vexoapi gave our team one stable endpoint for every AI model we ship.
AI Platform Team
Route, monitor, and control AI requests across providers through one OpenAI-compatible API built for production teams.
Unified AI Gateway
vexoapi gave our team one stable endpoint for every AI model we ship.
AI Platform Team
We route OpenAI, Claude, Gemini, and private models without rewriting client code.
Infrastructure Lead
Usage visibility and quotas helped us control AI spend while keeping latency predictable.
Operations Team
vexoapi made model failover feel simple enough for production workloads.
Product Engineering
vexoapi gave our team one stable endpoint for every AI model we ship.
AI Platform Team
We route OpenAI, Claude, Gemini, and private models without rewriting client code.
Infrastructure Lead
Usage visibility and quotas helped us control AI spend while keeping latency predictable.
Operations Team
vexoapi made model failover feel simple enough for production workloads.
Product Engineering
AI routes, fully automated
Route chat, vision, embeddings, and tools through one compatible API.
Provider failover as a policy
Shift traffic across models automatically when latency or errors spike.
Usage analytics your team can rely on
Track tokens, cost, latency, and errors by app, model, key, and user.
Governance without gateway plumbing
Ship scoped keys, quotas, audit trails, and alerts from one place.
Many SDKs
One API
After invoices
Real time
Code changes
Policy update
Use curated AI routes or create your own model policy
Generate usage reports, audit exports, and cost summaries without vendor lock-in
Every provider, model, and route connected in one place
MCP or API, no setup needed, with custom model routing





















Unified routing, usage tracking, fallback, and key governance for production AI workloads.
Less provider setup work
95%
“vexoapi became the control plane for our AI traffic. Teams can add models, manage keys, and monitor usage without waiting on platform changes.”
Maya Chen
AI Platform Lead
Lower AI infrastructure overhead
35%
“We moved model routing, quotas, and audit logs into vexoapi. It made provider changes safer and gave engineering a much clearer view of spend.”
Evan Brooks
Head of Engineering
New model rollout
In minutes
“When a team wants to test a new AI model, we can expose it through vexoapi, apply policy, and start measuring real traffic immediately.”
Nora Patel
Product Infrastructure Manager
Before | With vexoapi | Result | |
|---|---|---|---|
Multi-provider AI routing | Provider setup Fragmented | Provider setup Unified | Deploy time 20x faster |
Model failover operations | Fallback Manual | Fallback Automated | Availability Higher under load |
API key governance | Access control Shared keys | Access control Scoped tokens | Risk exposure Reduced |
Cost observability | Spend visibility Delayed | Spend visibility Real time | Budget drift 90% less |
Team quota management | Limits Per provider | Limits Centralized | Overages Fewer surprises |
Developer integration | Client code Provider-specific | Client code OpenAI-compatible | Migration effort Minimal |
vexoapi protects provider keys, request logs, and team access with security controls built for production AI workloads.
Security & Trust CenterProduction AI access without provider lock-in