Award-winning, Scalable Options for any NLP Need

Melax Technologies’ Natural Language Processing products are built on an award-winning platform that provides interoperability, scalability and affordability. The CLAMP (Clinical Language Annotation Modeling and Processing) toolkit is the backbone of our product line. Melax has options for every need. Users can define their data analytics solution, use a hybrid application or out-of-the-box answers.



Development and Deployment:

For NLP Development and Deployment:

Hybrid Pipeline - CLAMP
Hybrid Pipeline - CLAMP GUI

Overcome Data Hurdles

The CLAMP system provides high-performance NLP modules and pipelines customized for clinical text. Its user-friendly interfaces quickly build customized NLP pipelines. CLAMP provides multiple useful features:
  • Annotate local data and re-train machine learning models with a few clicks
  • Specify rules on the top of ML models to improve performance
  • Export NLP pipelines as web services for easy integration
  • Provide Java APIs for individual components for system integration
 ● Literature Annotation - LANN
Annotation - LANN

Go for the Gold Standard

Designed for efficient, high quality text annotation to support information extraction tasks, including named entity recognition, relation extraction and concept normalization. Lann is a turn-key team-focused application to develop and implement your gold standard for annotation.

  • Time saving dictionary and deep learning uploads; annotation schema definitions
  • Structure and index annotation guidelines to your standards
  • Multiple format and database support - Prodigy, MAE, brat; text or pdf files; database and file extraction
  • Quality assurance
  • Team annotation review and agreement check; discrepancy resolution built on your gold standard


EHR Chart Review - VITAL
Literature Systematic Review

When Access to Clinical Information is VITAL

Leverage state-of-the-art information retrieval and extraction technologies with VITAL. Powerful yet user-friendly, VITAL can quickly search millions of clinical documents in EHRs to efficiently identify cohorts of patients of interest, as well as specific phenotypes for each patient in a cohort.

Use cases of VITAL include healthcare quality reporting, disease registry curation, and clinical and translational research. VITAL dramatically improves efficiency of manual chart review in both operational and research tasks.

  • Schedule processing tasks
  • Allocate computational resources for each task
  • Search and visualize output of NLP outputs
  • Support Common Data Models (CDM) such as OMOP CDM
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