Know exactly who needs your help today
Paprikka identifies long-term unemployment risks months before they show in statistics
See it in action
Interactive preview showing how Paprikka identifies risks and creates personalized reskilling paths for each user type
Unemployment Funds
Cut benefit payouts by 15%
Markus Virtanen
Risk Analysis
91/100
CRITICAL RISK
18 months unemployed, benefit period nearing its end
General construction openings down 62% YoY due to market slowdown
AI-Powered Recommendation
Transition to a Certified Geothermal Heating Technician
Confidence: 85%
Stay Current
18+ mo
to employment
Reskill Path
4-5 mo
to employment
Market Intelligence
General construction openings:34 (-62%)
Geothermal technician openings:180 (+40%)
Key skills to acquire:Pipe fitting, drilling, heat pump systems
Pilot Program
Duration
6–8 weeks
Data
CSV/API (hashed OK)
Effort
2–4h/week
Safety
EU • NDA • DPA
- Weekly risk reports for a real cohort you choose
- Actionable reskilling paths + market signals
- Two working sessions with your team
- End-of-pilot review with agreed metrics
Book 20‑min pilot scoping See full context for Unemployment Funds
Questions? Email us at hello@paprikka.fi
Example Scenario (Fictional)
"I worked in traditional construction for 15 years. The fund's tool showed me the huge demand for geothermal. Now I install clean energy systems that save people money and help the environment."
- Anna Lehtonen
How it works
Import member data
CSV import or API integration
AI analyzes risks
Risk score 0-100 for each member
Get prioritized actions
Know exactly who to help, and precisely how to help them.
Book demo
See how Paprikka can help reduce your fund's benefit payouts
Prefer email? Reach us at hello@paprikka.fi