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iMerit launches Medical AI webinar series. Click here.

iMerit unveils White Paper on the challenges of Medical AI Data Annotation. Read here.

Working with large-scale datasets?

iMerit provides high-volume data labeling and enrichment services using its in-house advanced workforce of 3,000 full-time data technicians located domestically and abroad. iMerit specializes in labeling image, video, audio, and text data and has delivered over 250 million data points, to date.

In short, iMerit structures u-n-s-t-r-u-c-t-u-r-e-d data.

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How iMerit is different

The world’s leading companies leverage Merit’s advanced workforce and multi-variant tooling capabilities to develop and deploy Artificial Intelligence technology accurately, securely, and with operational efficiency.

Data Security

SOC 2, ISO/IEC 27001 compliant facilities and teams, with resources located domestically and abroad. Currently handling FOUO, HIPAA, ITAR, PII, and PHI data

Expertise

Dedicated Learning & Development, Project Management, and QA/QC teams, ensure scalable accuracy and throughput

Price

Competitive hourly pricing for full-time resources or transactional per-record-pricing

Flexibility

Tool and platform agnostic and experienced with an extremely wide range of highly nuanced use cases

How it works

Expert Machine Learning Consultation With IMerit

Data
sharing

Clients send data and requirements to iMerit’s expert team

Custom Skilling For Data Labeling For Machine Learning

Expert
consultation

iMerit’s team defines engagement and roadmap process

Workflow Customization For Machine Learning

Data annotation on multi-variant tooling

Proprietary tools, client tools, or third-party tools

Feedback Cycle For Machine Learning

Dataset
completed

iMerit returns enriched datasets in required format

Quality Control For Machine Learning

Machine Learning deployment

Clients receive highly accurate datasets to train models

Contact iMerit today to learn how it helps clients deploy
Machine Learning & Artificial Intelligence applications accurately,
securely and with operational efficiency.

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