Futurice

How do you design a digital platform that welcomes the world to your city?

Helsinki Partners set out to do just that with MyHelsinki 2.0, a high-traffic, content-rich platform designed to onboard global audiences of visitors, talent, and investors into the city of Helsinki.

Together with our Futurice Family company Columbia Road, we supported Helsinki Partners from concept to production:

• Strategy and service design
• Modular content and AI-powered chat guidance
• Scalable WordPress implementation
• SEO and user acquisition built in
• Long-term support through managed services

The result? A future-ready, unified platform that reflects Helsinki’s values — welcoming, bold, and sustainable — while streamlining operations and amplifying global reach.

Read the full case study: https://eu1.hubs.ly/H0wvgnL0

Future-Ready Digital Platform for Helsinki’s Global Audiences MyHelsinki 2.0 is a high-traffic digital service for global visitors, talent, and investors—redesigned to unify content, scale onboarding, and boost reach.

Building sovereign AI infrastructure is no longer theoretical — it’s already practical, scalable and economically viable.

In our latest blog post, we share how we built a fully self-hosted RAG solution deployed entirely within Finland together with UpCloud.

The system combines:
→ Qwen3 and vLLM for inference
→ n8n for agent orchestration
→ PostgreSQL + PGVector for retrieval
→ GPU optimisation techniques like KV cache offloading and prefix caching
→ A sovereign AI architecture designed for security, compliance and performance

We also share:
✔️ deployment architecture
✔️ GPU memory optimisation strategies
✔️ latency and throughput benchmarks
✔️ cost comparisons against GPT API pricing
✔️ lessons learned from production testing

A great example of how modern enterprise AI systems can be deployed close to business operations while remaining performant and cost-efficient.

Read the full technical walkthrough here by Anton Andreev: https://eu1.hubs.ly/H0vX_q90

Building a sovereign AI RAG solution with self-hosted LLMs, Qwen3 and vLLM Learn how we built a sovereign AI RAG platform using Qwen3, vLLM, n8n and UpCloud infrastructure. Explore GPU optimization, KV cache offloading, latency benchmarks and the economics of self-hosted LLMs.

Enterprise AI adoption often fails for one of two reasons: scaling too fast without the right foundations, or overbuilding before there’s real demand.
In his latest blog, Adamu breaks down Futurice’s AI Blueprint, a practical roadmap for moving from experimentation to scalable, secure AI adoption with real business impact.
Read more: https://eu1.hubs.ly/H0vrs1b0