Precision in data, perfection in AI
The quality of an AI system performance is closely linked to the quality of the data sets with which it is trained. The CONiX.dpc Solution is all about securing and optimizing this data quality. With in-depth data quality assessment, end-to-end data sets and leading AI technologies, we make AI systems secure, robust and, above all, reliable.
Intelligent data collection for your machine learning model
Use our industry expertise to find the right labelling company for your project. We have benchmarks of all relevant labelling companies and understand their strengths and weaknesses. With this knowledge, we can pinpoint the company that not only aligns with our customer's use cases but also accommodates budget constraints.
Best practice data quality assurance workflow
The best annotated data - across all industries
Make sure your AI is trained with the data deserves - the best.
Gain a competitive edge with high-quality, carefully checked, and precisely annotated data. Our advanced quality control process ensures your algorithms are trained with the most accurate and relevant information, maximizing the accuracy of your models and reducing the need for costly reiterations.
Use only relevant data and accelerate your development cycles.
Accelerate your development cycles with data tailored to your specific needs. Our streamlined annotation processes can shorten your time-to-market. Integrate our data solutions into your pipeline and witness how seamless integration leads to faster turnaround times and enhanced productivity.
Reduce unnecessary expenses by only labeling relevant data.
Cut down your expenses with our customized data annotation services. By paying only for the data you need, you optimize your budget allocation. Utilize our scalable solutions to adjust your costs in line with project scope and avoid unnecessary expenditures on data processing.
Benefit from an independent and transparent assessment of your specifications, data and labels.
We ensure transparency and traceability at every step of the annotation process, with detailed reports and analytics that give you insights into data quality and annotation progress. As an independent authority for quality assessment, we ensure transparency at every point in the supply chain.
Labeling wrong or right, what‘s your standard?