SPREEAI builds AI products for fashion retail—photorealistic virtual try-on, video-based modeling, and intelligent sizing. The stack reveals a computer-vision-first company: PyTorch, Stable Diffusion, ControlNet, LoRA on the model side; Swift, Kotlin, ARKit, CameraX for mobile; and Go + Kubernetes + vLLM for inference serving. Hiring is accelerating with a heavy intern-to-mid mix (7 interns, 6 mid-level) across engineering, marketing, and design—suggesting rapid scaling of core product and go-to-market functions while building design capability from scratch.
SPREEAI is a fashion-technology company that develops AI-driven shopping experiences for online and physical retail environments. The product focuses on three core capabilities: photorealistic virtual try-on (powered by generative models), video-based customer modeling, and smart sizing recommendations. The platform is designed to reduce returns, increase engagement, and enable brands to deliver personalized shopping journeys. Headquartered in Los Angeles with 11–50 employees and active hiring in the United States and France, the company operates as a B2B SaaS vendor serving fashion retailers and brands.
PyTorch, Stable Diffusion, ControlNet, and LoRA for generative modeling; vLLM and Triton for high-performance inference serving; ARKit and CameraX for on-device camera and AR experiences.
Los Angeles, California. The company is hiring in the United States and France, with 11–50 employees total.
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