Trusted Foundations
- Built for enterprise scale and security.
- Works across clouds and on-prem.
- Integrates with enterprise identity and controls.
Cut AI Spend. Keep Teams Fast.
Gain real-time visibility, control, and intelligent routing for every AI call.
Auto-discover AI usage without disrupting developers.
Set budgets and guardrails. Enforce at runtime.
Send traffic to the best model for cost and quality.
Attribute usage to teams and show reductions clearly.
Cut LLM and API spend by routing each call to the best-value model and enforcing rate limits and budgets in runtime. Every request is attributed to the right team with live showback, so savings are visible and durable.
Ship faster because governance lives in the platform, not app code. Teams point traffic to a single router endpoint where policies and routing update centrally without redeployments, with fewer keys to manage and simpler access control.
Maintain strong results while staying on budget. Route based on performance signals, compare models safely with traffic splitting, and use automatic failbacks to keep reliability high when providers change.
Cost per request falls as routing and traffic splitting steer workloads to the best-value models. With runtime limits and automatic failbacks, budgets hold and surprises overruns fade. Teams run side-by-side model comparisons faster, accelerating experiments while keeping spend predictable. Governance strengthens in parallel through clear ownership and automated guardrails.
Point AI calls to the Router endpoint. Governance is applied in the platform.
Yes. Route and fail over across providers while tracking cost and performance.
Set budgets and limits in Operations Director. Use Router failbacks to lower-cost models.
No. Policies and routing apply in runtime so teams keep shipping.