ZenMux is an enterprise-grade LLM gateway that makes AI simple and assured for developers through a unified API, smart routing, and an industry-first automatic compensation mechanism.
Only OpenAI and Anthropic protocols supported so if you need Gemini or Mistral youre already adding another gateway, hard to really call that a unified API with two providers
They mention running open source HLE benchmarks to keep routing honest but theres no detail anywhere on methodology or cadence or how those results actually influence routing decisions per workload
The compensation pool angle is interesting but I cant see anything about how its actually funded or capped, if you hit real enterprise volume and models go down like the CEO mentioned how does a 4 month old product handle that without draining reserves
The “model insurance” angle is bold. Putting risk on the infra layer instead of the builder feels like a meaningful shift.
Interesting approach on the gateway level. How do you see the balance between speed and output quality in enterprise environments.
The smart routing isn't just about cost — it's about not wasting GPT-4 on tasks that Claude Haiku can handle.
This product is in high demand. The only question is the pricing and whether the insurance works
ZenMux takes a bold approach by sharing risk with builders instead of just routing requests. The automatic compensation layer is a strong differentiator. From a technical angle, how do you define and standardize “inaccurate output” consistently across different models and use cases?
Finally, an LLM gateway that actually guarantees output quality! The automatic compensation is a brilliant way to build trust for enterprise use cases. Massive congrats on the launch!
Congrats on the launch, ZenMux team! A unified LLM gateway with smart routing is already valuable, but the “automatic compensation” angle is especially interesting — it’s rare to see reliability/quality guarantees treated as a first-class product feature. Curious how you define and measure “subpar results” (latency, hallucination rate, eval score, user feedback?) and what the compensation workflow looks like in practice.
Nice unified API + smart routing is becoming essential as teams juggle multiple models. Curious how the automatic compensation works in real failures vs partial degraded responses.
The LLM gateway space is getting crowded but enterprise reliability is still a real gap.
The hardest part of building any infrastructure tool is making complexity feel invisible to the end user. Looks like you're tackling that well.
What's your main differentiator vs existing gateways?
Big congratulations on the launch, ZenMux
An enterprise-grade LLM gateway with unified APIs, smart routing, and automatic compensation is exactly what serious AI teams need right now. You’re not just connecting models, you’re building trust into the infrastructure.
Wishing you strong enterprise partnerships and rapid scale ahead.
Routing is where most gateways feel similar on paper—what’s your actual decision policy in production (signals used, how often it updates, how you avoid regressions), and how do your public benchmarks translate into routing choices for a specific customer workload?
The automatic compensation mechanism is really clever. Balancing costs across multiple model providers is a pain point we've dealt with. How does it handle routing decisions when multiple providers offer similar performance but vastly different pricing? Does it learn from request patterns to optimize long-term?
Does ZenMux's credit compensation trigger on latency spikes the same way it does on hallucinations? That threshold is where the value gets real. Feeding compensated cases back so teams can fine-tune against their own failure modes is what makes the insurance self-improving.
Congrats on the launch! The model insurance angle is interesting, especially for production use cases where reliability matters more than raw capability. How do you objectively determine when an output qualifies as poor versus just subjective dissatisfaction?
Only OpenAI and Anthropic protocols supported so if you need Gemini or Mistral youre already adding another gateway, hard to really call that a unified API with two providers