EU AI Act Article 4: participation record and documentation of the measure. Learn more →

Audience

AI training for private equity and portfolio companies

AI training for PE that enables multiple portfolio companies at scale. Recurring hackathon series. Ready in just 1 week.

Next steps to your hackathon

  1. Intro call. Clarify starting point, teams and goals.
  2. Tools and challenges call. Pick the real challenge, set the toolstack.
  3. Finalization and preparation. Set up access and data, GDPR compliant.
  4. Tool workshop and sprint. Hands-on on your own case with live coaching.
  5. Result pitches. Each team shows its prototype.

Challenges for private equity and portfolio companies

Typical challenges are a portfolio reporting autopilot, a due diligence research agent, a data room and document assistant, an internal knowledge bot and an executive reporting tool for board updates. A playbook built once can be rolled out across several portfolio companies. Your challenge comes from your real work.

AI training vs. AI hackathon (short)

A classic training ends with a certificate and retention that is unclear without transfer measurement. The hackathon ends with a working prototype and measurable practical transfer. See the full comparison at AI training vs. AI hackathon.

FAQ

How do we enable several portfolio companies at once? That way enablement scales across the portfolio instead of sitting in one asset. More on the approach at AI training.

What does a recurring hackathon series mean? Recurring runs across the portfolio companies, so AI enablement becomes a fixed playbook and every company reaches a comparable level. The process is on how we work.

Which format fits per portfolio company? Spark runs 1 day for up to 10 people, Ignite 2 days for 10 to 15, Blaze 3 to 5 days for 15 plus, depending on company maturity. See the formats at formats and the comparison to a pure hackathon at AI training vs. AI hackathon.

Discovery Call

Book your slot directly

30 minutes to clarify your starting point, team size and the right challenges. You will know which format fits afterwards.

cal.com · Discovery Call

The calendar is loaded from cal.com and sets its own cookies for that. We load it only once you agree, or you request it directly here.

Or book directly on cal.com

On LinkedIn

The AI hackathon at YOYABA, in public posts

Three public LinkedIn posts by Tim Rath (YOYABA) and a participant, written right after the hackathon.

LinkedIn post by Tim Rath. Loading it sets LinkedIn cookies.

LinkedIn post by Tim Rath. Loading it sets LinkedIn cookies.

LinkedIn post by Marie Klamer. Loading it sets LinkedIn cookies.

Testimonials

What participants say

Approved LinkedIn posts and comments from real hackathons.

Participant feedback screenshot 1 from a AI hackathon
Participant feedback screenshot 2 from a AI hackathon
Participant feedback screenshot 3 from a AI hackathon
Participant feedback screenshot 4 from a AI hackathon
Participant feedback screenshot 5 from a AI hackathon
Participant feedback screenshot 6 from a AI hackathon