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Top Tech Startups in Scandinavia in 2026

65 results total - Page 7 of 7

Pango company logo
AI-native logistics management for e-commerce1-10 Employees

Employees
1-10
Locations
Stockholm
Industries

Jobs


CoinIQ company logo
Smarter portfolio management for crypto1-10 Employees

Employees
1-10
Locations
Estonia, Japan, Sweden
CoinIQ was built because most crypto tools only track your portfolio — they don’t help you understand it. Managing multiple wallets and exchanges is still messy, and getting a clear picture of risk, returns, and diversification often means juggling spreadsheets. CoinIQ connects your wallets and exchanges into a single unified view and layers on analytics you’d normally find in traditional finance: performance attribution, volatility, diversification metrics, and drawdown analysis. On top of that, we’ve added an AI insights engine that surfaces rebalancing suggestions and explains why your PnL looks the way it does. We also provide crypto-specific insights like anomaly detection (useful for spotting rug pulls) and portfolio-level news summaries tied directly to your holdings.
Industries

Jobs


Compethic company logo
Compethic is a Norwegian AI-driven customer intelligence platform1-10 Employees

Employees
1-10
Locations
Oslo
Industries

Jobs


Vallora company logo
AI-powered property intelligence. 2-3 days of legal review → 5 minutes1-10 Employees

Employees
1-10
Locations
Copenhagen
Real estate agents, lawyers, and commercial brokers spend 2-3 days manually reviewing legal property documents for every transaction. They're looking for servitudes, easements, restrictions, and other legal complications buried in decades-old paperwork. It's manual, slow, error-prone, and costs the European real estate industry billions annually. We're building the AI that automates this completely. Vallora analyzes legal property documents in under 5 minutes with 99%+ accuracy. We extract restrictions, flag risks, and deliver structured reports that speed up €2M+ property transactions. What took a lawyer 2-3 days now takes our AI 5 minutes. The hard problems we're solving: Understanding legal language across 70+ languages and dialects. Danish property law from 1950 looks nothing like Swedish law from 2020. Our AI needs to understand both. Processing 100-year-old scanned documents. OCR that can read handwritten notes from 1923, extract relevant clauses, and understand legal context. Edge cases that break traditional NLP. Properties with 15+ overlapping servitudes, contradictory historical restrictions, or documents missing critical pages. Scaling across 13 European markets with different land registry systems, legal frameworks, and document formats. Denmark uses one system, Germany another, Norway a third. Building trust with conservative industries. Real estate and legal professionals don't adopt new tech easily. Every mistake costs millions. We need 99.9%+ accuracy, not 95%. Current state: €17K ARR, €241K pipeline, 7-person team. Customers in pipeline include Kromann Reumert, DLA Piper, HOME, Estate, Danbolig. Expanding from Denmark to Sweden, Norway, Germany. Market: €407M TAM across 13 European markets with digital land registries. We're building the intelligence layer for European real estate transactions.
Industries
Company Industries
Europe

Jobs


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