Denis Sandu

When your product leans on a single AI provider, an outage can freeze core features and impact revenue. The fix isn’t “hope it won’t happen again”—it’s …

When an AI provider blips, your users shouldn’t. ShareAI automatic failover keeps requests flowing by routing to the same model across multiple providers—so the experience stays …

If your product relies on OpenAI’s API, an outage can ripple straight to users and revenue. Even short downtimes can block core features like chat or …

The AI ecosystem is crowded—LLMs, vision, speech, translation, and more. Picking the right model determines your quality, latency, and cost. But comparing across providers shouldn’t require …

Designing the perfect AI backend architecture for your SaaS is about more than “calling a model.” It’s about building a robust, multi-model platform that can scale, …

For most founders, adding AI isn’t the hard part anymore—pricing it is. Unlike traditional features, every AI interaction carries real marginal cost tied to model APIs. …

Teams are shipping AI features across multiple model providers. Each API brings its own SDKs, parameters, rate limits, pricing, and reliability quirks. That complexity slows you …

Accessing multiple AI models in one place helps teams ship faster, reduce spend, and stay resilient when providers change pricing or uptime. Below, you’ll learn how …

When your team plugs into multiple AI providers—OpenAI for text, Google for speech, AWS for vision, plus a few niche APIs—billing gets fragmented fast. Different units …

Updated Developers choose Requesty for a single, OpenAI-compatible gateway across many LLM providers plus routing, analytics, and governance. But if you care more about marketplace transparency …