Tetrate

Founded 2018

Route enterprise AI traffic, control token spending by team, and enforce data privacy policies

You can use Tetrate to manage and secure enterprise AI network traffic across multiple models and cloud regions. The system acts as an operational gateway based on Envoy, letting you route agent requests to specific models, manage provider failover, and balance inference loads. You can track token consumption by team and project, inspect agent execution traces, and set strict budget caps to prevent runaway expenses. It also enforces security policies like runtime PII redacting and identity-based access control through existing enterprise directory providers.

What Tetrate does

Set token spending caps for specific development teamsTrace multi-step agent tool calls and response latenciesConfigure automatic fallback routing rules between model providersMask sensitive PII from incoming prompt payloadsConnect directory groups from Okta to govern model accessDeploy gateway instances across multiple cloud regionsRoute requests dynamically across multiple large language model providersAttribute token costs and usage by team, project, and agentEnforce inline token budgets and rate limits to stop runaway costsInspect full execution traces across multi-hop agent chainsRedact sensitive personal data and enforce policy guardrails at runtimeProvide automatic provider failover and regional traffic distributionControl model and tool access using Okta or Microsoft Entra ID groups