We build and deploy TensorFlow models for Norwegian businesses, from proof-of-concept to production-ready ML systems that deliver real business value.
⊹
Technical strategy and product roadmap planning. We help you define what to build, in what order, and with which technologies. From MVP scoping to multi-year platform evolution, we create actionable plans that align business goals with technical reality.
⊹
Technical infrastructure and data architecture review. We examine your systems, identify bottlenecks, and provide actionable recommendations for improvement.
⊹
Deploy your solution with confidence. We handle the entire launch process — from staging environments to production rollout. Our pilot deployments start small, validate performance, and scale based on real usage data. We monitor key metrics, fix issues quickly, and ensure smooth transitions for your users.
⊹
AI ethics & responsible development We build AI systems with safety and transparency at the core. This means clear documentation of model limitations, bias testing, data privacy safeguards, and human-in-the-loop controls where needed. We follow established AI safety principles and help clients navigate regulatory requirements like GDPR and AI Act compliance. No black-box solutions — you'll understand how your AI systems work and their potential risks.
⊹
Infrastructure monitoring & scaling strategies
TensorFlow developers at Dev, in build machine learning systems that solve real business problems. We start by understanding your data, infrastructure, and current workflows to identify where ML can deliver measurable impact.
Our approach is practical: we design TensorFlow models and pipelines that integrate smoothly with your existing operations. This includes everything from initial data assessment and model architecture to deployment infrastructure and monitoring systems.
We handle the full ML lifecycle — data pipeline design, model training and optimization, deployment on cloud or edge devices, and ongoing performance monitoring. For governance-conscious organizations, we build in interpretability, bias detection, and compliance frameworks from day one.
Our TensorFlow expertise covers computer vision, natural language processing, time series forecasting, and recommendation systems. We deploy on Google Cloud, AWS, or on-premise infrastructure based on your requirements.
You work directly with senior ML engineers who understand both the technical complexities and business constraints. We deliver documented, maintainable systems with clear handoff processes, not black-box solutions that break when we leave.
Technical roadmap detailing specific use cases, implementation phases, and delivery milestones with realistic timelines
01
Detailed workshop findings document outlining your strategic objectives, success metrics, and technical roadmap
02
Comprehensive audit report detailing your current data quality, infrastructure gaps, and a prioritized roadmap for AI readiness
03
Comprehensive analysis of security vulnerabilities, technical debt, and architectural weaknesses. We document specific risks with severity ratings and provide actionable remediation steps prioritized by business impact.
04
A working pilot implementation with clear performance metrics and actionable recommendations for scaling
05
Detailed infrastructure architecture and API design documentation, including scaling strategies, deployment workflows, and performance optimization recommendations
06
Governance framework with documented ethics guidelines and compliance standards tailored to your industry requirements
07
Performance tracking framework with defined KPIs for measuring adoption, usage patterns, and success metrics
08
Real-time monitoring dashboards with integrated alerting and performance metrics tracking
09
Training materials and change management documentation to ensure smooth adoption by your team
10
