Data ingestion
We pull in files, documents and application data from APIs and company systems, including document archives and technical inputs.
The platform is the common base of every project: it speeds up assessment, training and implementation with capabilities shared by all cases.
We pull in files, documents and application data from APIs and company systems, including document archives and technical inputs.
Background processing with work queues tracks state from start to finish, even through long or heavy processes.
Dedicated engines for retrieval, feature extraction, specialist models and decision support.
Access control, separation between customers, and integration with managed identities, certificates and policy.
Selected cloud services that grow with load, without pushing the complexity back onto the customer.
Licenses, quotas, data ownership, audit and traceability: a model that can actually be governed.
Ready-made components, APIs and shared internal standards speed up every new use case.
Isolated data, configuration and access boundaries for different customers, business units or environments.
The platform handles the common steps and leaves the specialist engine only the specific problem. The same model powers document search, technical systems for production and decision support.
Security is part of the architecture, and applied research lowers project risk from day one.
Context, users, permissions and data kept separate per customer or business unit.
Services are reached through application identities and certificates, with zero static credentials.
State, events and failures are tracked: controlled resume, audit and accountability.
Five real applications are already in production on this base.