Train Intelligent
AI Models
Synthesize quality training data for your next fair, private, and robust model, using state-of-the-art generative artificial intelligence
Create quality training data with state-of-the-art technology
Synthesize quality training data for your next fair, private, and robust model, using state-of-the-art generative artificial intelligence
Create quality training data with state-of-the-art technology
# Using a Python request:
requests.post("api.syntheta.org/synthesize", data=df)(Assuming `df` is an instance of the pandas DataFrame class)
All you have to do is make a call to our API endpoint with your data structure.
Our generative models will then train and synthesize new, high-quality tabular data that mirrors the statistical properties of your input, ready for use.
Made by developers, for developers.
Synthetic data can be used to give models a better understanding of commonly under-represented groups or minorities which allows both critical and safety-critical systems using machine or deep learning to exhibit minimal bias.
Synthetic data guarantees privacy by alleviating the issue of training models on Personally Identifiable Information (PII); which puts client data at risk as it can be used to identify an individual, either directly or indirectly.
The machine learning models of tomorrow should be robust and explainable with reasoning being a key for their decision making, with the use of synthetic data, humans can augment datasets and better train and test models' intelligence.