List of Clearsense 20/20 Customers
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Since 2010, our global team of researchers has been studying Clearsense 20/20 customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Clearsense 20/20 for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Clearsense 20/20 for ML and Data Science Platforms include: Trinity Health, a United States based Healthcare organisation with 127000 employees and revenues of $23.90 billion, Summa Health, a United States based Healthcare organisation with 8000 employees and revenues of $2.70 billion, Meharry Medical College, a United States based Education organisation with 1292 employees and revenues of $239.0 million and many others.
Contact us if you need a completed and verified list of companies using Clearsense 20/20, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Meharry Medical College | Education | 1292 | $239M | United States | Clearsense | Clearsense 20/20 | ML and Data Science Platforms | 2016 | n/a |
In 2016 Meharry Medical College engaged Clearsense to provision a data ecosystem using Clearsense 20/20, an ML and Data Science Platforms solution to support research and clinical analytics in the United States. The engagement was positioned to accelerate research and improve clinical outcomes through a consolidated analytics foundation for institutionally held clinical and research data.
The implementation of Clearsense 20/20 established core data platform capabilities typical of ML and Data Science Platforms, including ingestion and harmonization of heterogeneous healthcare datasets, feature engineering and model development pipelines, and analytics instrumentation for cohort discovery and outcome monitoring. The platform was used to develop predictive models, with case materials referencing renal-failure prediction as an applied example of model development and deployment.
Operationally the Clearsense environment was scoped to support research and clinical functions across Meharry Medical College in the United States, providing a single analytics foundation for investigators and clinical teams. The architecture emphasized a unified data layer and model lifecycle workflows to enable collaboration between researchers and clinicians while keeping processing and model artifacts within the institutional data ecosystem.
Governance and workflow changes accompanied the rollout, centering on standardized data curation, model governance, and analytics delivery processes to ensure research reproducibility and clinical applicability. Clearsense 20/20 served as the institutional ML and Data Science Platforms capability that underpinned analytics-driven research and clinical decision support initiatives at Meharry Medical College.
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Summa Health | Healthcare | 8000 | $2.7B | United States | Clearsense | Clearsense 20/20 | ML and Data Science Platforms | 2025 | n/a |
In 2025, Summa Health deployed Clearsense 20/20 as the ML and Data Science Platforms component within a broader 1Clearsense implementation. The deployment targeted creation of a longitudinal EHR and the unification of clinical and operational data to improve clinical decision-making and operational efficiency across its U.S. operations.
Clearsense 20/20 was configured to serve as the data science and machine learning layer, providing capabilities for data ingestion and normalization, feature engineering, model development, and operational scoring. The implementation emphasized longitudinal patient record construction and standardized clinical datasets to support cohort analysis and predictive analytics, with Clearsense 20/20 delivering the analytics workflows and model lifecycle capabilities expected of ML and Data Science Platforms.
The program centralized clinical and operational data feeds into the 1Clearsense environment, integrating EHR event streams and downstream operational datasets into a unified analytics repository. Operational scope covered clinical and operational functions within the United States, consolidating disparate source systems to enable consistent data models and analytical access for care and operations teams.
Governance activities aligned with the technical rollout, instituting data governance controls, model validation and monitoring practices, and processes to embed analytical outputs into clinical decision workflows and operational dashboards. Summa Health Clearsense 20/20 ML and Data Science Platforms integration focused on enabling applied analytics for clinicians and operational leaders rather than standalone R&D, with configuration and governance designed to support repeatable model deployment and clinical adoption.
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Trinity Health | Healthcare | 127000 | $23.9B | United States | Clearsense | Clearsense 20/20 | ML and Data Science Platforms | 2022 | n/a |
In 2022, Trinity Health implemented Clearsense 20/20 as part of a multi-year application rationalization and active archiving initiative. The engagement focused on centralized data enablement, active archiving, and systematic decommissioning to support retirement of hundreds of older applications across IT, finance, and operations in the United States.
Clearsense 20/20 was deployed as an enterprise data platform providing consolidated indexing, governed data catalogs, and archival pipelines to make historical clinical and operational records discoverable for downstream analytics. Clearsense 20/20, operating within the ML and Data Science Platforms category, was inferred to support model orchestration and typical ML workflows such as anomaly detection and predictive analytics to extract value from archived datasets.
The implementation centralized archived data access across IT, finance, and operational teams, with documented processes in KLAS and Gartner case materials describing archiving and decommissioning practices and data enablement. The case materials do not enumerate specific third party integrations, the deployment emphasis is on data consolidation and enablement for analytics consumers across the enterprise.
Governance for the program included formal decommissioning workflows, retention policy enforcement, and indexed access controls to align archival operations with compliance and organizational workflows. According to the source case study, the Clearsense engagement delivered large-scale IT cost savings across IT, finance, and operations as part of the broader rationalization and archiving effort.
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Buyer Intent: Companies Evaluating Clearsense 20/20
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