In-Platform Audit

Accelerate and enchance annotation audits to identify areas of quality and operational improvements quickly and easily

Our In-Platform Audit gives you the power to instantly view and audit the results of your annotation jobs, identify problem areas, and understand how contributors are performing. Visualize the source data and results of the job to get a high-level overview, quickly estimating your results, or go in-depth and provide a thorough audit of each row.

With In-Platform Audit, you can gain understanding into how the aggregate annotations impacted results and can apply best practices and lessons learned to this and future data annotation jobs.

Customers can audit their data allowing them to improve quality if needed before they train their model.

Improve the Data to Improve the Model

Take a data centric approach to your AI development, by doing a thorough audit of your annotated data. The higher the data quality, the higher the resultant model accuracy.

Know Your Data
Before You Train the Model

Using In-Platform Audit, you gain model transparency and insights into what data you are feeding your model. Knowing the quality of your training data before it goes into your model, allows you the opportunity to improve it before training commences.

Stop Bias Before It Starts

Being able to see shape of your data before you train gives you the opportunity to improve representation in your training data, so your models can be fair and unbiased.

Improve Efficiency

No need to use spreadsheets or other tools for auditing anymore. Visualize the data and the results and quickly audit results of your jobs within the same tool. Take it one step further and launch jobs or adapt instructions to increase data quality with the help of the In-Platform Audit findings.

Trust

State-Of-The Art Data Privacy and Security

On-site secure data annotation and collection capabilities in Europe, US and Asia
Global work-from-home secure workspaces and single sign-on capabilities
Data privacy and security compliant, holding all major accreditations and certifications

Quality

High-Quality Results Delivered Consistently

Track record of delivering high-quality results at large scale for long-standing customers
Proven methodology and expertise to measure and delivery quality results
Reduced bias in results thanks to our globally representative workforce of over 1M in 170+ countries
Built-in features that monitor and improve quality during and after annotations

Usability

Easy to use Data for AI Lifecycle Platform

Variety of delivery models, ranging from self-service on our platform to fully outsourced
Intuitive Graphical User Interface with annotation job templates and 24/7 support
Powerful API integrations to connect into your existing MLOps infrastructure

Scale

Proven Ability to Scale Large Data Batches Across All Use Cases

Over 25 years of working with world’s largest and most innovative AI companies
Broad and deep data modality support
Over 1M crowd workers provide unmatched workforce diversity and scalability

Speed

High-Quality Training Data Accessible at Greater Speed

Pre-labeling powered by machine learning models to increase data annotation speed
Workflows to automate complex multistep tasks and sequential jobs

Secure Data Access

Data security requirements are met for customers working with personally identifiable information (PII), protected health information (PHI), and other sophisticated compliance needs.

Enterprise-level security to protect sensitive client data

Secure Crowd

We offer a suite of secure service offerings with flexible options to ensure data security via secure facilities, secure remote workers, and onsite services to meet specific business needs.

Enterprise-level security to protect sensitive client data

Secure Facilities

We have sites in multiple geographies to support projects with Personally Identifiable Information (PII) and other sensitive data, as well as the right people, policies, and processes in place for a range of security levels, up to government level certification.

Enterprise-level security to protect sensitive client data

Secure Workspace

With our ISO 27001 accredited remote Secure Workspace solution, our global crowd can work on your sensitive projects remotely, without having to access a physical secure facility. This allows the diversity of our remote crowd to reduce bias and support multiple languages even through global disruptions.

Enterprise-level security to protect sensitive client data

Latest News and Resources

Blog

The Great AI Adoption Race

In-Platform Audit

Improve the Data to Improve the Model

Know Your Data Before You Train the Model

Stop Bias Before It Starts

Improve Efficiency

Trust

Quality

Usability

Scale

Speed

Secure Data Access

Enterprise-level security to protect sensitive client data

Secure Crowd

Enterprise-level security to protect sensitive client data

Secure Facilities

Enterprise-level security to protect sensitive client data

Secure Workspace

Enterprise-level security to protect sensitive client data

Latest News and Resources

Know Your Data
Before You Train the Model