Back to Top
Up Arrow

Power your Data for


Traditional ML

Labeled Data


Platform for complex data annotations, model creation & customizations, fine-tuning and AI lifecycle management.

Try DataNeuron
Learn More
Presenting DataNeuron

DataNeuron is revolutionizing the conventional Supervised NLP Workflows through an automation based SaaS product.

Automate Text Data Labeling, Advanced Model Training, LLM Fine-Tuning, and NLP Model Lifecycle Management using a powerful data-centric platform. With DataNeuron decrease time, increase accuracy while also saving money.

Beyond this, DataNeuron reduces the complexities for Data Scientists by integrating Data & NLP components into a single project.

Features that set us apart

LLM Fine-Tuning Workflow

Divisive Sampling and Ensemble Active Learning (DSEAL)

DataNeuron vs Pre-Trained LLM for Data Labeling

DataNeuron vs Human-In-The-Loop

HITL ROI Calculator

Why DataNeuron
Streamline Data and Model Lifecycle with Automation
Annotation as accurate as pre-trained LLMs or HITL
DataNeuron augments human expertise through various approaches like recognize vs recall with the proprietary ensemble models (unsupervised, semi-supervised and supervised) to achieve comparable/ better accuracies to HITL and pre-trained LLMs.

DataNeuron DSEAL: Strategic Annotation
DSEAL is a proprietary algorithm developed by DataNeuron scientists to achieve state-of-the-art accuracy with the smallest data sample size possible while utilizing the full potential of active-learning methods. DSEAL integrates seamlessly with Traditional ML models and LLMs.

Automated Model Training / Fine-Tuning & Deployment
Once the Data Labeling is complete using DataNeuron automate the model training/ fine-tuning pipeline with a no-code workflow. Platform also provides ready-to-use API for prediction and integration with AI products. It further captures the feedback for model improvements / versioning.

Our Resources
How does DataNeuron compare to the rest?

Read Moreleft_arrow_icon
DataNeuron’s Active Learning to NLP data labeling outperforms the competitors’ Sequential Learning approach by 20% with 50% less data

Read Moreleft_arrow_icon
Comparison of NLP Data Sampling Strategies

Read Moreleft_arrow_icon
View All