Introduction

EvoLink helps developers build production-ready AI applications through one unified API. It provides streamlined access to leading language, image, video, and audio models, with transparent pricing, intelligent routing, automatic failover, and centralized usage management.

What is EvoLink?

EvoLink is a unified AI model API platform for developers, startups, and engineering teams. Instead of integrating and managing each AI provider separately, users can access multiple models through one API key and a consistent integration workflow.

The platform supports models for text generation, reasoning, coding, image generation and editing, video generation, and AI music. Developers can compare capabilities and pricing, switch models as requirements change, and manage usage and billing from one place.

Features — Why Use EvoLink?

One API for multiple AI models: Access leading LLM, image, video, and audio models without building a separate integration for every provider.

Flexible model switching: Change models with minimal application changes as performance, cost, or product requirements evolve.

Smart routing: Route requests based on availability, latency, reliability, and cost.

Automatic failover: Reduce service interruptions by routing requests away from unavailable or degraded endpoints.

Transparent pay-as-you-go pricing: Review model-level pricing and pay according to actual usage, without monthly minimums.

Unified billing and analytics: Track API usage, costs, keys, and activity from one dashboard.

Developer-friendly integration: Use familiar API formats, documentation, and SDK-compatible workflows to move from testing to production.

Multimodal model access: Build with language, image, video, and audio models through the same platform.

Use Cases

AI agents and workflow automation: Power research agents, coding assistants, customer-support agents, and automated business workflows.

LLM applications: Build chatbots, copilots, reasoning systems, content tools, and document-processing applications.

AI image products: Add image generation, editing, product visualization, marketing creative, and design workflows.

AI video applications: Create text-to-video and image-to-video features for advertising, social media, entertainment, and content production.

AI music and audio workflows: Generate music and audio assets programmatically for apps, games, and creator platforms.

Multi-model evaluation: Compare models by quality, speed, capabilities, and price before selecting one for production.

Provider redundancy: Maintain application availability by reducing dependence on a single model provider.

Cost and usage management: Centralize model spending, API access, billing, and usage visibility across development teams.