Description

APIXO — A performance-first AI API platform

APIXO is a performance-first AI API platform that delivers enterprise-grade stability at a lower cost, with unified routing, automatic failover, and transparent usage reporting.

What APIXO is

APIXO gives teams one API to access a wide range of AI models while keeping reliability and cost under control. It automatically routes requests to the best-value provider using health, latency, and pricing signals, so developers can focus on product delivery instead of infrastructure tuning.

Why it matters

Modern AI stacks are fragmented, expensive, and operationally fragile. APIXO reduces integration overhead and cost volatility while improving reliability—making it easier to ship AI features that stay fast and available as usage grows.

Key capabilities

Unified schema across models for simpler integration
Automatic failover to keep services running during provider issues
Usage reports for clear cost visibility and accountability
Best-value routing to optimize price, latency, and reliability
Optional low-restriction mode when needed

Reliability and security focus

APIXO is built for high availability with a reliability-first architecture and proactive monitoring. It emphasizes data security and operational resilience for teams that need consistent performance at scale.

Use cases

Build multi-model AI features without managing separate integrations for each provider
Ship reliable chat, summarization, and generation workflows with automatic failover
Run high-volume inference with consistent latency using best-value routing
Control spend and performance with unified schema and usage reporting
Consolidate vendor management through one API and unified monitoring
Support image, video, audio, and text workloads with one integration
Enable experimentation across providers without re-implementing client logic
Launch AI-powered products that require low-restriction mode when needed

Availability

APIXO is available now and supports production use cases across a broad range of AI workloads.