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After the hackathon
On request you continue with the AI Implementation Sprint (2 to 4 weeks), a Recurring Hackathon Series (quarterly) or an AI Enablement Program (3 to 6 months). More at /en/next-steps/.
AI Workshop
Teams who want to start smaller begin with the 1-day AI workshop, Spark. If the day goes well and the need grows, you scale straight into this same week-long flow, up to the multi-day Corporathon hackathon.


Built for
Teams who want to start smaller begin with the 1-day AI workshop, Spark. If the day goes well and the need grows, you scale straight into this same week-long flow, up to the multi-day Corporathon hackathon.
The format
How the hackathon runs, from the 1-day AI workshop to the multi-day hackathon, with prep calls, a tool workshop and result pitches.
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On request you continue with the AI Implementation Sprint (2 to 4 weeks), a Recurring Hackathon Series (quarterly) or an AI Enablement Program (3 to 6 months). More at /en/next-steps/.
Output, not slides
A hackathon is not a seminar. It is a facilitated sprint where teams rebuild real work with AI.
0 week
from scope to ready-to-run sprint
0 formats
Spark, Ignite and Blaze
0 steps
from call to documented handoff

How it works
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Next step
Book a discovery call directly, we clarify goal, format and date in the call.
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FAQ
How the hackathon runs, from the 1-day AI workshop to the multi-day hackathon, with prep calls, a tool workshop and result pitches.
Little. Prep is on us and fits into the same week as the hackathon. From you we need two short calls, access to sample data and the choice of problems you want to solve. We build the rest.
Yes. The four prep steps and the hackathon itself run in the same window. From our first call to the result pitches takes one week. Start smaller with the 1-day AI workshop and it is ready even sooner, right after the lead-up.
We do. During the sprint we are present, unblock technical hurdles and set the pace. Your team builds, we make sure nobody gets stuck.
We work with the stack that fits you: LLM APIs, automation and data platforms, and your existing systems.
Teams of four to six work best. Overall we run everything from a single team up to several dozen participants.
All three work. On site creates the strongest momentum, remote is leaner logistically, hybrid is the usual compromise for distributed sites.
You get a documented handoff: prototypes, setup, open items and a recommendation on which results deserve to go to production.
We define target metrics before the sprint, hours saved, cycle time, quality or revenue contribution, and review them in the closing session.
Slots are usually available within two to four weeks. With a clearly scoped use case it can be sooner.
Usually not for smaller formats. As soon as production systems are connected, we bring IT and security in early.