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.