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No. 1 in Korea, Global AI Deep Learning
The only automated trading program with 5 years of backtesting completed.

COIN MEDIC develops and provides automated cryptocurrency trading systems.
Founded in 2019, we've been at the forefront of automated trading technology in the cryptocurrency market.
We provide our clients with reliable and effective solutions for automated coin trading.

  • COIN MEDIC's automated trading system utilizes advanced algorithms and technology to analyze the market in real-time and identify the best trading opportunities.

  • At COIN MEDIC, we're committed to developing cutting-edge technology and innovative algorithms to deliver a superior automated trading solution to our clients.

  • The COIN MEDIC team leverages AI, machine learning, and big data analysis to predict market volatility and create optimal trading strategies.

  • The COIN MEDIC team possesses deep expertise in the cryptocurrency market and automated trading technology.
    Our team members have extensive experience in trading strategy development, market analysis, and software development.

VISION · MISSION · CORE VALUE

Our vision for AI is to complement human capabilities and enrich our lives.


We aim to model and reproduce human learning, reasoning, decision-making, and problem-solving abilities with AI. AI can be used to identify patterns, acquire knowledge, and solve problems based on data. Through these capabilities, AI can make people's lives more convenient and innovative.

Furthermore, we envision AI evolving to create intelligent systems that collaborate and interact with humans.
These systems are expected to provide benefits across various fields, such as healthcare, education, and investment.

Since 2019, we have been exploring the possibilities of the future through innovative AI technology. Our commitment to excellence and expertise has allowed us to grow into a recognized leader in our field, consistently delivering outstanding results.
Innovation

We continuously push the boundaries of new discoveries.
For example, advancements in machine learning and deep learning algorithms are driving groundbreaking results in various areas, such as image recognition, speech recognition, and natural language processing.

Transparency

Transparency in AI is recognized as a crucial issue, particularly regarding fairness, interpretability, and ethics. These aspects are actively being discussed and researched.
Efforts to increase the transparency of AI systems strengthen their reliability and accountability, enabling more effective utilization.

Accountability

AI systems must be safe and reliable.
This means they should not harm human property or rights due to incorrect predictions or decisions.
AI systems require developers and operators to follow appropriate design, testing, and validation procedures that prioritize safety and reliability.