
Infraxa: The Infrastructure Layer for the Intelligent Web
Empowering Access to Compute, Intelligence, and Opportunity
1. Abstract
Infraxa is an AI Gateway that provides unified access to up to 100+ AI models through a single API—making AI inference cheaper, simpler, and more accessible.
We aggregate major providers (OpenAI, Anthropic, Google, Meta, xAI) and offer competitive pricing with transparent billing, usage tracking, and developer-friendly tooling.
Currently in production, Infraxa serves developers who need reliable AI infrastructure without vendor lock-in or inflated costs. Our vision extends to decentralized compute and serverless data systems, but today we focus on delivering a best-in-class AI gateway.
2. Vision
To build the universal AI infrastructure layer for the next generation of companies — providing reliable, affordable, and censorship-resistant access to compute, inference, and data intelligence.
Infraxa envisions a world where:
- Access to state-of-the-art (SOTA) models is ubiquitous and affordable.
- The cost of running intelligence infrastructure is offset by network sustainability and token growth, not inflated margins.
- Individuals and small teams can build globally competitive AI products without capital lock-in.
- A portion of the network's capacity is reserved for public good — funding researchers, founders, and creative projects that push the frontier forward.
3. Problem
AI infrastructure today is fragmented and expensive:
- Vendor Lock-in: Each provider (OpenAI, Anthropic, Google) requires separate integrations, API keys, and billing.
- High Costs: Direct provider pricing includes significant markup. Developers pay premium rates without alternatives.
- Complex Management: Managing multiple providers, tracking usage across platforms, and optimizing costs is time-consuming.
- Limited Flexibility: Switching models or providers requires code changes and migration effort.
Developers need a unified gateway that simplifies access, reduces costs, and eliminates vendor lock-in.
4. Solution: The Infraxa AI Gateway
Infraxa is an AI Gateway that provides unified access to up to 100+ models from major providers through a single OpenAI-compatible API—with competitive pricing, transparent billing, and developer-friendly tools.
What We Offer Today
Unified AI Gateway
Live in Production- Up to 100+ Models: Access GPT-4o, GPT-5, Claude, Gemini, Llama, Grok, and more through one API
- OpenAI-Compatible: Drop-in replacement for existing OpenAI integrations
- Streaming Support: Real-time token streaming for chat completions
- Competitive Pricing: Lower costs than direct provider access
Image Generation
Live in Production- FLUX Models: State-of-the-art image generation and editing
- Automatic Storage: Images stored on Cloudflare R2 with 24-hour retention
- Simple API: Generate and edit images with a single request
Developer Tools
Live in Production- API Key Management: Generate and manage multiple keys per account
- Usage Tracking: Detailed logs of all API calls with token counts and costs
- Balance System: Transparent billing with real-time balance tracking
- Dashboard: Monitor usage, costs, and generated content
Decentralized Node Network
Future- Independent GPU operators will be able to join the network and run node software.
- Starting with image generation (Stable Diffusion, Flux), expanding to LLMs, video, and training.
- Intelligent routing will match jobs to nodes based on availability, reputation, and latency.
5. Architecture Overview
Infraxa operates on a hybrid architecture:
API Layer
Unified access point for inference, vector DB, and telemetry
Provider Layer
Aggregates major model providers (OpenAI, Anthropic, Gemini, xAI)
Data Layer
Handles storage, embeddings, and retrieval via the serverless vector DB
This design ensures high reliability and low latency while allowing Infraxa to evolve toward full decentralization as the network scales.
6. Competitive Landscape
| Project | Focus | Limitation | Infraxa Advantage |
|---|---|---|---|
| Akash Network | Decentralized compute | Not optimized for AI inference or data pipelines | AI-tuned inference and vector storage stack |
| Render Network | GPU rendering | Expensive for general AI workloads | Unified inference + data APIs, not just compute |
| Turbopuffer | Vector DB | Centralized & non-tokenized | Decentralized, serverless, and integrated |
| Bittensor (TAO) | AI training marketplace | Model quality variance, complex economics | Focused on inference reliability + affordability |
Infraxa bridges AI and Web3 infrastructure, targeting developers who want reliable, cost-efficient AI primitives rather than speculative compute marketplaces.
7. Roadmap
Phase 1 — Foundation (Now)
- Launch Infraxa Vector (serverless vector DB)
- Deploy unified inference API for LLM providers (OpenAI, Anthropic, Gemini, xAI)
- Begin data telemetry pipeline for opt-in dataset monetization
Phase 2 — Decentralized Image Generation (In Progress)
- Deploy node operator software for image generation (Stable Diffusion, Flux)
- Implement intelligent routing system with reputation scoring
- Onboard first 100 independent GPU nodes to the network
- Launch public API for decentralized image generation
Phase 3 — LLM Inference & Expansion
- Expand node network to support LLM inference (Llama, Mistral, Qwen)
- Implement low-latency streaming for chat and completion endpoints
- Launch developer dashboard for tracking usage, earnings, and reputation
- Scale to 1,000+ nodes across global regions
Phase 4 — Full Decentralization
- Implement model weight verification system to ensure nodes run authentic, non-quantized models
- Deploy centralized agent orchestration layer for complex multi-step AI workflows
- Add video generation models (Sora alternatives, Runway competitors)
- Enable distributed fine-tuning and training pipelines
- Build quality assurance mechanisms to verify model outputs and prevent degraded inference
8. Philosophy
Infraxa is built on a simple belief:
Access to intelligence is a public good.
By decoupling AI infrastructure from geographic and capital barriers, we enable a new generation of builders to create freely, fairly, and globally.
This is not merely an infrastructure project — it's a movement toward open, sustainable intelligence.
9. Summary
Infraxa provides:
A unified AI inference API across top model providers.
A serverless vector database built for developers and decentralized apps.
A future decentralized network for distributed AI compute.
Infraxa's mission is simple yet ambitious:
To power the intelligent web with accessible, affordable, and equitable AI infrastructure.