Back-End Development in Oslo

We architect and scale SaaS back-ends from MVP to enterprise production, documenting core technical decisions to ensure long-term extensibility.

• Technical Architecture. We define domain boundaries, balance synchronous and event-driven workflows, and establish fault-tolerant degradation strategies for downstream dependencies.
• MVP back-end development. We deliver production-grade MVPs that launch quickly without incurring immediate architectural technical debt.
• Multi-tenant SaaS platforms. We design tenant isolation and subscription logic for growth from day one.
• Cloud Infrastructure. We set up CI/CD pipelines and infrastructure as code on the cloud platform you prefer.
• Automated QA. Automated tests are part of the delivery pipeline, ensuring releases remain stable and predictable.

We modernize core legacy back-ends incrementally, maintaining operational continuity and zero downtime for active users.

• Codebase Assessment. We map component dependencies to establish clean execution boundaries and plan zero-risk migration sequences.
• Monolith decomposition. We extract microservices behind defined boundaries, enforcing comprehensive regression test suites prior to cutover.
• Codebase Refactoring. We make targeted improvements so the codebase becomes easier to maintain.
• Runtime Upgrades. We move older .NET and Java applications to current long-term support versions.
• Legacy-to-cloud migration. We move modernized services to cloud infrastructure with careful planning around data and uptime.

We engineer resilient API layers to unify enterprise platforms, implementing automated circuit breakers, retries, and real-time telemetry.

• API Engineering. We build REST and GraphQL APIs with clear contracts and thorough documentation.
• Enterprise system integration. We connect your platform with ERP and CRM systems, including SAP.
• Integration platforms & middleware. We create central integration layers that replace fragile point-to-point connections.
• Identity Management. We implement federated identity and single sign-on based on open standards such as OpenID Connect.
• Legacy API modernization. We wrap older systems with modern APIs, so new products can use them safely.

We bridge operational technology (OT) with enterprise IT, engineering high-throughput real-time pipelines for complex industrial environments.

• IT/OT integration. We build secure data flows between industrial equipment and your business applications.
• Edge Processing. Our back-end services collect and process device data close to the source.
• Time-series data platforms. We design storage and query layers for high-frequency sensor data.
• Predictive maintenance back-ends. Our data pipelines and models help detect equipment issues early.
• SCADA modernization. We bridge established control systems with modern cloud and analytics platforms.

We build high-concurrency back-ends for fleet operations and TMS platforms, ensuring seamless real-time orchestration at scale.

• Transport management systems. We build custom TMS platforms for planning and executing deliveries.
• Fleet tracking & telematics. Our back-ends process vehicle location and status data in real time.
• Driver app back-ends. We create APIs and workflows that power mobile apps for drivers on the road.
• Route Optimization. Our algorithms help plan efficient routes and balance workloads across your fleet.
• Warehouse Integration. We connect transport data with warehouse systems and inventory forecasting.

We architect high-performance data infrastructure to streamline ingestion, warehousing, and operational analytics across enterprise datasets.

• Database migration. We move between database engines or to managed cloud databases, validating at every step.
• Data pipelines & ETL. We build reliable pipelines that collect and transform data from all your sources.
• Data warehousing. We create central data platforms that bring scattered information together for analytics.
• Query Optimization. We tune schemas and queries for faster responses under real load.
• Analytics Enablement. Our clean data models power dashboards and business intelligence tools.

We construct secure enterprise AI middleware connecting production systems with LLMs, enforcing strict access controls, latency optimization, and cost governance.

• LLM integration. Our back-end services connect your product to language models with prompt management and fallbacks.
• Retrieval Engineering. We build high-precision RAG pipelines that ground responses in enterprise data while preserving existing role-based security permissions.
• AI agents & workflow automation. We give agents only the tools and permissions each workflow needs, with explicit approval gates before sensitive or irreversible actions.
• MLOps. We handle deployment and monitoring for machine learning models in production.
• AI performance control. Caching and usage limits keep AI features fast and affordable.

Skip lengthy hiring cycles. We deploy senior back-end engineers who integrate directly into your existing team, workflows, and delivery cadences.

• Team extension. Senior engineers join your existing team and follow your processes.
• Dedicated back-end team. A full team with its own tech lead takes ownership of a product area.
• Architect as a service. We provide senior technical leadership for architecture decisions and roadmap planning.
• Developer selection on your terms. You review profiles and interview every engineer yourself.
• Flexible scaling. Team size follows your roadmap, and shared documentation keeps knowledge in place.