Siili Solutions Introduces Managed AI for Production AI Operations
Siili Solutions Plc has launched a new service category, Managed AI, designed to address the challenges companies face in operating and scaling AI solutions effectively.

Siili Solutions Plc, a Finnish technology company, has introduced a new service offering called Managed AI. This service aims to solve the difficulties organizations encounter when moving AI solutions from proof-of-concept stages to reliable, large-scale production environments.
The company highlights a common gap between AI model developers and the IT teams responsible for infrastructure. While data scientists excel at creating AI models, they may not possess the skills for continuous monitoring and maintenance in production. Similarly, traditional IT infrastructure teams may lack the specialized knowledge for managing AI-specific complexities like model drift or vector database scaling.
Managed AI is presented as a comprehensive, turnkey service for running AI in production. It encompasses the full stack, from cloud infrastructure and data pipelines to model serving and application integration. Key responsibilities include ensuring AI models are deployed safely, operate reliably, remain secure and compliant, and undergo continuous improvement.
Siili Solutions emphasizes that Managed AI is not about outsourcing AI strategy itself. Instead, it provides the operational foundation necessary for AI investments to deliver consistent value. The service assists in pre-deployment readiness checks, including infrastructure architecture, data governance, and model evaluation, and handles ongoing operations such as resource management, data freshness, cost monitoring, and incident response.
The offering functions as a partnership where the client retains ownership of the AI vision and business outcomes. Managed AI ensures the technical implementation effectively supports these goals, helping businesses avoid pitfalls like degrading model performance over time or escalating infrastructure management complexity.