We build custom AI and machine learning solutions for Norwegian businesses. From LLM-powered features to trained models, we deliver production-ready systems that solve real problems.
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Technical strategy and product roadmapping. We help you plan what to build, in what order, and with which technologies. From MVP architecture to multi-year platform evolution.
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Technical infrastructure and data architecture review. We examine your systems for performance bottlenecks, security vulnerabilities, and scaling issues. Deliverables include prioritized recommendations and implementation roadmaps.
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Launch strategy and deployment We handle the critical transition from development to production. This includes deployment setup, monitoring configuration, performance optimization, and handoff documentation. We ensure your project launches smoothly and stays stable post-launch.
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Responsible AI implementation We build AI systems with safeguards against bias, misuse, and unintended consequences. This means data privacy by design, transparent decision-making processes, and clear documentation of model limitations. We help you navigate AI regulations and establish internal guidelines that protect both your users and your business.
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Infrastructure monitoring, automated scaling, and DevOps pipelines. We set up comprehensive observability with Datadog or New Relic, implement auto-scaling on AWS/GCP, and build CI/CD workflows that actually work. Your ops team gets alerts that matter, not noise.
Machine learning development Norway at Dev, in delivers custom AI solutions built for your specific business needs. We work with proven technologies — OpenAI and Anthropic APIs for LLM features, custom models when standard solutions don't fit. Our approach starts with understanding your data, infrastructure, and existing workflows. We identify where ML can drive real value, not just where it sounds impressive.
We build practical systems: chatbots that actually help customers, content generation tools that match your brand voice, data analysis pipelines that surface actionable insights. Every solution integrates cleanly with your current tech stack. We design for production from day one — considering scale, reliability, and governance before writing code.
Our ML development process includes technical audits, proof-of-concept builds, production deployment, monitoring systems, and documentation your team can actually use. We help establish ML governance frameworks that keep you compliant and in control. Senior developers only — we've deployed ML systems before and know the pitfalls. Machine learning development Norway with Dev, in means getting systems that work in the real world, not just in demos.
Strategic roadmap outlining your project's use cases, technical milestones, and realistic timeline for delivery
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Detailed workshop findings document including agreed objectives, success metrics, and implementation roadmap
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Comprehensive audit report covering data quality assessment, infrastructure evaluation, and actionable recommendations for ML readiness
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Comprehensive assessment report identifying technical gaps and security risks in your codebase, along with prioritized action items to fix them. We'll review your architecture, dependencies, and development practices to spot issues before they become expensive problems.
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Pilot project with clear success metrics, documented learnings, and actionable next steps for scaling
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Technical infrastructure documentation including API architecture, database schemas, deployment pipelines, and scaling roadmap for handling increased load
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Comprehensive governance framework documenting ethical AI use, data handling policies, and compliance protocols aligned with your regulatory requirements
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Performance metrics and KPI dashboard to measure feature adoption, user engagement, and business impact
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Real-time monitoring dashboards and alerting systems for tracking application health, user behavior, and business metrics
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Documented change management strategy including team training materials, rollout timeline, and communication templates for stakeholder updates
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