Sweden is known for its strong innovation ecosystem — but beneath the surface, there’s a structural challenge that many founders quietly struggle with: fragmentation.
Now, a group of incubators is working to solve exactly that with a new initiative called NILLA — an AI-powered assistant designed to connect the country’s innovation infrastructure into one coherent system.
The Hidden Problem: A System That’s Hard to Navigate
Despite having a rich landscape of incubators, science parks, and funding programs, access to support often depends on geography rather than need.
An entrepreneur in northern Sweden might require:
- A testbed located in southern regions
- Specialized expertise unavailable locally
- Connections that simply aren’t visible across regional boundaries
According to insights shared by Lillemor Lindberg from Innovatum Science Park, the issue isn’t a lack of resources — it’s a lack of coordination.
Startups are often “routed around” the system before finally reaching the right support — wasting time, energy, and momentum.
Enter NILLA: AI That Understands Startup Needs
NILLA (Nationellt Innovationsstöd – Lättillgängligt och Likvärdigt för Alla) is designed as a single entry point into Sweden’s innovation system.
At its core is an AI assistant — NillAI — that does something surprisingly simple, yet powerful:
it asks the right questions.
Instead of static directories or complex application processes, startups engage in a dialogue:
- What stage is your business at?
- What do you need to validate next?
- Is your biggest bottleneck funding, testing, or customer access?
Based on the answers, the system generates a tailored “recipe”:
- Relevant testbeds
- Matching incubators
- Funding opportunities
- Key ecosystem actors
Crucially, it doesn’t point to a single gatekeeper — it offers multiple pathways.
Not Just Tech — A Structural Shift
What makes NILLA particularly interesting is that it’s not framed as a pure tech solution.
As Lindberg emphasizes, this is fundamentally a coordination problem, not a technology gap.
The AI acts as:
- A translator of the system
- A navigator through complexity
- A scaling layer for knowledge typically held by incubators
In other words, it replicates the guidance a startup would normally receive — but makes it accessible to anyone, anywhere.
Why FoodTech Comes First
The pilot phase focuses on FoodTech — and for good reason.
Research from Sweden Food Arena shows that 7 out of 10 small food companies lack access to testing and development environments, particularly outside major cities.
Food innovation often requires:
- Physical testing facilities
- Regulatory navigation
- Specialized expertise
At the same time, pathways to these resources are often unclear.
This makes FoodTech the perfect stress test for a system like NILLA.
A Vision Beyond Regions
NILLA is backed by key public stakeholders, including:
- Tillväxtverket
- Region Västra Götaland
- Region Skåne
The long-term ambition goes beyond an AI tool.
Future discussions include:
- A national coordination model
- Cross-regional funding mechanisms
- “Pay-it-forward” systems where regions support each other’s startups
If successful, this could fundamentally reshape how innovation support works — moving from regional silos to a truly national ecosystem.
Why This Matters for Europe
NILLA points to a broader shift relevant far beyond Sweden.
Across Europe, innovation systems are often:
- Rich in resources
- Poorly connected
What Sweden is testing here is a new layer:
AI as infrastructure for navigating innovation ecosystems
If it works, the implications are significant:
- Faster startup journeys
- Better resource utilization
- More equitable access to support
The Bottom Line
Innovation doesn’t fail because of a lack of ideas — it fails because of friction.
NILLA is an attempt to remove that friction:
- One entry point
- One intelligent dialogue
- One connected system
And if it delivers, it could turn Sweden’s already strong ecosystem into something even more powerful — a system where geography no longer defines opportunity.

















































































