Case Studies/Støtteportalen
Data Science & AI • Norway

26,976+ Norwegian Grants Classified with
AI-Powered Automation

How we partnered to build an intelligent grant discovery platform that scraped and classified thousands of Norwegian government grants across 169+ variables using advanced AI/ML, helping Norwegian companies unlock millions in funding opportunities.

26,976+
Grants Classified
169+
AI Variables
100s
Grant Providers

About Støtteportalen

Støtteportalen is a Norwegian government grant discovery platform designed to help Norwegian businesses navigate the complex landscape of public funding opportunities.

With thousands of government grants ("støtteordninger") available from hundreds of different providers—ranging from Innovation Norway to regional development funds—Norwegian companies face an overwhelming challenge: finding the right funding for their specific needs.

Traditional grant discovery involved hours of manual research across disparate websites, unclear eligibility criteria, and missed opportunities. Støtteportalen needed an intelligent system to aggregate, classify, and present this data in a way that Norwegian businesses could actually use.

Industry
GovTech / Data Platform
Location
Norway
Target Market
Norwegian Businesses
Project Type
AI Data Platform

The Challenge

Massive Data Scale
Scrape and process thousands of grant listings from hundreds of Norwegian government providers with inconsistent data formats
Intelligent Classification
Use AI/ML to classify and verify grants across 169+ variables (eligibility, amount, deadline, sector, region) with high accuracy
Multi-Layered Extraction
Build advanced backend panels for managing complex, multi-layered data extraction from diverse and changing sources
Live Platform Requirements
Deploy a production-ready platform while continuously improving data quality and expanding grant coverage

Our Solution

A comprehensive AI-powered data platform combining intelligent web scraping, machine learning classification, and advanced backend systems

Intelligent Web Scraping System

Built a robust, distributed web scraping infrastructure to extract grant data from hundreds of Norwegian government websites, handling inconsistent formats, dynamic content, and rate limiting.

  • Automated scraping from 100+ government sources
  • Adaptive extraction handling format changes
  • Real-time monitoring and error recovery

AI/ML Classification Engine

Developed machine learning models to automatically classify and verify grant data across 169+ structured variables, transforming raw text into actionable, searchable metadata.

  • 169+ classification variables (sector, region, eligibility, deadlines)
  • Natural language processing for Norwegian text
  • Continuous model retraining and validation

Advanced Backend Admin Panels

Created sophisticated backend management interfaces for data operations teams to monitor extraction pipelines, validate AI classifications, and manage grant provider integrations.

  • Real-time extraction pipeline dashboards
  • Bulk data validation and correction tools
  • Provider integration management

Multi-Layered Data Architecture

Designed a scalable data architecture supporting multi-layered extraction from diverse sources, with automated quality checks, deduplication, and continuous data enrichment.

  • Distributed extraction workflows
  • Automated data quality validation
  • Version control and data lineage tracking

Platform Impact

Live platform delivering comprehensive grant discovery for Norwegian businesses

26,976+
Government Grants Classified
Comprehensive coverage
169+
AI Classification Variables
Sector, region, eligibility, amount
100+
Grant Provider Sources
Innovation Norway, regional funds
Live
Production Platform
Continuously improving

Key Achievements

Complete Grant Coverage
Successfully scraped and classified thousands of Norwegian government grants from all major providers
AI-Powered Accuracy
Machine learning models accurately classify grants across 169+ variables, reducing manual work by 95%
Scalable Infrastructure
Robust backend systems handle continuous data extraction, validation, and enrichment at scale
Live Production Platform
Successfully deployed to production with ongoing improvements and expansion

Business Impact

"Støtteportalen transforms how Norwegian businesses discover funding opportunities. What used to take weeks of manual research now happens instantly, with intelligent matching and comprehensive coverage."
Time Saved per SearchHours → Minutes
Grant Coverage26,976+ Listings
Classification AccuracyAI-Verified
Platform StatusLive in Production

Technology & Approach

Enterprise-grade technologies powering intelligent grant discovery

Data Collection

  • Distributed web scraping
  • API integrations
  • Real-time monitoring
  • Error recovery systems

AI & ML Models

  • Natural language processing
  • Classification algorithms
  • Entity extraction
  • Continuous retraining

Backend Platform

  • Admin panel interfaces
  • Pipeline orchestration
  • Data validation tools
  • Quality assurance systems

Key Takeaways

AI-Powered Data at Scale

Successfully deployed AI/ML classification across 26,976+ grants and 169+ variables, demonstrating the power of machine learning for large-scale data processing.

Robust Data Infrastructure

Built a scalable, production-ready platform handling diverse data sources, multi-layered extraction, and continuous quality improvement.

Advanced Backend Tooling

Created sophisticated admin interfaces enabling non-technical teams to manage complex data pipelines and validation workflows.

Real-World Impact

Transformed grant discovery for Norwegian businesses, reducing search time from hours to minutes while providing comprehensive coverage.

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