Every model, agent, and prompt under control.

Know what AI is running in your organization

Without a central AI registry, AI proliferates invisibly - teams deploy models and agents with no shared visibility. Aiboostr gives the organization a definitive, auditable AI inventory of every AI capability in use: which models are deployed, by which teams, for what purpose, and under what conditions.

Enforce consistent policies across every access path

When each team manages its own AI access, policies diverge - or disappear entirely. Aiboostr routes all model traffic through a single governed AI gateway, where access controls, rate limits, and token budgets are enforced uniformly - across private models, public APIs, and everything in between.

Govern agents as rigorously as any other system

Agentic AI operating without a governed runtime can access systems and data unpredictably. Aiboostr provides a managed execution environment where agents run with defined tool access via MCP - extending agent governance to every step: LLM call, tool invocation, inter-agent interaction, each traced and auditable.

Make AI costs visible and attributable

Uncontrolled AI usage generates unpredictable costs with no visibility into which teams or projects are responsible. Aiboostr tracks token consumption and API costs per team, application, and model - providing the data needed for budget control and internal cost attribution.

Detect issues before they escalate

Governing AI requires ongoing visibility into system behavior. Aiboostr traces every model and agent interaction end-to-end, enabling platform teams to monitor performance, detect anomalies, and maintain quality standards across all deployed AI capabilities.