Eliminate Bias in your Ground Truth
Illuminate the black box of machine learning with comprehensive analytics. Uncover biases to determine where datasets need to be augmented for improved model performance.
Visualize raw data and annotations to view distributions and identify bias along many dimensions.
Explore Data from Any Source
View comprehensive metrics as soon as your annotations and data hit the platform, whether they were generated within Innotescus or imported from another source.
Put your Metadata to Work
Take full control of your analysis; visualize data using the custom metadata you define and populate.
Examine your data - point by point - along up to five custom dimensions using Dive. Use this highly flexible tool to expose underlying relationships, redundant data points and more.
Ready to build better data?
We love this stuff.
The industry insights that fuel our desire to create the best-in-class machine learning annotation platform.
How We Placed Second in Andrew Ng’s Data-Centric AI Challenge
Shashank, Chris, and Rob first worked together at ChemImage Corporation, leveraging machine learning with dense hyperspectral imaging datasets to identify chemical
Data Security: How Innotescus Makes Cloud-Based ML Solutions Safe
It’s hard to live in today’s world and not be bombarded by mentions of “the cloud.” From the way we stream music and find directions on a road trip to the way we pay friends for
Digital Literacy and Digital Labor: Exploring the Relationship Between Data-Centric AI and Human-Centric Work
The digital labor market at a glance How much is the digital labor market growing? Digital labor is transforming the way we work. As of last year, the online workforce contained over
September 2021 Release Notes: Metadata+Dive
This past month, we released some of the most exciting tools for Innotescus yet, as well as some other features that only sweeten the deal. Read how new Metadata capabilities
MLOps+Innotescus: How to find AI success where 80% of businesses fail
Machine Learning Operations (MLOps) is rapidly gaining new momentum amongst Data Scientists, ML Engineers and AI enthusiasts. While MLOps is supposed to improve AI
Data-Centric, Human-Powered: Exploring the double-meaning of ‘humans-in-the-loop’
In the last issue of The Batch, DeepLearning.ai founder Andrew Ng opened up about his late grandfather and newly-born child. He briefly described his grandfather’s storied and
Innotescus Named a Top Machine Learning Company in Pennsylvania by futurology
The advancement of machine learning depends on better data, and Innotescus is taking the lead. We are always striving to bring the next INNOvation in data annotation
Release Notes: August 2021
This round of updates includes some small-but-mighty improvements that our team thinks is essential for any annotation platform. Now, Innotescus offers easier
RE2 Robotics Increases ML Model Accuracy from 50% to 90% with Innotescus
What makes a robot move accurately? At RE2 Robotics, it’s a constant stream of unstructured data, as well as the machine learning “brain” that translates it. But annotation workflows