Since AI 2026 brings together more than 1,000 ambitious AI builders, engineers, researchers, founders, designers, and technical operators in Turku, Finland.
This is not a conference.
During an intensive three-day build event, participants form multidisciplinary teams, select one of 15 carefully scoped real-world challenges, and turn it into a working AI prototype.
The focus is on execution:
- Working code
- Functional demonstrations
- Technical experimentation
- Real industry problems
- Concrete paths toward pilots and continued development
- €50,000 total prize pool
- 15 real-world company challenges
- More than 1,000 builders onsite
- Technical mentors and research expertise
- Access to leading AI technologies and infrastructure
- Connections to companies, investors, researchers, and potential employers
- Opportunities for pilots, recruitment, commercialization, and continued development
We are looking for people who build.
Relevant backgrounds include:
- AI and machine learning engineering
- LLMs and AI agents
- Computer vision
- Robotics and edge AI
- Data engineering and MLOps
- Software engineering
- Cybersecurity
- Applied research
- Product and design
- Entrepreneurship
You do not need a finished startup or a pre-formed team.
You need technical ambition, the ability to execute, and the willingness to collaborate with highly driven builders.
Event informationDates: 6–8 November 2026
Location: Turku, Finland
Format: In person
Participation: Free
Capacity: Limited
Application: Reviewed on a rolling basis
Early applications receive priority.
Official application requiredJoining this Devpost page does not guarantee admission.
All participants must apply through the official Since AI application platform and be accepted before attending:
https://sinceai.app/events/since-ai-hackathon-2026
Learn more:
Requirements
Build a functional AI prototype addressing one of the official Since AI 2026 challenge tracks.
Your project should:
- Address a clearly defined real-world problem
- Use artificial intelligence or machine learning as a meaningful part of the solution
- Include a working prototype or credible technical demonstration
- Be developed substantially during the official competition period
- Be technically feasible to continue after the event
- Consider responsible AI, privacy, security, and safety where relevant
Teams may use existing libraries, APIs, models, frameworks, and open-source tools.
Any pre-existing code, models, datasets, or other assets must be clearly disclosed.
What to submitEach submission must include:
- Project name
- Challenge track
- Short project description
- Problem statement
What problem does the project solve, and for whom? - Solution description
What did the team build, and how does it work? - Technical architecture
Models, frameworks, APIs, infrastructure, datasets, and technologies used. - Working prototype
Include a live demo link, executable build, API, repository, or clear testing instructions. - Code repository
A public or judge-accessible repository containing the work completed during the event. - Demo video
A public video of no more than two minutes showing the prototype in action. - Work completed during the event
Explain what was created during the official competition period. - Pre-existing assets
Disclose any code, models, datasets, designs, or other materials created before the event. - Responsible implementation
Explain how the project addresses relevant privacy, security, safety, fairness, or responsible AI considerations. - Next steps
Describe how the prototype could progress toward a pilot, product, research project, or continued development.
Only complete submissions received before the deadline are eligible for judging and prizes.
Draft projects that have not been formally submitted before the deadline will not be evaluated.
Prizes
Grand Prize
Company Challenge Winner Awards
Best Technical Execution
Best Responsible AI Implementation
Best Commercial Potential
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Jason Mayes
Web AI Lead, Google
Rasmus Harmaala
Partner, Inovexus
Jussi Kallasvuo
General Partner, Antler
Judging Criteria
-
Technical Execution — 30%
Quality of implementation, functionality, technical architecture, reliability, and the technical difficulty of the work completed during the official competition period. -
Challenge Fit and Impact — 25%
How effectively the solution addresses the selected challenge, solves a meaningful real-world problem, and creates measurable value for its intended users or stakeholders. -
Innovation — 20%
Originality of the concept and the meaningful, technically justified use of artificial intelligence, data, or other relevant technologies. -
Prototype and Demonstration — 15%
Quality of the working prototype, usability, clarity of the demonstration, and evidence that the proposed solution works in practice. -
Responsible Implementation and Feasibility — 10%
Consideration of responsible AI, privacy, security, safety, maintainability, scalability, and the realistic potential for continued development or a pilot.
Questions? Email the hackathon manager
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