Features

• Get proper pre-processing done automatically

  Well-prepared data is the most important recipe for powerful predictive analysis. DAVinCI LABS automatically performs processing tasks that are essential for Machine Learning, such as missing value handling, variable type selection, and various data transformation.

• Follow the UI that thinks like a data analyst

  Modeling, validating, comparing, reporting.. There are a ton of tasks that a data analyst needs to consider. Just follow DAVinCI LABS's authentic UX and its visualized platform that has been designed from years of research in data analysts' modeling process chain.

• Strengthen your predictive analysis with rich ML algorithm package

  With a few mouse clicks, create powerful prediction models with proven Solidware-modified ML algorithms, no hard-coding necessary.

• Get optimal business rules through automatic clustering

  Create a variety of business rules by discovering many complex patterns hidden within Big Data- All in just one day.

• AI is all about auto-optimization

  Maximize model performance with AI based Algorithm auto-tuning, Ensemble, and Champion algorithm selection.

• DAVinCI understands enterprises' needs

  Even a high-performing model is difficult to operate at enterprises, if modeling results are inexplainable or the model itself cannot be updated with ease. With its original technology, DAVinCI LABS overcomes such obstacles by providing explanation for its predictions, and by automatically extracting JAVA library files for fast and convenient model updates.

Process

UX that navigates like a data analyst.

AI engine proven with excellent results.

Discovering hidden patterns inside diverse datasets requires sophisticated data pre-processing and analytics technology

In DAVinCI LABS, we have bundled years of research and know-how gained from enterprise projects by our world-class machine learning scientists

1. Data Upload
   1. Extract structured data from the internal and external datasources
   2. Assign primary key for collecting and merging data
   3. The target variable along with its respective variables for each PK must have been defined
2. Data Preprocessing
   1. Convert data into numeric format that machine learning can recognize
   2. Smart data preprocessing by automatically detecting missing values
   3. Basic statistical analysis and baseline fitting
3. Training Models
   1. Parameter optimization for machine learning algorithms
   2. Rich library of state-of-the-art algorithms including Deep Learning & GBM
   3. Automatic selection of the champion algorithm to maximize performance
   4. Developing outstanding models with just a few clicks
   5. Automatic cluster analysis feature
   6. Automatic grading system by each model
4. Prediction Model & Reporting
   1. Automatic report creation for comparing models
   2. Evaluate individual prediction and statistical analysis in Excel file
   3. List of all fields’ weights with respect to the target
   4. Evaluate the developed model using a new dataset
   5. Download the prediction function as a JAVA library for real-time operation

Keep prediction models up-to-date with DAVinCI LABS's instant retraining feature

1. AI will learn from new incoming data and reflect it in the re-trained model
2. Updated prediction function will be automatically produced for easy system integration & real-time operation

PHASE 1Prediction model generation via Machine LearningTraining models based on past data

Client DB (Big Data)

Finance, commerce, manufacturing, medical, etc.

Model training & analysis

Data pre-processing & pattern recognition

Prediction function (scoring model) generation

Mount prediction function on existing system

PHASE 2Operate & update prediction functionCompute prediction for new data / algorithm retraining

Accumulation of new incoming data

Real-time operation of prediction function

Apply predictions to business strategies

Credit scoring, Churn/fraud/defect detection, Target marketing responsiveness prediction

Algorithm retraining &prediction function update

Use Case

• Credit Scoring
• CRM
• Target Marketing
• Early Warning
• Fraud Detection
• Anomaly Detection

• 
  "Credit card issuance credit scoring system innovation pilot project"
• 
  "Enhanced prediction power for both auto accident severity and frequency"
• 
  "2.7% decrease in annual default rate proved through back-testing"
• 
  "Innovation of credit scoring modeling: over twice the predictive power compared to traditional models"
• 
  "Innovation of credit scoring for mid-risk retail lending"
• 
  "Innovation of credit scoring: ability to predict loan defaults increased by 50%"

FAQ

• Q

  What data formats are supported, and how do I upload data?

  A

  Currently, DAVinCI LABS supports separator text or CSV file format, and can analyze data combined into one file. Functionalities such as integrating with a database and extracting data from it will be added in the future.
• Q

  What does 'prediction model' mean?

  A

  A Prediction model is a system that is produced from analyzing big data using machine learning algorithms. It is used for predicting future values of specific objects or fields(variables) based on patterns found during machine learning algorithm training. For example, this means predicting the default rate of a loan customer or estimating the loss rate of an insured person.
• Q

  How much data do you need to develop a good prediction model?

  A

  This depends on what the user wants to predict and the nature of the data, but meaningful analysis is plausible with few hundred data samples that contain target information (specific data that represents what the user is trying to predict).
• Q

  What machine learning algorithms are available?

  A

  Currently, there are seven machine learning algorithms available: Neural Network, Stabilized Deep Net, Gradient Boosting Machine, Ridge Regression, Random Forest, Generalized Linear Model, and Logistic Regression. More will be added going forward.
• Q

  Can you develop a prediction model even if you are a non-expert with no knowledge of machine learning?

  A

  The UI/UX is designed to be intuitive and easy to use for non developers/data analysts/machine learning professionals. Powerful prediction models can be generated with just a few mouse clicks. The solution contract includes free-of-charge training for usage and modeling by default, and continuous on-line and off-line customer support are provided.
• Q

  Can I integrate a prediction model with my internal system and run it in real time?

  A

  An advantage of DAVinCI LABS is that it generates machine learning models that produces prediction values for new data in real time. The user can download prediction models in the form of a Java library or other executable files. Once the download is complete, the user can refer to informational documents to be able to mount the model as a function in his/her existing system. Once mounted, prediction values can be requested to the model in real time. Other questions related to customized system integration can be answered via contact contact@solidware.io
• Q

  With machine learning, staying updated by continuously learning from new data is important. Can this be achieved with DAVinCI LABS?

  A

  The user can re-train models as much as he/she wants, such as daily or monthly, to create an updated prediction model that reflects the latest data patterns.
• Q

  Machine learning has been difficult to use in enterprise business due to lack of explanation for predictions. What about DAVinCI LABS?

  A

  DAVinCI LABS's prediction models are based on complex machine learning algorithms, but it has been designed to generate explicable outputs rather than being a black-box. Through its proprietary algorithms, it helps to explain individual predictions by quantifying the influence that each field(variable) contributed in producing them.
• Q

  Is DAVinCI LABS used only in finance?

  A

  If predictive modeling based on pattern analysis is needed, regardless of the business type, DAVinCI LABS can be put to work immediately. Areas where DAVinCI LABS is applicable are: risk assessment, fraud detection, customer behavior based target marketing, churn prediction, defect detection, complaint prediction, efficiency/performance prediction, disease diagnosis, accident prediction, and more
• Q

  Where can I contact for more questions?

  A

  We will gladly provide answers to your questions at contact@solidware.io

Team

Experts in machine learning, data science, and business management from around the globe have gathered here at Solidware.

• 

  Jay Park

  CEO
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  Jay Park

  CEO

  'Technology becomes meaningful only when it embeds practical value for both humanity and the world.'
  
  Solidware's technology is practical, and this is the foundation of our business philosophy. We don't stop at just cultivating excellent technology; we try to generate reasonable value through it as we consider benefiting the world our true calling.
  Accordingly, CMO Jay Park performs the role of faithfully spreading all around the world the practical value created by Solidware's developers.
  
  
  Jay majored in industrial design at Sangmyung University and worked as the Head of Software Business Planning at global engineering software vendor MidasIT, directing its business operations that exported software solutions to over 110 countries world-wide.
  Currently, Jay also directs the Artificial Intelligence software business at DAYLI Intelligence while serving as Solidware's business executive.
• 

  Jaekeun Park

  Business Dev. Manager
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  Jaekeun Park

  Business Dev. Manager

  Jaekeun works in AI business development and project management at Solidware. He graduated from Korea Aerospace University with a bachelor's degree in Transportation and Logistics. He has been interested in statistical modeling for economic and decision making such as Traffic Flow Theory, Operation Research. After graduation, he worked at FASTCAMPUS as a manager designing and managing classes of Data Science. Currently he is developing AI business models and managing projects for financial industries.
• 

  Bill Yoon

  Global Biz Project Manager
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  Bill Yoon

  Global Biz Project Manager

  With extensive years of living abroad and experience in global business for IT solutions, Bill is currently handling global business development & projects overseas, especially for English-speaking countries. Bill graduated from the University of Massachusetts-Amherst, and has a Bachelor of Arts degree in Economics. Prior to joining Solidware, Bill developed his career at IT companies mainly focusing on international business, with expertise in direct sales, online marketing, and partnership management.
• 

  Dooyoul Yoo

  Business Consultant
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  Dooyoul Yoo

  Business Consultant

  He is responsible for business consulting and project management. He graduated from Seogang University with Master of Mathematics and Signal Process. He has performed CSS projects at the Experian which is one of the financial institutions in the United Kingdom, including banks and credit card companies, and have a number of relevant business experiences, including system implementation consulting and data analysis, for customer decision support purposes.
• 

  Jaeyong Park

  Business Sales Manager
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  Jaeyong Park

  Business Sales Manager

  Jaeyong participated in the Design-Thinking Lab and studied how to solve business problems. He has built up a mobile application company and gained experience. He also worked for a technology company and participated in 50 BI business sales and business management. Since then, he has been involved in business development at NeuroAssociates, a subsidiary of DAYLI intelligence. Currently, he is working in the Technical Sales team at DAYLI intelligence's AI business planning department.
• 

  Ivy Jeong

  Japan Biz Team PM
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  Ivy Jeong

  Japan Biz Team PM

  Ivy is in charge of Japanese business development and project management. She graduated from Aoyama Gakuin University with a bachelor’s degree in Politics and got a Master of International Relations from Australian National University (ANU). Prior to joining Solidware, Ivy developed her career at IT company mainly focusing on IoT, AI speaker, with expertise in global sales and marketing.
• 

  Ina Kim

  Business Dev. Manager
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  Ina Kim

  Business Dev. Manager

  Ina is in charge of business development. Prior to joining Solidware, she worked for a IoT startup based on Silicon Valley as a business development manager. Also, she had experience working for a education startup as a product manager.
• 

  Stella Lee

  Sales Support manager
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  Stella Lee

  Sales Support manager

  Stella is in charge of sales and management support at the Solidware. Shw majored in business engineering in college. Studying at university has given me an interest in the fast-changing IT industry. As a result, She worked for a domestic IT company for many years. Other companies have a number of related work experience.
• 

  Joohyoung Lee

  Business Sales Manager
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  Joohyoung Lee

  Business Sales Manager

  Joohyoung is currently in charge of domestic business development and technical sales at the Business Planning team. Prior to joining the Daily Intelligence Company, the company that develops the IT solution carried out the CAE numerical analysis project to minimize operational error and optimize costs of development products in semiconductors, electrical/electronic, automotive, steel, space/aircraft and defense companies. Afterwards, He has experience as a general manager of a single branch office, from hiring, sales training (OJT), product analysis and branch sales management. He doesn't think our major business areas, artificial intelligence and machine learning, are replacing people. Instead, think of it as a solution that will help you complement/improve existing systems in a better direction and make fast and accurate decisions based on your data.
• 

  Nicole Kim

  Business support manager
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  Nicole Kim

  Business support manager

  Nicole is in charge of finance & accounting in Solidware. She majored in business administration, and I have over three years experience in American and Domestic companies with Singapore and Japanese corporations. She establishing a monthly / quarterly / semi-annual budget with the role of taxpayers,accountants, and settlement of accounts such as salary, 4 insurance, and VAT withholding tax.
• 

  Jinhee Hwang

  HR Manager
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  Jinhee Hwang

  HR Manager

  Jinhee is in charge of HR in solidware. She loves people, she aims for work to enhance the happiness of people and their life. When members of SolidWare are truly happy, she feels most rewarding. She is mainly responsible for the wonderful task of continously researching, planning, and executing Solidware's core mission of "Good Things with Pleasure," making it a true reality. She majored in pedagogy at the university, and since then she's been in HR for about 8 years in IT companies, and she has gained a lot of understanding and experience.
• 

  Jaehyun Ko

  Global Biz Project Manager
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  Jaehyun Ko

  Global Biz Project Manager

  Jaehyun is in charge of global marketing (China Biz) and solution education management. He graduated from Tsinghua University in Beijing, China, so he will develop his career focusing on Chinese market.
• 

  Sookyung Bae

  AI Business Planning Manager
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  Sookyung Bae

  AI Business Planning Manager

  Sookyung is in charge of Japan business development and project management. He majored in broadcast technology in Korea and digital information media in Japan. He worked as a lecturer at JR Kyushu Japan Railway Company for two years. After working as a technical sales manager of at a chemical company in Japan, he was involved in the analysis and planning of mobile application at LINE in Japan
• 

  Yury Tsoy, Ph.D

  Chief Machine Learning Scientist
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  Yury Tsoy, Ph.D

  Chief Machine Learning Scientist

  At Solidware Yury Tsoy is responsible for development and efficient software implementation of the machine learning algorithms and related systems. Yury received his PhD in Computer Science at the Tomsk Polytechnic University specializing in development of evolutionary algorithm for training of artificial neural networks with application in processing of digital images. After defence of the doctoral degree Yury worked as an assistant professor in the Tomsk Polytechnic University conducting research of adaptive learning algorithms, discovering and exploring novel data analysis techniques. Before joining Solidware Yury was leading development of the methods and software for processing of biological images and data at the Institut Pasteur Korea. He has a broad experience in programming by implementing various machine learning and image processing algorithms and development of software tools to solve real-world problems.
• 

  Jonas Pichat, Ph.D

  Machine Learning Scientist
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  Jonas Pichat, Ph.D

  Machine Learning Scientist

  Jonas is responsible for research and development of machine learning solutions at Solidware. He received his PhD in medical image analysis from University College London, where he focused on image registration of histology and MRI. Prior to that, he studied machine learning and image processing at Postech, as part of his French engineer’s degree in Telecommunications. He was also an intern at Newcastle University in the Institute of Neuroscience, working on gamut mapping colour constancy algorithms, and at Institut Pasteur Korea in the Image Mining Group, working on microarray image analysis and multivariate phenotypic profiling.
• 

  Christian Lundgren

  Senior Data Engineer
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  Christian Lundgren

  Senior Data Engineer

  Christian is Solidware’s Data Engineer, leading the internal ETL pipeline development and supporting the data scientists to process the incoming data, as well as leading the back-end development of Solidware’s machine learning engine. He specializes in building and operating large scale, distributed, cloud based solutions for high volume traffic. He received his M.S. in Computer Science and Engineering with the focus on machine learning at Computer Vision and Active Perception Lab for Autonomous Systems at KTH, Royal Institute of Technology, the top university in Sweden. He also studied machine learning and image processing at KAIST as an international exchange student. After graduating KTH, he worked at Wooga as the Backend Engineer and Game Analytics as Lead Software Engineer.
• 

  Eunseop Jung

  Machine Learning Scientist
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  Eunseop Jung

  Machine Learning Scientist

  Eunseop is responsible for developing and optimizing algorithms and solution at Solidware. He graduated from Han Dong Univ. with B.S. in Computer Science. After graduation, he attended Fast Campus, a software engineer accelerator, to participate in the Data Science School and obtained practical experience in Machine Learning.
• 

  Jihoon Kim

  Machine Learning Scientist
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  Jihoon Kim

  Machine Learning Scientist

  Jihoon is a machine learning scientist at Solidware, responsible for developing and optimizing machine learning algorithm. He graduated from Hanyang University with B.S. in electronic engineering and also studied machine learning at Drexel University as an undergraduate research student during exchange student. After graduation, he worked at Hanwha General Insurance as a commercial lines underwriter. He became convinced of the possibility of machine learning in the financial industry through the experience.
• 

  Yonghwan Cho

  Machine Learning Scientist
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  Yonghwan Cho

  Machine Learning Scientist

  Yonghwan is a machine learning scientist at Solidware, responsible for data analysis and optimizing machine learning algorithm. He graduated from Korea University with B.S. in Management Information System. After joining the Solidware team, He successfully carried out several projects of financial institutions.
• 

  Sangyo Kim

  Machine Learning Scientist
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  Sangyo Kim

  Machine Learning Scientist

  Sangyo is focusing on research about machine learning algorithms and tried to drive meaningful insights via big data analytics with Solidware's Data Scientists. She felt and realized the personalized financial paradigm shift by leading a chatbot project, defining core functions and designing UXUI of a chatbot. Based on successful experience in leading project, she has a keen interest in combining non-structured data and structured data. She graduated mathematics in McGill University, Canada and studied Finance MBA at Korea University.
• 

  Julie Kwon

  Machine Learning Scientist
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  Julie Kwon

  Machine Learning Scientist

  Julie is responsible for developing of Solidware’s machine learning solution. She graduated from University with BS in computer science and since then she worked in Java projects for 3 years. She attended a class about Big Data and Machine Learning. And then She join Solidware.
• 

  Alan Lee

  Machine Learning Scientist
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  Alan Lee

  Machine Learning Scientist

  Alan is a machine learning scientist at solidware, responsible for developing and optimizing algorithm and solution. He graduated with B.S. in computer science and interested in effective problem-solving and application of machine learning.
• 

  John Choi

  Machine Learning Scientist
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  John Choi

  Machine Learning Scientist

  John is a machine learning scientist at Solidware, responsible for developing and optimizing machine learning algorithms. He graduated from Harvey Mudd College with a B.S. in mathematics with a focus on discrete mathematics. After graduating, he performed as a drummer in several bands in Seoul's local music scene.
• 

  Hoyeong Heo

  Software Engineer
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  Hoyeong Heo

  Software Engineer

  Hoyeong is a full-stack developer at Solidware, and is responsible for developing the DAVinCI LABS solution. He graduated from Yonsei University with BS in computer science and industrial systems engineering. Prior to joining Solidware, he worked in various Java projects both as a front-end developer and back-end web developer at SK Telecom’s Happy ICT and Alticast.
• 

  Jongseo Lee

  Software Engineer
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  Jongseo Lee

  Software Engineer

  He graduated from Soongsil University with BS in Business Administration. Prior to joining Solidaware, he developed and operated CRM system in Samyang Data Systems and developed various football data web projects in Visual Sports.
• 

  Taerim Kwak

  Software Engineer
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  Taerim Kwak

  Software Engineer

  Taerim is a full-stack developer at Solidware. He prefers Clean Code, Functional Programming, and Type Level Programming. He prefers programming in Scala, Rust, and Typescript. Before coming to Solidware, he worked at MeshKorea, iRobo, and other companies.
• 

  Jan Feuerbach

  Software Engineer
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  Jan Feuerbach

  Software Engineer

  Jan is a full-stack engineer at Solidware, responsible for developing the DAVinCI LABS solution. He graduated from University of Duisburg-Essen with M.S. in applied cognitive and media science and also studied computer engineering as an exchange student at Chungnam National University for one semester. During his studies, he already worked at Cumulocity GmbH as a frontend developer. After graduating, he continued researching interactive recommendation systems at his university and worked as a full-stack engineer at Millenuum Inc. before joining Solidware.
• 

  Sarah Kim

  Software Engineer
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  Sarah Kim

  Software Engineer

  Sarah graduated the Duksung Women's University, with Digital Media department. She is interested in social values, and became web developer because the web is the universal means for delivering values to people. She joins in Solidware SE team because she agrees with the Solidware's vision that makes people access easier to big data and machine learning.
• 

  Kisung Song

  Chief Designer / CDO
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  Kisung Song

  Chief Designer / CDO

  Kisung is the chief designer at Solidware, working on solution GUI/UX design among various tasks. He has over 20 years of experience in CG design,3D illustration,GUI design,Visual Art,Product design and more. He worked as a chief designer at DIVICO, PENTABREED and worked as CEO at DM(design company). Prior to joining Solidware. His achievements include wining accolades at 4 different major competitions and being featured at 18 exhibitions. His works have been exhibited at various sites (including gekodesign.com, behance.net and more). He is also a pro member of the dribbble.com (online gallery of the world professional designers).

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