Bringing control to enterprise AI
As AI adoption spreads across departments, organizations face uncontrolled usage, unpredictable costs and fragmented access to models. BrainShift AI Gateway gives enterprises and governments a single, governed entry point through which all AI traffic flows, so leaders can scale AI with confidence.
Rate limiting and workload management
Administrators can define rate limits, token quotas and budgets per team, user, application or model. Priority policies ensure mission-critical workloads always receive capacity, while fair-use controls prevent any single workload from overwhelming shared GPU or API resources.
Intelligent routing across models
The gateway routes requests across public LLM providers, private models and on-premise inference clusters based on policy, cost, latency and data sensitivity. Automatic fallback and load balancing keep AI services available even when an individual provider or cluster is under pressure.
Visibility, security and governance
Every request is logged with usage, cost and latency metrics, giving finance, security and IT teams real-time dashboards and complete audit trails. Built-in access control, API key management, data masking and content policies help organizations meet internal governance and regulatory requirements.
Built for sovereign deployment
BrainShift AI Gateway can be deployed on-premise, in private cloud or within sovereign environments on Kubernetes and OpenShift, keeping all AI traffic and data within the organization's control. It integrates natively with BrainShift AI Workspace and BrainShift Studio to complete CSP's enterprise AI platform.