Side view of girl walking with pregnant mother

Technologies
We Work With

We're a product engineering company that works across a wide range of technologies. At times, we take over existing systems and legacy codebases — maintaining and modernizing them to support our clients' evolving business needs. Other times, we build with the latest tech stacks, carefully chosen to solve real problems. We don't follow trends; we choose reliable, scalable, and cost-effective technologies that truly fit the requirement. Our teams constantly research emerging tools and frameworks, mastering what's next to bring lasting value to every project.

Artificial Intelligence and Data visualization

Artificial Intelligence & Data

AI & ML:
OpenAI | LangChain | TensorFlow | PyTorch | Hugging Face
Data Engineering:
Apache Spark | Airflow | Databricks | Snowflake
Analytics:
Power BI | Tableau | Looker | Python (Pandas, NumPy)
Specialties:
Predictive analytics | RAG systems | AI-driven automation | Data modernization

Software Engineering & Platforms

Backend:
.NET Core | Java | Node.js | Python | Go
Frontend:
React | Angular | Vue.js | Next.js
Mobile:
Flutter | React Native | Swift | Kotlin
Architecture:
Microservices | Event-driven systems | API-first design

Experience Design UX UI illustration

Experience Design (UX / UI)

Tools:
Figma | Adobe XD | Miro | InVision
Practices:
Design Thinking | Accessibility | Design Systems |
User Journey Mapping
Focus:
Human-centered digital experiences that balance aesthetics and usability

Engineering Practices

Methodologies:
Agile | Scrum | DevOps | MLOps
Quality:
Test Automation (Selenium, Playwright, PyTest) | Continuous Delivery
Collaboration:
Git | Jira | Confluence | Slack

Cloud & Infrastructure

Platforms:
AWS | Microsoft Azure | Google Cloud Platform (GCP)
Tools:
Docker | Kubernetes | Terraform | Jenkins | GitHub Actions
Focus:
Cloud-native architecture | DevOps automation | CI/CD | Scalability | Security

Agentic Application Development visualization

Agentic Application Development

Technologies:
LangChain | OpenAI Assistants API | CrewAI | LlamaIndex
Focus:
Building intelligent, goal-oriented AI agents that plan, reason, and take actions autonomously
Use Cases:
Digital copilots | Research automation | AI-powered workflows

Digital Experience & Integration

Platforms:
Salesforce | ServiceNow | SAP | Dynamics 365
Integration:
Mulesoft | Azure Logic Apps | Kafka
Focus:
Seamless digital workflows | Connected ecosystems | CX transformation

Emerging Technologies illustration

Emerging Technologies

Edge & IoT:
AWS IoT Core | Azure IoT Hub | MQTT
Blockchain & Web3:
Ethereum | Solidity | Hyperledger
Generative AI:
GPT | Stable Diffusion | OpenAI Assistants API

Automation & Intelligent Systems

RPA Tools:
UiPath | Power Automate | Automation Anywhere
AI Assistants & Chatbots:
Azure OpenAI | Google Dialogflow | Rasa
Focus:
Process automation | AI assistants | Low-code solutions

Frequently Asked Questions

What technologies does Aventude specialise in?

Modern cloud-native stacks across Azure and AWS, .NET, JavaScript/TypeScript ecosystems, data platforms, and AI/LLM technologies, combined with the engineering expertise to choose what genuinely fits your product, not what's fashionable.

How does Aventude choose the right technology for a product?

We start with your business context: scale, compliance, budget, team, and time to market. Then we apply hard-won engineering judgment, including honest advice when a simpler stack beats a trendier one. Technology serves the product; never the other way around.

Can Aventude modernise our legacy technology estate?

That's one of our strongest capabilities. AI-assisted migration lets us modernise legacy systems dramatically faster than manual rewrites; our KF Norway migration achieved a 70% cost reduction. We deliver scalable, high-quality digital products without the multi-year rebuild risk.

How does Aventude protect GDPR compliance while using AI models and LLMs?

By treating data protection as an engineering constraint, not a policy afterthought. We select models and deployment options per use case, including EU data residency, private deployments, and self-hosted open-source models where required. We ensure customer data is never used to train third-party models, and we apply data minimisation and pseudonymisation before anything reaches an LLM. Years of delivery for Nordic regulated-sector customers, including EU Whistleblowing Directive platforms, mean GDPR-grade governance is our default posture, not a premium option.

Which AI models and platforms does Aventude build with?

Frontier models like Claude and OpenAI alongside open-source LLMs, selected per use case for capability, cost, latency, and data governance. Skarpa, our AI-powered software delivery platform, is built model-agnostic, so your product is never hostage to a single vendor's pricing or roadmap. And because Skarpa captures your project's code, logic, and domain knowledge as your own asset, switching or combining models never means starting over.