Data stays under your control
Client data is not used to train foundation models. Deployments can be designed around your tenant, private cloud, VPC, or infrastructure constraints.
Security & Governance
Regulated AI does not stop at model quality. It requires deployment control, evidence trails, reviewer ownership, and operating rules that match how enterprise teams actually approve work.
Client data is not used to train foundation models. Deployments can be designed around your tenant, private cloud, VPC, or infrastructure constraints.
For sensitive workflows, we support architectures that isolate customer data, permissions, retrieval layers, and operational logs.
High-stakes outputs are routed through user review, approval, and edit flows instead of bypassing business ownership.
AI-generated work product can be tied back to source documents, prompts, reviewers, timestamps, and downstream changes.
We select the model, retrieval pattern, and hosting approach that fits the workflow, risk profile, and procurement constraints.
GenerativeX maintains an ISO 27001 / ISMS security program. Certification details can be shared during procurement review.
Deployment Patterns
Private cloud or VPC deployment
Customer-controlled data stores and retrieval layers
Role-based access and reviewer permissions
Logging for prompts, outputs, references, and edits
Source-linked generation for regulated work product
We can map the security model to a specific workflow before the first build begins.
See what's possible →