Way to build Trustworthy AI
The reliability of AI model performance starts with quality verification of AI training data.
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AI Model Verification and AI Data Quality Verification Service
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Have a professional AI model development team with industry-leading experience -
Experience in building various large-scale data using own platform -
Data quality verification tool with accumulated data verification know-how -
Customized collaboration with customers who need AI model and data validation -
Efficient AI model and AI data quality verification service
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Possesses experience in verifying a number of artificial intelligence models through AI voucher support project
AI model quality improvement by systematic verification
- Metric
Adequacy - Data
Quality - Model
Optimization
를 통한 체계적인 검증 진행으로 솔루션 품질을 향상했습니다.
- Metric
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Multiple data quality verification experience through self- and third-party data verification
AI model reliability improvement by AI training data quality verification
- Data
Suitability - Data
Accuracy - Data
Validity
에 기반하여 품질 검증하고 이를 통해 모델 신뢰성을 향상시켰습니다.
- Data
Verification Process
Based on a four-step systematic verification process, AI model's performance is checked according to the purpose of model development, and the final test result is provided by evaluating the model according to the presented performance criteria.
We support the construction of high-quality AI dataset for customers based on the end-to-end verification process, starting with building the customer’s dataset, writing and reviewing the data verification guide together, to final dataset modification and supplement through sampling data verification.
Quality Verification Key Cases
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Participated in NIA ‘Eye Movement AI Data Project’ in 2021
Dataset building and quality verification according to ‘The AI Data Quality Verification Guide’
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SK networks
Dataset building and quality verification on car warning light training data