MakeHub

MakeHub sits between your application and the growing marketplace of large language model providers. Rather than committing to a single vendor for a given model such as GPT-4, Claude, or Llama, you send requests to MakeHub's unified API and it decides, at request time, which provider should serve the call. The decision weighs live performance signals, availability, and pricing, which helps teams avoid vendor lock-in and get more consistent results from the same underlying models.

Because the routing layer is dynamic, MakeHub doubles as a reliability and failover mechanism. If a provider is slow or degraded, traffic can be steered toward a healthier host instead of failing outright. This makes it attractive for production workloads where uptime and tail latency matter, and for teams whose usage patterns spike unpredictably.

Cost is the other headline benefit. Because the same model is often available from several competing providers at different rates, MakeHub can arbitrage those differences and route to the most economical option that still meets the performance bar. The result is a single integration point that keeps your AI stack portable, resilient, and cheaper to run as the provider landscape shifts.