The Challenge

Higgsfield's engineering team had a problem. Their AI video platform - the one generating cinematic camera movements and style transfers for millions of users - needed inference infrastructure that could handle a new model at competitive rates. The kind of infrastructure decision that usually takes weeks to make.

‍

Traditional vendor evaluation cycles are slow by design. You research providers, schedule demos, run technical evaluations, negotiate contracts, integrate APIs, test at scale. Each step adds time. Miss the window, and competitors ship first.

‍

The Solution

Runware had built their Sonic Inference Engine specifically for high-volume media workflows - the kind where sub-second latency matters and downtime isn't an option. Companies like Wix, Together.ai, ImagineArt, and Quora were already running production workloads on their infrastructure. The technical fit was clear.

‍

What made the difference was the introduction. Both companies were Zero Prime portfolio investments. The intro happened immediately, and the relationship moved fast. Higgsfield went from first conversation to production deployment without the typical procurement dance.

‍

The Results

Today, every image generation request on Higgsfield's platform routes through Runware's API. After testing multiple providers, Higgsfield's engineering team noted Runware's infrastructure is "much more stable than other platforms" they evaluated. When new models launch, they deploy quickly. No integration overhead, no infrastructure maintenance. Higgsfield's team ships product instead of managing backend operations.

‍

Why It Matters

Both companies closed $50M Series A rounds in 2024 - Higgsfield in September, Runware in December. The relationship illustrates what matters beyond capital: when technical founders need infrastructure they can trust, speed of execution determines who ships first.

‍

The Zero Prime network collapses vendor evaluation timelines. Not just for these companies, but for every technical founder in our portfolio who needs infrastructure that works when the next model drops and the clock starts ticking.