Hi Product Hunt 👋 We built **InferXspace** because working with AI models today is far more complicated than it should be. Every team building with AI eventually runs into the same problems: • You need to support multiple models • APIs change constantly • Switching models requires infrastructure changes • Pricing and performance vary depending on the use case Instead of focusing on the product, teams end up maintaining model integrations. **InferXspace** is our attempt to fix that. We built a **unified inference layer** that lets developers interact with different AI models through one consistent API. This makes it easier to switch models, experiment, scale applications, and avoid vendor lock-in. Along the way, we realized developers also needed more than just routing. So InferXspace evolved to include things like **Agents, MCP, and RAG support**, plus enterprise-grade API capabilities and data sovereignty. Our goal is simple: Make AI infrastructure **boring, reliable, and easy** so teams can focus on building great products. We’re currently in **early access**, and we’d love your feedback from the community. What models or AI infrastructure challenges are you dealing with today? Would love to hear how you're solving them. 🚀

inferXspace

Open-source AWS Bedrock alternative — 100+ models, one API

Open-source AWS Bedrock alternative — 100+ models, one API