Computer Vision Developer Tool

NeuroBot
Synthetic Data

for

Self-Driving

Manufacturing

Medical

Robotics

Drones

Military

Self-Driving

NeuroBot

Large Scale
AI-Ready Data Foundry

Simply upload one real image and use annotations as guidance to generate thousands of synthetic images.

Data Synthesis
Data Pruning
Data Trading
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before image1after image1
Usage-Based Pricing

Pay Only for Data That Improves Accuracy

We provide free generation, training, and prediction computing power, with no costs incurred until the images are downloaded to your local machine

Free Generate

Free generation of synthetic data, pay only for the images you are satisfied with.

Free Verify

Free training and testing of synthetic data to validate the effectiveness.

Workflow

Redefining the Workflow for AI-Ready Data

Disrupting the traditional workflow that has historically involved extensive human labor in preparing, collecting, storing, cleaning, annotating, and organizing Real-World Data into AI-Ready Data

Upload images and annotate them to generate synthetic data.
Upload images and annotate them to generate synthetic data.
Train and test synthetic data to validate its effectiveness.
Train and test synthetic data to validate its effectiveness.
One-click fine-tuning of generative AI models to optimize generation results.
One-click fine-tuning of generative AI models to optimize generation results.

Synthetic Data Leveraging
Generative AI

NeuroBot provides customizable and scalable synthetic datasets for training and testing that simulate real-world scenarios, enabling more efficient and unbiased model development.

10x Cost Savings

Synthetic data cuts the costs of data collection and labeling.

10x Efficiency

Synthetic data can be generated quickly, speeding up model training.

Targeting Corner Cases

Synthetic data can be tailored to specific use cases or edge cases.

No Bias

Synthetic data can be created without the biases present in real-world datasets.

No Privacy Issues

Synthetic data avoids privacy concerns by not using real personal data.

No Annotation

Synthetic data can be generated without the need for manual labeling or annotations.
Integration

Integrated with Your Favorite Computer Vision Tools

You can upload pre-annotated data, export data to other training platforms for model training, and choose from popular open-source models for validation.

Labelbox

Augment Labelbox annotations with synthetic data.

Roboflow

Boost Roboflow workflows with synthetic datasets.

Kaggle

Power Kaggle projects with synthetic data.

Pytorch

Enhance PyTorch training with customizable synthetic data.

Amazon

Scale AI training on Amazon with synthetic data.

Nvidia

Accelerate NVIDIA AI workflows using synthetic data.
Blog

Leading Academic Research

The technology roadmap for synthetic data is very diverse, with various neural networks and guiding methods used in different scenarios. There are still many academic directions to explore.