The Gold Standard of AI
From Data to Commercialization
With Sweetndata's proprietary core AI technology,
we build the perfect pipeline.
OUR TECH
SWEETNDATA AI CORE TECH
Subject-based multi-feature
consistent Generation
AI-based image generation technology is advancing rapidly, but one of the biggest remaining challenges is the 'Identity Consistency' problem.
Even when generating the same person, facial contours, eyes, nose, mouth, and proportions subtly differ in each scene, requiring significant manual work to align them afterward.
This problem compromises character and human consistency in content creation, significantly increasing costs and production time.
Sweetndata developed the Subject-based Multi-feature Consistent Generation technology — Human AI Twin — to solve these issues.
This technology goes beyond simply making faces look similar; it comprehensively learns and consistently maintains various features of a person (facial structure, skin tone, hairstyle, expression patterns, etc.).
This technology is actively used in character IP business, photo booth services, personalized content creation, and more, establishing itself as a key technological advantage in IP-based content business.
Multimodal Generative
Foundation Model
Today's generative AI is rapidly evolving beyond creating images from text, moving toward understanding and integrating diverse inputs (images, audio, expressions, motion, etc.).
Sweetndata is developing multimodal generation technology to overcome these limitations.
This technology analyzes different types of data — text, images, audio, video — together and combines them within a unified generation pipeline.
For example, inputting a music file (audio) analyzes beats, rhythm, emotion, and dynamics to automatically generate matching visual scenes, or reference text instructions and portrait photos simultaneously to produce concept-specific videos.
This multimodal architecture goes beyond simply enhancing the expressiveness of generation models, moving toward expanding human senses. Sweetndata applies this technology to IP reproduction, fan participatory content, interactive media, and more.
On-device AI &
Quantization Technology
As generative AI models become more advanced, the required computation and costs increase accordingly. Especially in environments needing high-resolution images or real-time content generation, cloud dependency grows, leading to response delays, server cost increases, and privacy issues.
Sweetndata has developed on-device AI execution and model quantization technologies as core capabilities to solve these problems.
This enables fast AI content generation in local environments without the cloud, achieving both cost reduction and real-time performance.
Want to work with Sweetndata?
From project inquiries to technical consulting, feel free to reach out.