The Inference Layer Is the New Cloud at Decacorn Speed

OpenRouter is a unified API platform that gives developers access to many leading AI models through one endpoint, making it easier to compare providers, manage fallbacks, and route traffic without rebuilding integrations each time. Teams can use it to prototype faster, optimize model cost and quality, and keep application logic more portable across model vendors. It is especially useful for startups, AI product teams, developers, and experiment-heavy builders who want flexibility when working with multiple frontier and open models. What makes OpenRouter stand out is its model marketplace approach combined with practical routing and compatibility features, letting users treat model access as an interchangeable layer instead of getting locked into one provider from the start.

Baseten is an AI inference platform for deploying, optimizing, and operating machine learning models in production. It helps engineering teams serve open-source or custom models with reliable performance, scalable infrastructure, and tooling built for real-world AI workloads rather than experimentation alone. That makes it useful for startups, enterprise AI teams, and ML engineers who need to move from prototype to production without building every layer of inference infrastructure themselves. Baseten supports model serving, optimization, and operational workflows that matter when latency, reliability, and cost control become business-critical. What makes Baseten stand out is its strong production focus and hands-on positioning around serious inference workloads, giving teams a dedicated platform for scaling AI products with less operational friction than maintaining a fully custom stack.

Fireworks AI is a high-performance inference platform for deploying and scaling AI models at production speed. The platform offers optimized serving for open-source LLMs with sub-100ms latency, supporting popular models and custom fine-tuned variants. Fireworks AI handles infrastructure complexity with auto-scaling, A/B testing, and production-grade reliability for engineering teams building AI-powered applications. It supports rapid model deployment without managing GPU infrastructure, offering cost-effective inference at enterprise scale. Recently reported raising at a $15B valuation, reflecting strong demand for efficient AI inference solutions. Fireworks AI is ideal for developers and platform teams who need fast, reliable, and scalable model serving for production workloads.