Power your business with Auto ML and Gen AI

Redefine possibilities with Datanugget: Where machine learning meets automation, intelligence becomes limitless.

Integrate Gen AI Experience: AutoML and GenAI enable faster model iteration and rapid data exploration with minimal manual effort.

Engineer Features

Transform raw data into predictive gold through strategic feature engineering, unlocking the true potential of your machine learning models.

Build Models

Effortlessly construct robust predictive models with AutoML, streamlining from data to deployment for unparalleled efficiency and accuracy.

Deploy Apps

Embed machine learning seamlessly into your applications, turning data into actionable insights with intelligence at the core of user experiences.

Data Science Simplified

Democratizing Data Science with AutoML

Bridging the gap between expertise and accessibility, it’s the key to unlocking insights from data without the complexity.
1 x
Speed of Deployment

Our Vision

At datanugget.ai, our vision for AutoML transcends traditional boundaries, envisioning a future where machine learning is effortlessly harnessed by all. We strive to empower organizations with cutting-edge AutoML solutions to unlock the true potential of data-driven innovation.

Our Mission

To democratize the power of machine learning through AutoML, making advanced analytics accessible to every corner of your organization. We are dedicated to simplifying the data science journey, empowering users to extract meaningful insights and drive informed decisions effortlessly.

AutoML in action

Datanugget streamlines the machine learning process by automating key tasks. It begins with such as feature engineering and handling model training. Next, Datanugget lets you explore a range of models, intelligently selecting and tuning them to find the best-performing configuration.

How it works

Data Processing

Start by handling tasks like feature engineering, normalization, and ensuring that the dataset is optimized for modeling.

Step 1

Model Selection & Configuration

Explore a variety of machine learning algorithms, selecting the most appropriate ones for the given task.

Step 2

Launch Models for Usage

Seamlessly transition the trained machine learning model into a production environment.

Step 3

Join the Waitlist

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