OUR TECH-NOLOGY

Introducing HARI
the First annotation and dataset analytics platform

WE EXPLORE THE ERRORS IN YOUR DATASET

Achieve significant cost and time savings by improving your machine learning models with HARI, a semi-automated user interface for data curation, annotation, and model analysis of vision-based datasets. 

OUR TECHNOLOGY
OUR TECH-NOLOGY

WE EXPLORE THE ERRORS IN YOUR DATASET

We optimize the representativeness and diversity of your datasets, to avoid harmful biases in your end-product. A RAD dataset improves machine learning model performance through quantifiable and actionable quality metrics.

Introducing HARI

Hari
HIGHLY ACTIONABLE REAL-TIME INSIGHTS

HARI manages all aspects of the dataset creation and verification process. The platform allows data scientists and machine learning professionals to gain real-time actionable insights from their vision-based datasets.

A cloud-based architecture simplifies the deployment process and reduces the time it takes to gain insights into the dataset quality from months to days. With HARI the dataset quality can be significantly improved to enhance application reliability and safety while increasing customer satisfaction and overall ROI.

From data upload to quality metrics, HARI is the new industry standard for your annotation workflow.

The HARI Interface

HARI
cloud based Architecture

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Quality Match HARI User Interface

Filter and sort your dataset for real-time insights. Narrow your search result into sub-sets to identify problems and risks in the dataset.

Quality Match HARI User Interface Gallery View

Explore and analyze your dataset in the grid view to get frame specific results.

Quality Match HARI User Interface Annotation Comparison View

In the reference comparison view you can dive deep into the annotation results and discover critical issues on a frame by frame level.

Power Play

Hari
Features

Discover endless possibilities to analyze your datasets. With a web based interface HARI allows you to review, filter, and sort datasets on any desired attribute. You can evaluate single annotation frames as well as compare two annotation sets to find and isolate problem areas.

Features include:
- False Positive Detection
- False Negative Detection
- Edge Case Detection
- Occlusion Information
- Datasets Metrics Comparison
- Consulting Options 
- Transparent Pricing Tiers

More Information

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technology

CONFIDENCE
IN NUMBERS

We annotate repeatedly until statistical significance is reached — providing you with a confidence score on every annotation.

Quality Match confidence score graph based on number of repeats and accuracy percentage

technology

CUSTOM QUALITY

Our Quality Assurance process is transparent, and customized precisely to your product. We detect and correct your most crucial errors.

Annotated image of city street, with errors labeled.

technology

NEW LEVELS
OF SCALE

Our global user base and pipeline design can scale to a level like no other.

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