We build custom AI solutions for Norwegian businesses using cloud infrastructure. Our senior developers integrate LLMs, train ML models, and deploy scalable systems on AWS and Azure—delivering working software, not PowerPoints.
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Product strategy and technical roadmapping
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Technical infrastructure and data architecture review. We analyze your existing systems, identify bottlenecks, and provide actionable recommendations for optimization.
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From prototype to production We handle the critical transition from proof-of-concept to live deployment. This includes setting up CI/CD pipelines, configuring production infrastructure, implementing monitoring and error tracking, and ensuring your application scales reliably. Whether deploying to Vercel, AWS, or your preferred platform, we make sure your launch is smooth and your system stays stable.
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Ethics-first development approach. We build responsible AI systems with clear boundaries, implement GDPR-compliant data handling by default, and follow WCAG accessibility standards. Every project includes documentation on data usage, model limitations, and potential risks. We won't build surveillance tech, manipulative dark patterns, or anything that exploits user privacy.
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Performance monitoring & scaling solutions We implement comprehensive monitoring stacks and scaling strategies for growing applications. From setting up Datadog dashboards and Sentry error tracking to architecting auto-scaling infrastructure on AWS or Kubernetes. We help teams identify bottlenecks before they become incidents and build systems that handle 10x traffic without breaking a sweat.
Cloud AI solutions for Norwegian businesses that need practical, scalable implementations. We analyze your existing data infrastructure and workflows to identify where AI can create real value. Our approach combines strategic planning with hands-on technical execution — from designing system architectures to deploying production-ready solutions.
We build AI systems that integrate seamlessly with your operations. This includes custom LLM integrations for automation, ML models for data analysis, and cloud infrastructure that scales with your needs. Every solution comes with proper governance frameworks and monitoring to ensure reliability and compliance.
Our process: technical audit of your current state, roadmap development aligned with business goals, pilot deployments to prove value, full implementation with documentation, and ongoing optimization. We handle the complexity so you can focus on results.
Based in Norway, we understand local business needs and regulations while leveraging global cloud platforms like AWS and Azure. We deliver execution-ready strategies backed by senior technical expertise — no theoretical recommendations that sit on a shelf.
Strategic roadmap detailing specific use-cases, technical requirements, and implementation timeline with clear milestones
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A comprehensive workshop report documenting your strategic objectives, success metrics, and technical roadmap. You'll receive actionable KPIs tied directly to business outcomes, not vanity metrics.
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Comprehensive audit report detailing current data quality issues, infrastructure gaps, and actionable recommendations for ML readiness
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Detailed gap analysis identifying technical debt, security vulnerabilities, and performance bottlenecks. Actionable mitigation plan with prioritized fixes and implementation timeline.
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Working prototype with performance metrics and actionable recommendations for next steps
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Technical architecture documentation including API design, database schema, infrastructure requirements, and scaling roadmap for sustainable growth
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Clear governance documentation defining ethical AI use, data handling standards, and regulatory compliance protocols for your AI systems
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KPI framework with specific metrics to measure feature adoption, user engagement, and business impact
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Live monitoring dashboards and alerting systems for tracking application health, user behavior, and key metrics
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Change management documentation including training materials, implementation timeline, and stakeholder communication plan
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