Web Apps, Data & AI Research & Development
We build custom web applications, deliver data analytics & visualization, and run AI research & development—for teams that need reliable software, clear insight, and applied AI.
Our Services
We focus on three areas: web application development, data analytics & visualization, and AI research & development.
Web based application development
Custom web applications, dashboards, and internal tools—secure, scalable, and aligned with how your team works.
Learn More →Data analytics & data visualization
Turn raw data into clear insights: pipelines, reporting, and interactive visuals that support better decisions.
Learn More →AI research & development
Applied AI R&D—from experiments and prototypes to models and systems tailored to your domain.
Learn More →AI Research & Development
Pioneering research in AI, knowledge representation, and ontology-driven systems—linking formal semantics with models, data, and real-world domains.
Explore All Research
Generative AI
Advanced research in generative AI models, exploring novel architectures and training methodologies for improved performance and efficiency.
Multimodal Learning & RDT
Research on multimodal learning approaches and relational data transformation techniques for enhanced AI understanding.
Multimodal RDT with Data Science
Integrating data science methodologies with multimodal learning and relational data transformation for robust AI systems.
LLM Free Text Processing
Exploring large language models' capabilities in processing and understanding unstructured free text with improved accuracy.
Knowledge Ontology
Developing structured knowledge ontologies to enhance AI systems' understanding of domain-specific information and relationships.
AI Life Cycle Engineering
Research on comprehensive AI lifecycle management, from development to deployment and continuous improvement.
More research publications coming in 2026
Stay tuned for work on knowledge graphs, multimodal learning, and ontology-backed AI systems
Ontologies & semantic foundations
A unified layer of meaning across AI, applications, and data—so everything stays consistent from idea to implementation.
AI research & development
Knowledge graphs, taxonomies, and formal or lightweight semantics; experiment, dataset, and model metadata; alignment between domain concepts, evaluation metrics, and ML pipelines.
Web application development
Information architecture, domain-driven models, API and entity schemas, design-system vocabularies, and accessibility semantics for coherent, interoperable product surfaces.
Data analytics & visualization
Dimensional and metric ontologies, business glossaries and data catalogs, lineage and quality semantics, plus visualization grammars so dashboards and reports stay comparable and trustworthy.
Our Partners Are
Our Strength
Trusted by leading organizations across Sweden
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