Portkey AI Overview, Features & Pricing (2026)
Overview
Portkey AI provides a gateway and control plane to run hybrid model deployments for engineering teams. It centralizes usage metrics and cost signals across backend instances. Teams can isolate client workloads with separate backends and tailored logging rules. The platform supports consultancies and development teams that need operational control and auditing.
Use cases
- Deploy and manage models across cloud and on-prem environments.
- Isolate client or project workloads with distinct backend instances.
- Collect and analyze usage and cost data for model operations.
- Enforce logging and access controls for audit and compliance.
How it helps
- Reduce time spent troubleshooting and configuring model access.
- Improve cost visibility to limit unexpected spend.
- Maintain clearer audit trails and logging per client or project.
Key features
- Isolate workloads with per-client backend instances to protect data boundaries.
- Centralized monitoring and cost signals for LLM deployments.
- Configurable logging rules to support compliance and audits.
- Hybrid gateway to route requests between on-prem and cloud models.
- Role-based access controls to streamline team operations.
Pricing
Paid plans are available. Check the official site for current details.
Why to choose Portkey AI?
Portkey AI combines a network gateway with a SaaS control plane to give teams hybrid deployment control and per-client isolation.
