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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.
The DataNeuron Pipeline
Upload
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Taxonomy
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Validate
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Train
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Predict
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Deploy
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Iterate
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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.
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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.
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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.
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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.

Features that set us apart

Taxonomy Based Masterlist

Advanced Masterlist

Strategic Auto Annotation

Validation : Recognition And Recall

Model Training

Iterate

Our Resources
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How well does the DataNeuron ALP handle the Finance Use Case?
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How well does the DataNeuron ALP handle the Medical Use Case?
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How well does the DataNeuron ALP handle the Tax & Legal Use Case?
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