End-to-end platform
Mojo has AI-relevant data labeling and annotation services, that accelerates AI and ML models with accurate, clean, and well-labeled data. Human-in-the-loop data labeling and feedback mechanism enhanced the quality of data fed into their machine learning models.
Allocate, track, modify and update all your jobs and campaigns from one place. Create segments and set rules on how the data is to be structured.
Stay informed with real-time notifications sent right to your dashboard throughout all stages like task status, progress, change request, approval, and completion.
Mojo ensures you have high-quality and auditable data with our skilled labor to normalizing and standardizing large-scale data values.
Track individual performance with agent-wise reports. Employ your creative workforce elsewhere, while Mojo does all the heavy lifting for you.
Automate workflows with the rule-based system in Mojo. Create new workflows, modify existing workflows, and set priorities.
Manage complex and voluminous back-office tasks, predict error trends and identify missing attributes on a granular level.
Step1
Document Upload
Unstructured document is uploaded with relevant rules
Step2
Document Annotation
Data is annotated at the attribute level with the annotation bot
Step3
Document Enrichment
Human-in-the-loop data cleansing and enrichment services
Step4
Quality Check
Data is checked for incomplete and missing values
Step5
Data Delivery
Data is delivered in any format both in the cloud and on-premises
Mojo extracted lease details from multiple international languages and integrated crucial data points into the client’s system.
Mojo enriched and verified the quality of 350K+ company and contact data for B2B commercial data intelligence provider.
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