Engineering practical AI products and production-ready AI infrastructure.
LogicGo Infotech is an AI-focused technology company building real-world applications powered by Generative AI, Computer Vision, multimodal models, and intelligent automation.
We work across the complete AI product lifecycle โ from model experimentation and inference to backend APIs, application integration, and production deployment.
๐ก Our mission: turn capable AI models into reliable products that developers and businesses can actually use.
Alongside our Spaces, we maintain a growing collection of fine-tuned and custom models on Hugging Face, covering image editing, segmentation, generation, and identity/vision tasks.
| Model | Focus Area |
|---|---|
| ๐๏ธ Qwen-Image-Edit-Object-Removal | Image-to-Image ยท Object Removal |
| ๐งฉ Mask-Segmentation | Image Segmentation |
| โก Qwen-Image-Fast-IO-Unsensored | Fast Image-to-Image Generation |
| ๐จ Imagegeneration-flux | Text/Image-to-Image Generation |
| ๐ฌ WAMU-Merge-MotionBoost_WAN2 | Video / Motion Generation |
| ๐๏ธ clip-vit-large-patch14 | Vision-Language Embeddings |
| โจ ImageEnhancer | Image Enhancement |
| ๐งน ObjectRemover | Object Removal |
| ๐ง face_swap_models | Face Swap / Identity AI |
| ๐ผ๏ธ Background_Remover | Image Segmentation ยท Background Removal |
๐ง Our models are actively maintained and used in production to power the APIs and applications listed above.
This organization hosts our AI services, inference applications, model integrations, prototypes, and production-oriented Spaces.
| ๐จ Image Gen | ๐ฌ Video Gen | ๐ Interior Design | โจ Enhancement | ๐ผ๏ธ Background Removal |
|---|---|---|---|---|
| ๐จ Colorization | ๐ง Face & Identity AI | ๐บ Motion Control | ๐ฝ๏ธ Calorie Analysis | ๐ฃ๏ธ Talking Avatars |
๐ Our Spaces are built to evaluate, deploy, and expose practical AI capabilities through accessible interfaces and APIs.
| Principle | What it means |
|---|---|
| ๐๏ธ Production First | We build with deployment, reliability, monitoring, and scalability in mind. |
| โก Performance | Efficient inference and infrastructure are treated as core product requirements. |
| ๐งโ๐ป Developer Friendly | Clear APIs, predictable responses, and straightforward integration. |
| ๐ก๏ธ Responsible AI | Privacy, safety, and responsible handling of generated content considered throughout the lifecycle. |
| ๐ Continuous Innovation | We continuously evaluate new models and techniques and turn research into practical systems. |