One control layer
Unify policy, users, models, providers, agents, and organizational data behind a governed access layer.
PolicyMux provides policy-controlled access, routing, security, and governance across AI models, providers, users, agents, and organizational data.
One control layer to unify policy, identity, providers, models, monitoring, and auditability without locking the organization into a single AI vendor.
Unify policy, users, models, providers, agents, and organizational data behind a governed access layer.
Designed for tenant isolation, role-based access, auditability, observability, and future deployment choices.
Support multiple commercial and locally hosted AI providers without rebuilding governance for each one.
The pre-launch site reflects the intended platform direction while avoiding unsupported claims about completed functionality.
Select providers and models through organizational rules, authorization, risk, and business context.
Apply roles, privileges, tenant boundaries, and stronger controls for sensitive actions.
Detect and redact confidential or regulated information before external model access.
Govern which providers and models are approved, available, restricted, or retired.
Track requests, performance, usage, errors, and future cost controls in one operating view.
Maintain evidence of access, policy decisions, routing, and administrative changes.
PolicyMux is being developed as an enterprise control and governance layer—not another isolated AI interface.
Translate organizational requirements into enforceable access and routing decisions.
Keep privileged access, sensitive data, tenant isolation, and audit evidence at the center of the architecture.
Support shared and dedicated deployment models while preserving the same policy and authorization core.
PolicyMux is currently under private development by JenSolutions LLC. Contact us regarding early interest, partnership, or future access.
Contact PolicyMux