kept meeting manufacturers with strong demand and capable teams, but their best people were spending hours on administrative work. Speed is a competitive advantage, so we built Frank to keep jobs moving and free skilled operators to focus on the decisions only they can make," said Jack Strauss, CEO and Co-Founder of Forgepoint. How Frank works Frank joins a manufacturer like a new employee. He gets an email address at the company's domain and learns the shop's operating procedures, pricing rules, and approval requirements. When an RFQ arrives, he reads the email and attachments, flags missing requirements, and contacts the buyer for clarification. He prepares the quote using the manufacturer's own cost model, surfaces similar historical jobs, and routes the draft to the right reviewer. After approval, he creates the final document in the company's template, sends it, manages follow-up, and records the correspondence. Because quoting and pricing look radically different from shop to shop, Forgepoint configures Frank around how each one already works. At a metal service center Frank matches material lists and cut lengths against the catalog, applies customer-specific pricing, and checks inventory. At a foundry he reviews part files, gathers missing drawing specifications from the buyer, and prepares a first draft for an engineer. Across injection molding, automation, fabrication, stamping, and machining, the day-to-day differs but the goal is the same: quote faster, quote more, and win more deals. Early customer results On average, Forgepoint customers increase monthly quote throughput by 30% and cut time-to-quote by more than 55%, giving skilled operators more time back in their day."Before Forgepoint, we were building quotes by hand and barely keeping up. Now, Frank drafts and I can approve it in two minutes. I'm spending less time entering data and more time serving my customers," said Chas Aday, Founder and CRO of SIP Manufacturing. As Frank works, it also preserves the emails, attachments and reasoning behind every decision, building a memory of how each shop prices work. That matters as veteran employees retire and manufacturers risk losing years of pricing logic, customer preferences and exceptions that live in their heads and inboxes. "A manufacturer's ability to grow depends on how much work its team can quote, plan, and manage," said Zach Fredericks, Principal at Primary Venture Partners. "Forgepoint is giving those teams more capacity, starting with quoting. We backed Jack and Alex because they understand the details of that work and have a clear ambition to bring the same approach across the entire manufacturing back office."

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