Tinyboom supports embedded AI development from end to end
Collect real world data using edge devices. If you already have your own dataset, just import it in your project using drag&drop or data import API.
Seamlessly label your data with your team members. Tinyboom also supports customizable shortcuts for your fast labeling.
Build production level AI model only with clicks.
Get the embeddable model and deploy it in any kind of computing hardware.
Tinyboom models only use CPU for inference process, so you can run the models in common and inexpensive devices such as Rasberry pi.
The models use minimum amount of system usage (RAM, ROM), so Tinyboom models are suitable also when electricity is limited to the computing devices.
Tinyboom models do not have to communicate with cloud server for inference process. It contributes to boosting reliability and stability of AI system.
Tinyboom AI models are distributed without any royalties. It can be used for commercial purpose, internal system and research. (It is distributed under Apache2.0 license)
With end-to-end AI development platform, boost your AI product and reach market faster
Previously worked at Tokyo Electron Ltd. and iMed technologies Co., Ltd. He is engaged in image analysis AI engine development and catheter surgery support AI development. He started the company with the desire to accelerate the development of AI in the world and make people happy.
Experienced full-stack software development in various fields for 13 years. After developing e-commerce services, blockchain systems, and AI-embedded mobile applications, he joined our company in December 2021 with the desire to contribute to solving social problems through the democratization of AI.
Since the 1980s, he has experienced domestic and overseas marketing, product planning, business planning, management planning, and new business launching in the Konica Minolta Photo business. After leaving the company in 2016, he runs a consulting company related to digital imaging technology. He agrees with AItoAir’s vision of contributing to the manufacturing industry with AI and has been participating since January 2022.
Engaged in data analysis since 2018, including projects with large companies such as IBM. She worked as a teaching assistant in the Department of Computer Science at E-JUST University and holds a master’s degree in machine learning. After that, she joined AItoAir in January 2022 with the desire to contribute to the world with AI.
After graduating from university, she majored in Information Technology and engaged in various website development such as e-commerce and blockchain for five years. Participated in AItoAir as a web developer from May 2022.