Next steps to your hackathon
- Intro call. Clarify starting point, teams and goals.
- Tools and challenges call. Pick the real challenge, set the toolstack.
- Finalization and preparation. Set up access and data, GDPR compliant.
- Tool workshop and sprint. Hands-on on your own case with live coaching.
- 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 /en/comparison/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 /en/ai-training.
What does a recurring hackathon series mean? Quarterly runs across the portfolio companies, so AI enablement becomes a fixed playbook and every company reaches a comparable level. The process is on /en/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 /en/formats and the comparison to a pure hackathon at /en/comparison/ai-training-vs-ai-hackathon.
