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An advanced platform for complex data annotations, model training, prediction & lifecycle management.
Presenting DataNeuron
We help you accelerate and automate human-in-loop labeling for developing AI solutions. Powered by a data-centric platform, we automate data labeling, the creation of models, and provide end-to-end lifecycle management of ML.
DataNeuron can handle complex domain-specific datasets without any pre-training, allowing for faster development of data-centric AI while reducing SME or HITL effort significantly.
DataNeuron can handle complex domain-specific datasets without any pre-training, allowing for faster development of data-centric AI while reducing SME or HITL effort significantly.
The DataNeuron Pipeline
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Taxonomy
Validate
Train
Predict
Deploy
Iterate
Features that set us apart
Taxonomy Based Masterlist
Advanced Masterlist
Strategic Auto Annotation
Validation : Recognition And Recall
Model Training
Iterate
Industry problems that we strive to solve
Based on our customer discovery research, almost 85% of NLP projects do not progress beyond the MVP primarily due to the quality and quantity of labeled data.
Expertise
In almost all industries, it is difficult to find qualified domain experts to annotate data; however, existing data labeling companies can handle scenarios that do not require deep domain expertise for annotations.
For complex domain specific datasets, companies have to rely on internal SMEs for data labeling.
For complex domain specific datasets, companies have to rely on internal SMEs for data labeling.
Accuracy & Bias
In almost all industries, it is difficult to find qualified domain experts to annotate data; however, existing data labeling companies can handle scenarios that do not require deep domain expertise for annotations.
For complex domain specific datasets, companies have to rely on internal SMEs for data labeling.
For complex domain specific datasets, companies have to rely on internal SMEs for data labeling.
Data Privacy
Manual Data labeling introduces data privacy concerns, which amplifies with the use of third party annotators.
DataNeuron minimizes data privacy risk by limiting the human exposure of data to third parties.
DataNeuron minimizes data privacy risk by limiting the human exposure of data to third parties.
Our Resources
Comparison of NLP Data Sampling Strategies
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DataNeuron’s Active Learning to NLP data labeling...
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How does DataNeuron compare to the rest?
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