Introducing: xBlox4 min readReading Time: 3 minutes
A.I. For Everyone
A.I. technology has progressed at a rapid pace over the last half decade. As a result, companies now more than ever have been enthusiastic about implementing machine learning in their processes. And while there are a number of generic models available in the market, it is vital that industries recognize that if they are to truly achieve A.I. success, they must understand that generic models often don’t cut it. Every industry has its own niche use cases, after all. Sometimes, businesses within the same industry might have different goals that they want to achieve with their A.I. implementation. And in order to achieve that, businesses need to understand that A.I. models are only as good as the data it’s been trained with.
So how can businesses build models that are customized exactly to their needs?
The vision at Mad Street Den has always been to get everyone – whether you’re a developer, a business analyst or in marketing – to participate in not just consuming A.I., but creating it. And that is what we aim to do with our Blox.ai platform. Today we are one step closer to that vision. We are excited and thrilled to share the launch of the first product from the Blox.ai arsenal – xBlox.
xBlox is an AI-powered data organization tool that helps you break silos and brings your data together, converts raw data into meaningful attributes, and applies the organized data towards solving your business challenges. With xBlox, experience a multi-X speedup in labeling and enriching your data, and building Machine Learning models that can automate data organization at scale, all without needing to write a single line of code. It’s a culmination of years’ worth of experience working with data and the best practices in MLOps packaged into one.
Starting with raw data, xBlox pipelines can ingest practically any data source – images, structured text attributes, numericals and unstructured text. The in-built taxonomy manager can be used to assemble attributes into a hierarchy that brings structure to your data management. The tool enables the user to visually label/classify data points based on their attributes, while the system observes, learns from user interactions and predicts labels for the remaining data points. This ping-process between the human and AI in making predictions and providing feedback, exponentially reduces the number of datapoints hand-labeled by the user, and the time it takes to reach completion.
Our goal is to enable you and your teams to deploy data organization ML models into production in < 24 hours.
- Start from scratch and complete workflows in minutes – xblox is one complete package that includes all the moving parts to go from raw data to organized data
- Usability is at the core of xBlox, enabling everyone to build ML models. Whether you’re a data labeler looking to tag training data, or an ML engineer looking to tune model hyperparameters, xBlox has got you covered.
- Attributes are fully customizable, making it simple and intuitive to incorporate business and use-case specific tweaks to your data organization
- Hundreds of CV and NLP models simultaneously process every data point, extract features and project them on a two-dimensional canvas. The result is a reimagined visualization of your data, that helps you understand data spread and mix like never before, along with the similarities and differences between individual data points.
Immediate Business Value
xBlox abstracts the underlying complexity of your data, so you can deploy models in hours that would have otherwise taken months to put together, and start seeing value in weeks. What’s more, xBlox’s easy to use interface allows teams without any knowledge of code to take part in shaping the models most relevant to their business and use case.
We’re eager to put this self-learning chisel in your hands to help you manage, shape and derive unlimited value from your data – to answer insightful questions specific to your use-case, or act as a launchpad to build personalization and sense-making applications on. The possibilities are endless.