
Flaviu Radulesc began Runware in 2023 when he was testing a text-to-image firm and realized that, although genAI tech was highly effective, it was sluggish in producing photographs. So Radulesc teamed up with Ioana Hreninciuc and launched Runware as a dev device platform that makes a speciality of producing photographs, movies, and audio in actual time.
The corporate has seen a lot development because it first launched. It has powered greater than 5 billion creations for greater than 100,000 builders, the corporate instructed TechCrunch.
The product lets builders combine Runware’s API into their apps after which generate media property by means of one interface, so that they don’t need to arrange any new infrastructure or preserve separate integrations. It has a customized AI inference infrastructure for open-source fashions, and supplies day-zero entry (which means as quickly as a mannequin is launched, it might probably run on Runware) and aggressive pricing, Hreninciuc, who focuses on operations and GTM, instructed TechCrunch.
On Thursday, the corporate introduced a $50 million Sequence A in a spherical led by Daybreak Capital. Daybreak Capital Partner Shamillah Bankiya is becoming a member of the board. Others within the spherical embody Perception Companions and a16z Speedrun. Runware has raised $66 million in funding to date.
Hreninciuc mentioned the corporate stays aggressive by means of its pricing, which is “more-cost efficient,” along with having a completely unified API. She mentioned the corporate does this with its Sonic Inference Engine, which runs on customized AI {hardware}. It additionally companions with third-party AI cloud suppliers in order that it might probably reroute workloads routinely in case extra reminiscence is required.
“On the software program facet, we closely optimize mannequin loading and offloading, which lets us help over 400,000 fashions and make any of them obtainable for inference in actual time,” she continued.
Startups that concentrate on dev instruments for picture and video have been a very scorching marketplace for VC curiosity currently. Fal.ai, as an illustration, simply raised $140 million at a $4.5 billion valuation, its second big increase in a matter of months. Fal.ai focuses on the breadth of mannequin choices versus customizing for pace. So, Hreninciuc considers her opponents to be normal open-source mannequin makers, reminiscent of Hugging Face; Replicate, a startup that runs open-source fashions in apps with only a few traces of code; and Together AI, an identical genAI mannequin hoster.
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These firms, as Radulescu beforehand instructed TechCrunch, promote primarily based on GPU compute time. Runware as a substitute leans towards the mannequin of Steady Diffusion and Flux, providing a extra cost-per-image generated so that individuals pays for what they want fairly than shopping for a block of compute time.
Hreninciuc mentioned the contemporary capital can be used to maintain increasing the corporate’s infrastructure and it hopes to make use of its Sonic Inference Engine to energy over 2 million fashions. The massive aim is to be the API for all AI — in order that any generative AI mannequin can and does run on the platform.
“We’re additionally increasing quickly into new modalities,” she mentioned, including that the corporate goes to broaden the present crew of round 25 to assist make that occur.
General, Hreninciuc hopes Runware continues to “make it attainable for purposes to scale to tens of millions of customers whereas truly maintaining their margins,” she mentioned, including that it helps make the market extra inexpensive. That “advantages everybody,” she continued. “From the app builders to the top customers, and places highly effective AI into extra individuals’s fingers globally.”
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