Purchasing AI solutions is now easier than ever. Recently, demand for diverse AI solutions has surged among companies, driving rapid growth in the AI solution market. In particular, interest in digital transformation (DX) has sharply increased, and many companies are actively adopting AI technologies to support this shift. However, most AI solutions are provided in an on-demand format, tailored to the specific needs of each client. As a result, these solutions tend to lack generalizability and often rely solely on the original vendor for maintenance.
[Fig] Definition and Step-by-Step Process of Digital Transformation (DX)
To address these challenges, platforms offering generalized yet customizable AI solutions are emerging. Notable examples include Amazon Web Services (AWS) and Microsoft Azure, which provide a variety of AI tools. However, solutions offered through these large platforms often require significant additional work to adapt to the unique needs of individual businesses.
[Fig] Supply Process of On-Demand AI Solutions and Global Market Size & Forecast (in Billion USD)
A Korean company, Dalpa Inc. (CEO Do-kyun Kim), is responding to this market demand. Dalpa's AI Store enables companies to easily purchase existing AI solutions and offers customized on-demand solutions if additional adaptation is needed. The company recently secured 12 billion KRW in a successful Pre-Series A funding round, demonstrating the value of its technology. With this investment, Dalpa plans to aggressively recruit top talent and expand its business by enhancing its technology across the B2B AI spectrum and launching a wider range of products.
[Figure] Example of Dalpa Inc.'s AI Marketplace Platform and Its Supply Workflow
Korean companies are actively developing their own AI technologies and expanding them into various applications. One leading example is Nota Inc. (CEO Myung-soo Chae), whose proprietary HW-aware AutoML platform NetsPresso automatically generates optimized AI models for specific hardware using only training data. Previously, this process required substantial manpower and time. NetsPresso automates and accelerates development and optimization, significantly reducing both time and cost. The platform has already undergone technical validation with multiple client companies and is currently in development for official release.
[Fig] Nota Inc.’s AutoML Technology: “NetsPresso”
Another example is Algorithm Labs Inc. (CEO Jin-ho Son), which offers on-demand AI solutions customized to industry-specific needs. By applying hybrid neural network technology, the company has developed a method to optimize AI models based on artificial neural networks. This innovation helps enhance and optimize the problem-solving capabilities of existing AI models.
[Fig] Example of Algorithm Labs Inc.’s On-Demand AI Solutions
The BLT Patent & Law Research Center commented, “AI solutions tailored to enterprise DX needs will become a major opportunity for companies,” and added, “Securing IP rights for a wide range of AI solution technologies will be a smart strategic move.”
As of 2025, BLT Patent & Law Firm has been selected by over 2,000 innovative startups and has supported their growth and success through comprehensive IP strategies, fundraising assistance, and specialized services including technology IPO consulting.
#AITechMarketplace #AISolutionTrading #CustomizedAISolutions #OnDemandAI #DigitalTransformation #AIAPI #DX #Dalpa #Nota #AlgorithmLabs #AISolutions #AutoML #AIStartups #AIPlatforms #IPStrategy #TechPatents #StartupFunding #BLTPatentandLaw
Purchasing AI solutions is now easier than ever. Recently, demand for diverse AI solutions has surged among companies, driving rapid growth in the AI solution market. In particular, interest in digital transformation (DX) has sharply increased, and many companies are actively adopting AI technologies to support this shift. However, most AI solutions are provided in an on-demand format, tailored to the specific needs of each client. As a result, these solutions tend to lack generalizability and often rely solely on the original vendor for maintenance.
[Fig] Definition and Step-by-Step Process of Digital Transformation (DX)
To address these challenges, platforms offering generalized yet customizable AI solutions are emerging. Notable examples include Amazon Web Services (AWS) and Microsoft Azure, which provide a variety of AI tools. However, solutions offered through these large platforms often require significant additional work to adapt to the unique needs of individual businesses.
[Fig] Supply Process of On-Demand AI Solutions and Global Market Size & Forecast (in Billion USD)
A Korean company, Dalpa Inc. (CEO Do-kyun Kim), is responding to this market demand. Dalpa's AI Store enables companies to easily purchase existing AI solutions and offers customized on-demand solutions if additional adaptation is needed. The company recently secured 12 billion KRW in a successful Pre-Series A funding round, demonstrating the value of its technology. With this investment, Dalpa plans to aggressively recruit top talent and expand its business by enhancing its technology across the B2B AI spectrum and launching a wider range of products.
[Figure] Example of Dalpa Inc.'s AI Marketplace Platform and Its Supply Workflow
Korean companies are actively developing their own AI technologies and expanding them into various applications. One leading example is Nota Inc. (CEO Myung-soo Chae), whose proprietary HW-aware AutoML platform NetsPresso automatically generates optimized AI models for specific hardware using only training data. Previously, this process required substantial manpower and time. NetsPresso automates and accelerates development and optimization, significantly reducing both time and cost. The platform has already undergone technical validation with multiple client companies and is currently in development for official release.
[Fig] Nota Inc.’s AutoML Technology: “NetsPresso”
Another example is Algorithm Labs Inc. (CEO Jin-ho Son), which offers on-demand AI solutions customized to industry-specific needs. By applying hybrid neural network technology, the company has developed a method to optimize AI models based on artificial neural networks. This innovation helps enhance and optimize the problem-solving capabilities of existing AI models.
[Fig] Example of Algorithm Labs Inc.’s On-Demand AI Solutions
The BLT Patent & Law Research Center commented, “AI solutions tailored to enterprise DX needs will become a major opportunity for companies,” and added, “Securing IP rights for a wide range of AI solution technologies will be a smart strategic move.”
As of 2025, BLT Patent & Law Firm has been selected by over 2,000 innovative startups and has supported their growth and success through comprehensive IP strategies, fundraising assistance, and specialized services including technology IPO consulting.
#AITechMarketplace #AISolutionTrading #CustomizedAISolutions #OnDemandAI #DigitalTransformation #AIAPI #DX #Dalpa #Nota #AlgorithmLabs #AISolutions #AutoML #AIStartups #AIPlatforms #IPStrategy #TechPatents #StartupFunding #BLTPatentandLaw