Services

Three services, one principle: build instead of listen.

Spark, Ignite and Blaze differ in depth, duration and group size. The result is always the same: working AI solutions inside your own process.

Teams that have built with us

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Services

AI hackathons as a service

Three services, one principle: your team builds hands-on on real problems and leaves with a working prototype. Pick by team size, depth and time.

Spark

One day, one focused problem, up to 10 participants. The fastest path to a first real AI result.

What you get
  • Discovery & challenge selection
  • ·1 day facilitated build sprint
  • ·Tool stack setup for all participants
  • ·One working prototype
  • Handoff documentation
  • ·Closing demo with the team
You work with
  • Facilitator & AI engineer
  • ·Prompt and automation coach
Ideal for
  • ·Teams kicking off AI adoption
  • ·Up to 10 participants from one department
  • ·One clearly scoped process pain point
Discovery call

Trusted by teams like

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Ignite

Two days, several teams, serious prototypes. For 10 to 15 participants under real delivery pressure.

What you get
  • Everything in Spark
  • ·2 day sprint with parallel teams
  • ·2 to 3 challenges at once
  • ·Technical review per team
  • Integration check on your systems
  • ·Roadmap for what comes next
You work with
  • Facilitator & 2 AI engineers
  • ·Solution architect
  • ·Prompt and automation coach
Ideal for
  • ·10 to 15 participants across roles
  • ·Several processes stuck at once
  • ·Prototypes meant to reach operations
Discovery call

Trusted by teams like

NavVis LogoYOYABA Logo

Blaze

Three to five days, 15+ participants, production-ready results. For broad and deep anchoring.

What you get
  • Everything in Ignite
  • ·3 to 5 day sprint week
  • ·Challenge portfolio across departments
  • ·Production-ready deployment setup
  • Governance and EU AI Act check
  • ·Enablement session for leadership
  • ·30 days of follow-up support
You work with
  • Program lead & 3+ AI engineers
  • ·Solution architect
  • ·Compliance sparring
Ideal for
  • ·15+ participants, several departments
  • ·AI should stick in daily work
  • ·Results must go to production
Discovery call

Trusted by teams like

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For organizations with several teams

Enablement as a Service

Recurring sprints, a fixed tool stack and documented handoffs. Instead of a single event, AI adoption becomes the operating system of your department.

What you get
  • ·Quarterly sprint series
  • ·Fixed tool stack & license setup
  • ·Internal champions training
  • ·Prototype backlog & prioritization
You work with
  • ·Program lead
  • ·AI engineering team
  • ·Solution architect
  • ·Compliance sparring
Ideal for
  • ·Organizations with 100+ employees
  • ·Several departments in parallel
  • ·AI as a lasting capability, not an event

Formats at a glance

Spark, Ignite and Blaze

Three depths of the same principle. Pick the format that fits your time budget and team size.

Next step

Ready for your hackathon?

Book a discovery call directly, we clarify goal, format and date in the call.

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FAQ

Frequently asked questions about the services

The questions that come up most often before booking.

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.

There is no proof of participation at the end, there is a working result: built workflows that keep running in daily operations.

For teams in marketing, sales, operations, product and IT. Coding skills are not required, the facilitation is built so every team ships a working prototype.

Usually one week: scoping call, use-case selection, access and tool setup. After that the sprint is ready to run.

You decide which data enters the sprint. Access, privacy and boundaries are agreed upfront and we only work with approved material.

You do. Prototypes, automations, workflows, prompts and generated code belong to your company after the sprint.