We build custom AI solutions for Oslo businesses — from LLM integrations and chatbots to full-scale web applications. Senior developers only, transparent pricing, delivered on time.
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Strategic planning for tech initiatives — from initial concept to implementation roadmap. We help you define what to build, identify the right technical approach, and create realistic timelines that account for actual development complexity.
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Technical infrastructure review: We analyze your data pipelines, database architecture, API design, and deployment setup. You get a detailed report on performance bottlenecks, security vulnerabilities, and scalability issues — plus a roadmap to fix them.
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We handle your initial rollout with care. Whether it's a soft launch to test with real users, a phased migration from your old system, or a controlled beta program — we manage the deployment, monitor performance, and iterate based on early feedback. This includes setting up proper monitoring, handling edge cases as they appear, and ensuring your infrastructure scales smoothly as usage grows.
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Data governance & responsible AI practices
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Operations monitoring & automated scaling We set up comprehensive monitoring for your applications with tools like Datadog, New Relic, or open-source alternatives. Real-time alerts, performance metrics, and automated scaling rules keep your services running smoothly as you grow. We configure auto-scaling for cloud infrastructure, implement proper logging and observability, and create runbooks for your team to handle incidents effectively.
AI software development in Oslo with Dev, in focuses on building practical AI solutions that solve real business problems. We start by understanding your existing data, infrastructure, and workflows to identify where AI can deliver measurable impact. Our approach combines strategic planning with hands-on technical implementation — from proof-of-concept to production-ready systems.
We specialize in LLM integrations, custom ML models, and AI-powered features that enhance your products. Whether it's implementing intelligent automation, building conversational interfaces, or deploying predictive analytics, we ensure seamless integration with your current tech stack. Our solutions prioritize reliability, scalability, and responsible AI practices.
Our process includes technical audits, architecture design, pilot deployments, and establishing governance frameworks for long-term success. We build monitoring systems to track performance and maintain model accuracy over time. Working with Dev, in means getting a small team of senior developers who understand both the technical complexities and business implications of AI deployment.
Product roadmap outlining key features, technical implementation plan, and development timeline with milestones
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A comprehensive workshop report documenting your project's strategic goals, success metrics, and technical requirements. This becomes your roadmap — clear KPIs, aligned stakeholder expectations, and actionable next steps all in one place.
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Comprehensive audit report covering your data quality metrics, infrastructure gaps, and implementation roadmap with prioritized recommendations
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Comprehensive gap analysis identifying technical debt, security vulnerabilities, and architecture weaknesses. Detailed risk assessment with prioritized mitigation strategies and implementation roadmap.
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Working pilot with success metrics defined upfront and documented learnings
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Technical infrastructure blueprint including API architecture, database schema, deployment pipeline, and scaling roadmap for sustainable growth
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Clear governance documentation defining ethical AI use, compliance requirements, and accountability structures for your AI systems
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Performance tracking system with defined KPIs for measuring feature adoption and impact
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Live monitoring dashboards with real-time metrics, error tracking, and performance alerts to keep your systems running smoothly
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Documentation for organizational changes, including team training materials and stakeholder communication templates
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