Frontier models
The cognitive level. Reasoning capacity, language understanding, generation, agentic tools. Anthropic · Claude as primary reference. Other actors open to the use case.
The Synthos Logic AI Methodology operates on a stack built in layers: frontier models at the top, cloud infrastructure with European sovereignty coverage, data platforms, security and compliance. Every layer is selected based on the client's regulatory profile and data map.
The AI Methodology is agnostic by design with respect to cloud vendor and frontier model. It is an engineering principle before being a positioning statement: it allows us to propose the technology combination most consistent with the client's perimeter, rather than forcing every project into the commercial constraints of a single vendor.
The selection criterion of every layer starts from two client variables: the regulatory profile (sector, applicable regulations, data residency, sovereignty constraints) and the data map (volumes, sensitivity, existing integrations). The two variables emerge in Phase 1 of the methodology and drive stack recommendations from Phase 2.
The cognitive level. Reasoning capacity, language understanding, generation, agentic tools. Anthropic · Claude as primary reference. Other actors open to the use case.
The execution level. Regions, compute capacity, managed services, operational continuity. Google Cloud · Microsoft Azure · AWS with European regions; dedicated European providers when the profile requires it.
The information level. Data warehouses and lakehouses, governance, lineage, quality. BigQuery and Snowflake among recurring options; governance tools consistent with the EU AI Act.
The compliance level. Identity, access, cloud security posture, AI-specific traceability. Entra ID and Okta on identity; compliance automation and monitoring aligned to the client's enterprise standard.
Synthos Logic brings engineering competence to the stack platforms. We recommend the combination most consistent with the client's perimeter and engineer it through to the system in production. Procurement — license purchase, cloud contracting, commercial negotiation with technology vendors — remains in the client's hands and internal channels.
This line is a positioning choice. It keeps the Synthos Logic role on the engineering and technical responsibility side, and leaves the client with full control of the economic relationship with vendors. It preserves recommendation independence: the stack combination we suggest comes from the methodology and the client's perimeter, free from any margin constraint on resale.
Anthropic, Claude, Model Context Protocol, Google, Google Cloud, BigQuery, Microsoft, Azure, Entra ID, Amazon, AWS, Snowflake, Okta and the related logos are registered trademarks of their respective owners. Synthos Logic mentions them to describe engineering competencies and recurring architectural choices in the framework of the AI Methodology, and operates on their platforms as an enterprise client.