After collecting various information about the situation, it is converted and provided in a way that can be easily recognized by AI, enabling the most rational decision-making process.
In order to meet the complex requirements of our customers, we manage the technologies by module and provide them flexibly in the form of ‘combined and separate’ to tailor to individual customer needs.
To improve the reliability of the existing AI insists on inefficient manual work, we put user trust at the center while aiming for system automation by providing convenient functions such as transparent processing, explanation functions and administrator control.
In addition to providing the model, we aim for a management system that maintains the best performance through repeated re-training during implementation and monitoring.
First case in Asia and South Korea!
In AI Core Technologies
Why COOL?!
"It makes complicated AI techniques such as reinforcement learning and transfer learning accessible to non-expert users. "
"The Platform provides a wizard function that can optimize organization-specific targets required for RL without significant expert intervention. AgileSoDA also has a patented automatic compression algorithm… "
"Customer of AgileSoDA cited ease of use, low cost and high flexibility, all leading to cost reduction and operational efficiency, as the top reasons why they opted for the platform. "
Reinforcement Learning category
Hype cycle for IT Management Intelligence, 2023
Hype Cycle for Data Science and Machine Learning, 2023
GAN (Generative Adversarial Networks) Technology Sector
Commendation from the Minister of Science and ICT for outstanding ICT fund business
2023.09Award AI Technology Award at edaily AI Korea Award
2022.09Grand Prize at CJ CIAT Demo Day
2022.04Presidential Award for Achievements in ICT, presented on 2022 Information Communication Day
2022.04Grand Prize in the South Korea First Class Companies Award
2022.03Minister of Science and ICT Award (CEO, Daewoo-Choi)
2021.12Digital Today CEO Award
2021.12Won the AI Championship hosted by the Ministry of SMEs and Startups / Korea Institute of Startup & Entrepreneurship Development
2021.11Awarded the grand prize in the process automation category of the AI Korea Awards
2021.11Gartner AI Core Technologies
2021.10Top 500 High-growth Companies in Asia Pacific by Financial Times
2021.04Received an award from the Minister of SMEs and Startups at Good Job Awards
2020.11Awarded excellence prize in the intelligent system category of Korea Intelligent Information Systems Society
2020.06Received an award from the President of the Electronics and Telecommunications Research Institute (ETRI) at the Fourth Revolution Awards
2019.12Awarded the grand prize in the financial solution category of the AI Korea Awards
2019.11Awarded the Korea Chamber of Commerce and Industry Awards at the Korea Startup Awards
2019.06Awarded the grand prize at the Korea Small-Medium Business Awards
2019.05No. | Invention |
---|---|
1 | Deep learning-based model learning method and system for automatic determination of the degree of damage for each part of a vehicle |
2 | Classification system and method based on generative adversarial neural network using labeled data |
3 | OCR-based document analysis system and method using artificial intelligence |
4 | OCR-based document analysis system and method using NLP |
5 | OCR-based document analysis system and method using self-reliability information |
6 | Machine learning-based yield management device and method |
7 | Data-based reinforcement learning device and method linking learning goals and rewards |
8 | Classification system and method based on generative adversarial neural network |
9 | Reinforcement Learning device and method using conditional episode construction |
10 | Fraudulent loan classification system and method based on Reinforcement Learning |
NeurlPS 2019
A Deep Decision-making Framework for Fraud Detection
UR Pick & Place Robot 2021
A Deep Reinforcement Learning-based Application Framework for Conveyor Belt-based Pick-and-Place Systems using 6-axis Manipulators under Uncertainty and Real-time Constraints
IEEE ACCESS
A2GAN : A Deep Reinforcement-based Learning Algorithm for Risk-Aware in Finance
An analyst who has completed more than 200 AI projects, including financial institutions, governments, and manufacturing
Introduced R language in Korea for the first time, and was recognized as an
AI expert by successfully implementing a project that applied Reinforcement Learning to the financial sector business for the first time in Korea
2-3F, Infostorm Building, Seolleung-ro 525 Gangnam-gu, Seoul | TEL(02-558-8300) | contact@agilesoda.ai
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