Siili is a Finnish software development and consulting firm built around AI implementation at scale. Their tech stack reveals an engineering organization deeply invested in LLM infrastructure (Claude, GPT, Codex, LiteLLM, vLLM) and vector databases (Pinecone, Weaviate, Qdrant, pgvector) alongside multi-cloud deployment (Azure, AWS, GCP) and observability tooling (Prometheus, Grafana, Datadog). Active projects focus on production readiness — moving companies from AI proof-of-concept to operational systems — while their pain-point list signals they're solving what their customers struggle with: reliability, cost control, and the adoption-to-production gap.
Siili Solutions, founded in 2005 and headquartered in Helsinki, is a public company with 501–1,000 employees. They operate as a full-spectrum digital partner, combining software development, AI expertise, and industry knowledge to help mid-market and enterprise clients move AI from strategy into production. Their service areas span cloud infrastructure, data management, observability, and organizational change — targeting the friction points that block AI rollout: technical readiness, cost optimization, and process integration. Hiring is concentrated in engineering, consulting, and data roles, with velocity accelerating.
Multi-cloud (Azure, AWS, GCP) with Kubernetes orchestration; LLM APIs (Claude, GPT, Codex); vector databases (Pinecone, Weaviate, Qdrant); ML platforms (Databricks, SageMaker, Azure AI Foundry); observability (Prometheus, Grafana, Datadog).
Currently hiring in Finland only, based on recent job postings and active role locations.
Other companies in the same industry, closest in size