Transforming raw data into enterprise intelligence at scale represents a multi-stage challenge. Raw data needs to be carefully selected for relevant attributes and accuracy and then processed from messy and unstructured into densely annotated, carefully categorized nuggets, contextualizing every ounce of potential information.
Automated tools help with bulk processing tasks, freeing human analysts to focus on the subtler judgment calls that stand at the heart of our Human-in-the-Loop approach. This process extracts fine details from multimedia data points, capturing granular attributes like the difference between two pictures of the same person with smiling and neutral expressions. Other examples can be detecting sarcasm levels in speech or spotting the difference between an Eames chair and an Ottoman.
Zen3 understands how to navigate this process efficiently and effectively, delivering end-to-end, machine learning-capable data processing services while avoiding classic data infrastructure pain points.
Zen3’S APPROACH TO DATA ENHANCEMENT AT SCALE
Our Human-in-the-Loop services are designed to help identify and collect the right set of data for your project goals, curate data gathered from internal or external sources, and contextualize and analyze it to standards specified by the precise needs of your business.
We provide true end-to-end data support — from collection to translation to contextualization, labelling, and annotation. From there, we can assist in delivering analytical insights or deliver the processed data for use in your own machine learning models.
Zen3 backs these services with ongoing content moderation support to ensure that data uploaded to your website meets all policy requirements and relevance criteria for content like images, comments or advertising.
Supported by the DataZlon Platform
WHAT WE DO
We help you collect relevant, high-quality data from public and private sources, whether through internet aggregation or social media. We enable you to transform the value of old data wasting away in server closets or collect custom data anywhere in the world.
We can support the collection of any data type: video, speech, map, text, and more. The collection process is supported by extensive curation and validation to ensure the relevance and absolute quality of the data.
We also have the background in data infrastructure necessary to set up the right storage systems for your new cutting-edge pipeline.
Our global network of language and cultural specialists are capable of transforming data into whatever form you need. They can support translation, localization, and transliteration tasks with ease.
We can seamlessly transform audio, speech, video, and images containing text into any desired language without losing essential subtlety —even when dealing with obscure local speech patterns.
Contextualization, labeling, and annotating is essential for distilling deeper insight from multimedia data types. From straightforward categorization to subtle observations backed by supplementary research, we ensure that full depth of the dataset is extracted, whether for use in machine learning projects or other in-house analytics initiatives.
Translation and contextualization are just the first steps toward deriving actionable business intelligence. Whether through AI or more traditional analysis tools, we can help understand the relevance, sentiment, intent, and meaning behind your data.
Our data teams are equipped not only to handle one-time data-generation efforts but also to support lasting engagements designed to provide a long-term competitive edge.
For these projects, we employ the above process iteratively and continuously, improving analytical capabilities as machine learning models continue to learn and improve.
THE TANGRAM PLATFORM
Our proprietary Tangram platform distills our experience supporting global-scale human-powered data pipelines into a practical toolkit designed to maximize efficiency every step of the way.
The platform reduces the time taken to collect, organize, contextualize and, derive insight from data. Specifically tailored for video, images, speech or text, smart automation tools —from collection through analysis —dramatically increase the ability of human analysts to support large volumes of data intake.
Tangram is capable of ingesting data from any source—internal, customer submitted, collected online, purchased, or aggregated from social media. It can be integrated with existing IT applications through various channels, providing an automated flow of data in the required format.
THE Zen3 ADVANTAGE
With over 15 Million judgments done for clients in the past 3 years, we’ve maintained a robust quality assurance process that drives analysis accuracy of >95%. Training ensures consistent analytical standards, bringing individual disagreement rate below 5% across projects.
Human-powered data pipelines require committed personnel. We have maintained a 0% attrition rate for HIL middle management over the last 3 years, all while scaling up hiring in support of data pipelines based across the US, Europe, and Asia. Our dedicated talent acquisition teams based in Seattle, Singapore, Hyderabad, and Delhi ensure continued access to premium talent.
Our HIL projects center on proven cost-management practices, with prices 30-50% below leading competitors. An absolute dedication to process-improvements has led to a consistent long-term throughput acceleration across all data annotation efforts. We have even proactively identified new efficiencies for large scale labelling efforts by suggesting workflow improvements to our clients.
With 130+ editorial resources with rich digital and print media experience engaged currently, we have the expertise needed to support even the most complex, media-rich data pipelines. Our subject matter expertise is coupled with deep knowledge of the content management tools needed to administrate these efforts efficiently.
Altogether, our AI/Human-in-the Loop team comprises over 1000 specialists in data collection, annotation, speech, and analysis.
Fluent in many languages and diverse data types, a global team of this size and skillset is simply what it takes to provide the highest quality data for some of the most ambitious data pipelines and machine learning efforts.