Clinithink – Clinical NLP at scale
CLINITHINK LIMITED · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 6 captures on record
What the publisher says
As described on Microsoft Marketplace.
More than 80% of the world’s healthcare data is buried in unstructured narrative found within Electronic Medical Records (EMRs). Our platform transforms unstructured medical text into actionable insights - enabling the next generation of real-world evidence (RWE), faster clinical trials, and improved rare disease detection.
How we’re different
Show the rest of the publisher’s description (27 more lines)
- Breakthrough speed & scale: Automatically parse millions of clinical notes in hours, not months versus manual chart reviews. Clinithink’s CNLP solution can process over 1 million documents per hour to match your performance needs.
- High-fidelity insights: Context-aware extraction built on 1.5 billion computable SNOMED CT expressions that supports a rich post-coordinated concept hierarchy, while handling misspellings, synonyms, acronyms, family history, and temporality.
- Proven in production: Trusted by top pharmaceutical companies and health systems to optimize clinical research and drive operational efficiencies.
- Regulatory ready: Designed for HIPAA/GDPR compliance and large-scale, secure deployments on Azure.
- No AI expertise required: Eliminate the complexities of building, training, and maintaining NLP models from scratch. Clinithink brings a consultative approach to setup, with a proven solution that lets you focus on delivering actionable insights across your organization.
Core capabilities
Accelerate clinical trials
- Rapid cohort identification: Match patient cohorts to trial criteria in hours. Clinithink processed 270,000 patient records in under 24 hours to find eligible patients for a single trial.
- Protocol complexity management: Automatically flag exclusion/inclusion criteria, saving months in manual chart reviews.Improve population health & real-world evidence
- Context-aware phenotyping: Uncover comorbidities, disease progression, and treatment patterns by mining unstructured EMR text.
- Precision & scale for outcomes research: Published in ASCO (American Society of Clinical Oncology) for early lung cancer identification.
- Rare disease diagnosis: CLiX enabled the current Guinness World Record by helping diagnose a newborn’s genetic condition in 19 hours from data ingestion to final diagnosis.Robust security & compliance
- HIPAA-ready: Results can be returned as aggregations, providing an anonymized summary of the data without revealing PHI. Built-in encryption for data at-rest and in-transit safeguards Protected Health Information (PHI).
- Azure-native deployment: Easily spin up via Azure Virtual Machines and integrate with Azure Fabric or Databricks.
Who benefits
- Pharma & CROs (R&D, Medical Affairs, Principal Investigators): Expedite trials, pinpoint patient cohorts, and generate real-world evidence faster.
- Providers & IDNs (CMIOs, CIOs, Clinical Research Leaders): Automate chart reviews, reduce administrative burden, and identify high-risk patients earlier.
- Healthcare SIs & ISVs: Deliver innovative solutions by embedding Clinithink’s proven AI technologies, provide advanced data analytics solutions and build new recurring revenue streams.
Why Clinithink
Industry leadership
- Global customer footprint: NHS Trusts, Northwell Health, AstraZeneca, Alexion, and more.Advanced AI & NLP
- Context-aware extraction: Understand synonyms, abbreviations, spelling errors, negations, temporality, and real-world physician notes.
- Massive vocabulary coverage: Grounded in 1.5 billion computable SNOMED CT expressions plus expansions with RxNorm and custom terminology concepts.Rapid ROI & impact
- Boost trial recruitment: Real-world usage shows months shaved off enrollment times.
- Enhance operational savings: One major health system saw significant staff time savings when automating chart reviews.Built for Azure
- Scalable architecture: Scale up or out on Azure VMs to feed big data environments (Databricks, Fabric, Synapse).
- Comprehensive support: Access Clinithink’s professional services and AI experts for seamless onboarding.
Preview
1 imageAgent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
6 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

