Data curation for ambient listening
and conversational summarization
Healthcare’s most accurate and reliable training data services provider.
Auditing ambient applications for
safe, effective and fair patient care
Expert auditing for objective LLM performance validation.
At-scale data collection for
language model creation
Reliable, locally sourced localization of speech samples and matching text.
Xelex provides training data to technology companies for use in improving the accuracy of their artificial intelligence applications.
Get a DemoProjects we do
Abstract Summarization
Manually created, highly accurate summaries from verbatim source content. Summaries capture all topically relevant information in either structured or unstructured formats and templates while excluding irrelevant content.
LLM Accuracy Auditing
Xelex AI’s auditing services help ensure AI-generated clinical notes support safe, effective, and unbiased patient care – and helps identify model errors, detect under-editing by clinicians, and monitor LLM drift.
Hallucination Identification
Xelex AI excels at classifying hallucination types for model correction, including nuanced tasks like identifying partially correct statements, and identifying the source material used in misinterpretations.
Text Classification
Robust tooling. A highly experienced workforce. Both equip Xelex AI to deliver highly accurate and dependable data classification services across a wide range of domains.
Healthcare Model Correction
Xelex AI has curated thousands of hours of exam room conversations and are experts at data curation projects that help improve healthcare large language model accuracy.
Utterance Collection
Xelex AI excels at voicing and collecting high-fidelity audio source material for large language model creation and refinement, including synthetic office note dictation and exam room conversations.
How Xelex AI’s training data services work
Project specs defined & guidelines developed
Team is assigned based on project specs
Tooling configured to meet project requirements
Client data imported and reviewed
Data processed with on-going small batch deliveries
Project evaluated and changes incorporated into next batch
Featured use cases
Training data for summarizing targeted information from recorded audio
Ambient listening
Training data for summarizing targeted information from recorded audio
Speech model refinement
Bespoke audio and matching text creation and hallucination identification
Text classification
Classify, group and label discrete classes of data
Sentiment & intent
Interpret attitudes, emotions, opinions, desires and objectives
Roots in healthcare data management
HIPAA-level data security and compliance
Stringent access controls
Audit trails, user & role-based permissions
Redundant and reliable
Powered by AWS with geographic redundancy
Superior uptimes
Uptimes exceeding 99.9%