Spark
1 dayUp to 10 people
A focused first taste of building with AI, ending in one shipped prototype.
- AI foundations + tool workshop
- One team, one real challenge
- One working prototype
- Literacy record for participants
Hands-on AI enablement for corporate teams worldwide
The corporate AI hackathon that turns employees into AI power users in one week.
Your people solve a real business problem with modern AI tools, on your own data, and leave with a working prototype, not slides and a certificate.
1 week to prototype
Built by your team
Literacy documented
Teams we have built with
The market moved
The shift from chatbots to agents
AI now means agents that read mail, draft in your voice, pull data, and ship work. Teams that only know how to prompt a chatbot are already behind teams that build and run their own agents.
Upskilling has to catch up to that shift, and a slide deck cannot.
Our services
Three ways to run your hackathon
Every engagement is shaped around your team, your data and your tools. Pricing on request, never a fixed package.
Ignite
2 days10–15 people
Multiple teams turn their own challenges into working prototypes side by side.
- Everything in Spark
- 3–5 prototypes on your real data
- Result pitches with scoring
- Impact report with adoption figures
Blaze
3–5 days15+ people
Department-wide enablement with deeper, production-minded builds.
- Everything in Ignite
- Production-minded architecture
- IT handoff package
- Internal AI champions cohort
Traditional training vs hackathon
Why classroom AI training fails
Output
Classroom training / e-learningCertificate or completion badge
AI hackathonA working prototype your team built
Retention
Classroom training / e-learningUnclear without transfer measurement
AI hackathonMeasurable via prototype quality and usage
Adoption after 30 days
Classroom training / e-learningMinimal, tools go unused
AI hackathonHigh, tools stay in daily use
Proof of ROI
Classroom training / e-learningHard to show
AI hackathonTangible projects and shipped results
Format
Classroom training / e-learningLectures and slides
AI hackathonHands-on, real data and real tools
Time to result
Classroom training / e-learningWeeks to months
AI hackathon1 week
Compliance
Classroom training / e-learningAttendance record
AI hackathonDocumented AI literacy measures
Public LinkedIn posts
In their own words
For me it was seeing people who've never touched Lovable or Cursor spin up a working AI tool in 24 hours.
24 hours, lots of ideas, not that much sleep... and somehow we turned it into a working product.
By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own.
What participants post publicly
No polished testimonial deck, just real posts published right after the hackathons.
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Challenges
The problem a hackathon solves
Three things break AI adoption in companies. The format is built to fix all three at once.
Knowledge that never lands
Courses explain tools in the abstract. Two weeks later nobody remembers, and adoption is back to zero.
- Passive learning, no transfer
- Fixed by building on real work
No output to show
Leadership funds training and receives an attendance list. There is nothing to point at and nothing to reuse.
- 3–5 prototypes on your data
- Impact report with time saved
No path to production
Even good pilots die when IT was never in the room and nobody documented how the thing works.
- IT handoff package
- Skills library and champions
Free resources
Check our free resources
A part of what we build with is free to take: ready-made AI skills for your agents, canvases and tools for preparation, a prompt and MCP library from real projects, plus a curated directory of the tools our teams actually use. No login needed.
AI skills
Free AI Skills
Ready-made, reusable skills for your AI agents. One command to install, usable across the team the same day.
Tools
Free Tools
Canvases, comparison grids and checklists for preparation. Usable right away, no sign-up.
Library
AI Prompt & MCP Library
Proven prompts and MCP setups from real hackathons. Copy, adapt, put to work.
Directory
AI Tool Directory
A curated directory of the tools our teams really build with, with use case and pricing.
Tech stack
The tools your team will actually use
Benefits
Adoption that keeps climbing after day one
Classroom training peaks on the day and decays. Hackathon adoption compounds, because people keep using what they built themselves.
- Measurable adoption inside the participating team
- Prototypes that survive the week and keep saving hours
- Documented AI literacy measures that can support your Article 4 documentation
- Internal champions who train their own sub-teams
Classroom trainingAI hackathon
Day 1
Week 2
Week 4
Week 8
Week 12
Illustrative adoption curve from client engagements.
Next steps
From first call to shipped prototype
- 1
Discovery call
We get to know your team, your goals and where AI moves the needle.
- 2
Tools & challenges call
We agree the real problems your teams tackle and the tools that fit.
- 3
Finalisation
Participants, details, data and access are locked in.
- 4
Hackathon prep
Environments, accounts and the stack are ready, so day one is building.
- 5
Tool workshop
A fast, hands-on intro so everyone starts from the same footing.
- 6
Hackathon sprint
Teams build on real data with coaches on hand. This is where upskilling happens.
- 7
Result pitches
Working prototypes presented, plus your AI literacy measures record.
Book a slot
Ready to turn learning into working prototypes?
Start with one team. In one week, leave with practical skills, shipped output and momentum. Just pick a free slot below.
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FAQ
Frequently asked questions
Still something open? We clear it up in 20 minutes.