Una gran experiencia de compras responde a una pregunta personal: ¿Cómo me verá esto?
SPREEAI brings that answer into view. One photo becomes a way to explore a garment on yourself, with the detail and familiarity that make an image feel real.
Behind that moment is years of research, careful engineering, and infrastructure built to keep pace. Our collaboration with Lambda helps bring those pieces together.
Cada detalle gana su confianza.
El camino que cae un césped. La forma de un cuello. La letra sobre una pieza favorita. Los pequeños detalles tienen mucho significado.
Our virtual try-on model brings pose, fabric, identity, and garment detail into one generation process. It is trained to understand how clothing changes across bodies and positions while preserving what makes the person recognizable and the garment distinctive.
That is what photorealism asks of us: care at every level, even where the technology is invisible.
Mejor ingeniería. Más espacio para crear.
Working alongside Lambda’s machine learning engineers, our team refined how training data is stored, how experiments are scheduled, and how compute is used on Lambda’s NVIDIA H100 infrastructure.
Lambda’s latest case study reports storage costs reduced by more than 30× and model FLOPs utilization rising from roughly 20% to 43%—a measure of how much available compute becomes useful model work. Per-try-on inference time fell from 23 seconds to under 10.
Para nuestros ingenieros, esto significa más capacidad para probar y perfeccionar. Para los compradores, significa menos tiempo de espera para ver el aspecto.
Ver lo que viene a continuación.
We are building toward richer ways to explore fashion, including layered looks and video try-on. The ambition is simple: give people a clearer sense of what they are choosing, wherever they shop.
Descubre el Lambda Historia del cliente y Técnicas de profundidad Para ver más de cerca el trabajo detrás de la experiencia.