FAQs

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Get in touch with Quality Match’s support team.

What is Quality Match GmbH?

Quality Match GmbH specializes in enhancing data quality for AI and ML models through innovative quality assurance processes. We focus on creating high-quality, reliable datasets using advanced methodologies like nano-task-based quality assurance and statistical analysis.

How does Quality Match ensure high data quality?

We created a unique approach involving nano-tasks, decision trees, and repetitions to ensure comprehensive data quality. This method allows for detailed data analysis, identifying and rectifying errors, edge cases, and taxonomy issues efficiently.

What are nano-tasks, and how do they improve data accuracy?

Nano-tasks break down complex annotation tasks into smaller, more manageable units. This approach reduces cognitive load, increases precision, and enables a highly modular and customizable QA process, enhancing data accuracy significantly.

How does Quality Match comply with GDPR?

We adhere to GDPR regulations by ensuring all data handling, processing, and storage conform to EU privacy laws. We prioritize data subject rights, implement data minimization strategies, and ensure data security and privacy in all our processes.

What data security measures does Quality Match implement?

Quality Match employs robust security measures like data encryption, secure data storage, and controlled access protocols. We conduct regular security audits to protect data against unauthorized access and breaches, maintaining the highest standards of data security.

How does Quality Match handle sensitive or personal data in datasets?

We handle sensitive and personal data with utmost care, applying data anonymization and pseudonymization techniques where necessary. We follow strict confidentiality and privacy protocols to protect individual privacy.

How does Quality Match's HARI X-Plore and HARI X-Ray work?

HARI X-Plore is a data analysis tool allowing detailed data inspection and generating actionable insights. HARI X-Ray is a QA process definition tool enabling the creation of efficient QA pipelines and addressing data ambiguity and correctness.

Can Quality Match's solutions be adapted to various industries?

Yes, our solutions are designed to be dynamic and scalable, suitable for various industries requiring high-quality AI and ML data, including automotive, medical imaging, remote sensing, and more.

What makes Quality Match's approach to dataset bootstrapping unique?

Our dataset bootstrapping approach leverages high-recall foundational models and iterative refinement using nano-tasks. This maximizes initial data utility and minimizes the need for extensive manual annotation, making the process efficient and cost-effective.

How does Quality Match address edge cases and taxonomy problems?

Our tools are equipped to detect and manage edge cases and taxonomy issues effectively, ensuring comprehensive data analysis and dataset organization.

How can I get started with Quality Match?

To begin leveraging Quality Match's solutions, please contact us through our website. Our team will guide you through our services and how they can be tailored to meet your specific needs.

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