





NLP Summit
State of the Art Medical Language Models
Putting Medical LLM to Work
Regulatory-Grade Clinical Text De-Identification
Corporate Vision
Free-Software
downloads of open-source libraries and AI models
enterprise customers including healthcare systems, pharma, payers, government, and IT
public case studies of real-world implementations
peer-reviewed papers and patents establishing state-of-the-art accuracy
Purpose built for scalable healthcare tasks such as information extraction, clinical summarization, reasoning, Q&A - #1 on 12 healthcare benchmarks vs. GPT-5.4, Gemini-3.1, and Claude-Opus-4.6.
3,000+ small language models for de-identification, NER, assertion, and relation extraction - fast and deployable on commodity hardware.
No-code platform for human-in-the-loop annotation and validation. Build regulatory-grade AI pipelines without writing a single line of code.
Anonymize free text, FHIR, PDF, and DICOM files with regulatory-grade accuracy. The most accurate clinical de-identification solution available.
Automate patient registries, cohorts, and quality measures from clinical documents - turning unstructured EHR text into structured, queryable data.
Secondary Use Platform that integrates multimodal, longitudinal clinical data into a unified, living OMOP — delivering a complete, structured view of every patient's care pathway.
Enterprise-grade AI governance, compliance, and risk management — ensuring healthcare AI deployments meet regulatory and audit requirements at scale
Martlet AI — HCC Coding AI-powered Hierarchical Condition Category coding that automates risk adjustment workflows with clinical-grade accuracy for health plans and providers.
Trends in Applied NLP in Healthcare: Large Language Models, No-Code, and Responsible AI
Large Language Models in Healthcare: Benchmarks, Applications, and Compliance
Advancing the patient and provider experience with Enterprise AI
Leveraging large language models for temporal relations extraction in oncological electronic health records.
Can Zero-Shot Commercial APIs Deliver Regulatory-Grade Clinical Text DeIdentification?
The Importance of Information Extraction from Unstructured Clinical Data in Pharmacoepidemiology
Reach out to learn how our AI Platform and Spak NLP can improve your accuracy, speed, and scalability