GenerIA AI solutions can be deployed entirely on-premises, within private infrastructures, in jurisdictions of your choice or in fully air-gapped environments. No third-party cloud or technology is required, so your data never needs to leave the perimeters you control.
Our solutions integrate with your existing security policies and identity systems, including SSO, LDAP, multifactor authentication and access control lists. Your models, data, conversations, logs and user information remain under your direct control.
Sovereignty and security are built into the architecture from the outset, helping you protect sensitive information, intellectual property and user privacy while meeting your regulatory and governance requirements.
Using artificial intelligence should not require transferring sensitive information, professional expertise or intellectual property to an external platform.
No uncontrolled data transit - GenerIA AI solutions can operate entirely within your own infrastructure or another environment under your control. Queries, retrieved documents, generated responses and telemetry do not need to be transmitted to a third-party AI or cloud service.
Voice included - This absolute principle also applies to speech interfaces. Voice recognition, synthesis and conversational processing can be deployed within the same controlled perimeter, so audio recordings and transcripts never need to be sent to an external provider.
Private by design - Conversations, documents and user activity remain subject to your retention, access and governance policies. Your organization decides what is stored, for how long, where and under which jurisdiction.
Data sovereignty is not achieved merely by hosting a web interface locally while inference still takes place elsewhere. It requires control over the complete processing chain.
No mandatory external dependencies - GenerIA solutions can include the models, retrieval systems, data stores, application services, authentication mechanisms, interfaces and observability components required for autonomous operation. The choice is entirely yours: each component can be retained, replaced or integrated with systems already used by your organization. No third-party service needs to sit between your users and your AIs.
Deployment under your jurisdiction - GenerIA solutions can be installed on-premises, in private data centers, in sovereign hosting environments or in clouds selected by your organization, including GenerIA's in Canada or France.
Your access policies - Existing identity and authorization systems can be reused, including SSO, LDAP, multifactor authentication, access control lists and organization-specific authentication mechanisms.
Protection of competitive knowledge - Keeping inference and retrieval within a controlled environment prevents the daily use of AI from becoming an unmonitored channel through which source code, client information, strategies, contracts or professional know-how leave your organization.
Strategic partnerships with infrastructure specialists - Close partnerships with data center builders and private cloud architects enable us to deliver on our commitments to end-to-end sovereignty (and frugality). We regularly go to market together as a consortium, with offerings that embed these principles by design.
Security controls are meaningful only if their operation can be verified.
GenerIA solutions provide standardized logs, traces and metrics needed to monitor access, analyze incidents and demonstrate that information flows remain within the expected boundaries.
This multi-dimensional traceability can support internal governance and compliance requirements relating to privacy, sensitive information and data localization, including Québec's Loi 25, PIPEDA, GDPR and CCPA/CPRA. Technical architecture supports compliance; the organization remains in control of the policies and procedures applied to each use case.
Closed execution perimeter - Model inference, retrieval, prompt construction, post-processing and persistence can all run inside the selected deployment environment. Outbound network access can be restricted or disabled so that execution does not depend on calls to external services.
Local knowledge and inference services - Documents and application data are processed locally. Retrieval indexes, model weights, conversation state and generated outputs remain within the same governed infrastructure rather than being distributed across unrelated third-party platforms.
Containerized architecture - Instead of user-level system services, GenerIA components are preferably deployed as containers within your infrastructure. This provides reproducible deployments while allowing network segmentation, resource isolation, infrastructure-level policy enforcement and integration with existing operational tooling.
Identity and authorization propagation - Authentication can be delegated to your organization's identity systems. User or service permissions can then be propagated through the processing pipeline so that retrieval and generation respect the same access boundaries as the original information systems.
Controlled service accounts and connectors - Connections to databases, APIs and document stores can use dedicated credentials and restricted permissions. Each connector accesses only the sources and operations required by its specific function.
Security telemetry - Authentication events, application behavior, execution traces and suspicious inputs such as prompt-injection attempts can be monitored automatically thanks to standardized telemetry records. These records support anomaly detection, forensic analysis and security audits without exposing them outside the organization.
Air-gapped operation - For use cases requiring complete network isolation, the necessary models, indexes, services and interfaces can be packaged for autonomous operation. GenerIA solutions can therefore continue to provide advanced AI capabilities even when no external network connection is available.