For investors and founders

The AI talent partner for your entire portfolio.

From a startup’s first AI, ML, or data science hire to a founding technical team, Tenzor helps your portfolio companies win the talent that defines whether they make it.

Official Y Combinator deals partner. YC founders find Tenzor on Bookface.

What we offer funds and founders

Three ways we work with your portfolio.

  1. Portfolio-wide partnership

    One talent partner across your companies, with shared market intelligence and consistent quality — instead of every founder starting from zero.

  2. Founding technical hires

    AI engineers, ML engineers, data scientists, and first AI leaders — pre-vetted by people who have screened these roles at scale.

  3. Talent advisory

    Compensation benchmarks, org design, and hiring strategy for founders making their first technical hires — from a front-row seat to the AI talent market.

The problem we solve for your portfolio

A wrong first technical hire can cost a seed-stage company a year.

Your portfolio companies are competing for the same scarce AI engineers as labs and Fortune 50s — usually without a recruiting function, a comp framework, or the time to build one.

We make sure that hire is right.

How it works with funds

Simple by design. No long-term lock-in.

  1. Align on priorities

    We align with your platform or talent team on portfolio priorities before anything begins.

  2. Companies engage as needed

    Portfolio companies engage us as needs arise — no long-term lock-in required.

  3. Consistent quality across the portfolio

    You get shared market visibility and consistent hiring quality — not a different experience at every company.

Talent advisory — what’s included

Your first technical team, built right.

For early-stage companies hiring their first AI, ML, or data science team, we offer a structured engagement.

  1. Flat-fee hiring

    One flat rate per hire, never a percentage. The same pricing YC founders get.

  2. AI, ML & data science role architecture

    Define exactly which roles you need, in what order, and why — aligned to your product roadmap and funding runway.

  3. Compensation benchmarking

    Real market data on what AI talent costs in 2026 — base, equity, and contract rates — so your offers land.

  4. Employer brand development

    We help you tell your story to candidates who have options. Mission, equity upside, and technical challenge — framed to compete.

  5. University pipeline setup

    Direct access to graduates from our six partner programs, including Duke MIDS, NC State IAA, Georgia Tech, UC Berkeley, and the University of Washington.

  6. Hiring roadmap

    A phased plan from today through 18 months — prioritized by business impact, sequenced by budget, and built to scale.

University partnerships

Direct access to graduates ready on day one.

We maintain active recruiting relationships with some of the most respected applied AI and data science programs in the country — giving our clients direct access to graduates who are ready to contribute from day one.

  • Duke University MIDS
  • NC State Institute for Advanced Analytics
  • Georgia Tech MS in Analytics
  • UC Berkeley MIDS and MIMS
  • University of Washington MS in Data Science
  • UNC Chapel Hill Data Science Programs
See University Partners →

Let’s talk about your portfolio.

Whether you have one company that needs its first AI, ML, or data science hire or twenty that need a talent partner — we’d love to connect.

Book a call