CAGE

What CAGE does

CAGE is documented in the input data as an academic research framework titled "Context-Adaptive Gated Embedding Framework" — a hierarchical Clinical Decision Support System (CDSS) described in MDPI literature. It is designed to address challenges in processing large-scale clinical time-series data from intensive care units, with a particular emphasis on rare-event detection for intervention prediction. The framework integrates three components: (1) a partial-label Automated ICD Coding module built on DCNv2 (Deformable Convolutional Networks v2) with an Adaptive CLPL (Curriculum Learning with Pseudo Labels) loss, (2) a multi-branch Temporal Convolutional Network featuring an ICD-conditioned gating mechanism, and (3) a hierarchical architecture unifying diagnosis, time-series, and intervention signals. Reported benchmarks include Macro-AUC of 98.2, Macro-AUPRC of 77.4, and F1 of 79.4 on intervention prediction tasks, with the authors claiming outperformance versus existing baselines on rare-event detection.

There is a notable data conflict: firmographic fields describe CAGE as a non-profit organization founded in 2009 in Walchwil, Switzerland, that "maximizes mutual understanding between the investment community and the FMCG, luxury goods, food retail, and food service industries," with 11–50 employees and a website at cag.eu.com. The website content returned only a placeholder/loader page, and no corroborating sources tie the FMCG-oriented non-profit to the clinical AI framework. The two descriptions appear to refer to distinct entities sharing the same name; the technical/AI evidence dominates the source corpus and is treated as primary here, with the firmographic profile flagged as inconsistent.

No commercial business model is supported by the input: pricing is undisclosed, no distribution channels, marketing channels, GTM motion, named customers, funding rounds, partnerships, awards, or management team entries are documented. The available evidence characterizes CAGE as a published research framework rather than a commercially distributed product.

Name

CAGE

Website

https://cag.eu.com

Company type

Private

Founded year

2009

Headcount range

11–50 employees

Short description

CAGE is a published research framework — a hierarchical Clinical Decision Support System that integrates diagnosis, time-series signals, and intervention prediction for intensive-care-unit data, combining DCNv2-based ICD coding with a gated Temporal Convolutional Network.

Ownership category

akta.pro rank

Headquarters

HQ city

Walchwil

HQ country

Switzerland

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Marketing or Sales, Others

Core offering

CAGE is a non-profit industry organization that works to maximize mutual understanding between the investment community and the FMCG, luxury goods, food retail, and food service industries. It operates as a neutral forum/research entity serving both investors and consumer-goods industry participants through industry-research and stakeholder-engagement activities.

Product overview

CAGE is a research framework and hierarchical Clinical Decision Support System (CDSS) designed for advanced clinical decision-making. It consists of a partial-label Automated ICD Coding module using DCNv2 with Adaptive CLPL loss, combined with a multi-branch Temporal Convolutional Network featuring an ICD-conditioned gating mechanism. The framework integrates diagnosis data, time-series signals, and intervention prediction capabilities for processing large-scale clinical data from intensive care units.

Differentiator

Problem solved

Functional benefit

Quantifiable outcome

• Macro-AUC of 98.2 on intervention prediction tasks
• +3 more outcomes

Segments1 record

Ideal customer profiles2 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature3 records

Recent moves1 record

Broad incumbents

• Epic Systems: Dominant EHR vendor embedding decision support, predictive models, and analytics tools used by large hospital systems. Comparable as an incumbent whose clinical decision support capabilities compete with standalone CDSS frameworks.
• Oracle Health (Cerner): Major EHR and clinical decision support vendor (formerly Cerner) serving hospitals with integrated predictive analytics. Comparable as an incumbent with established CDSS offerings and hospital distribution.
• Tempus Labs: Large-scale clinical AI and data platform applying machine learning to clinical records and molecular data. Comparable as a healthcare AI company with overlap in clinical decision support and predictive analytics.
• Optum (UnitedHealth Group): Healthcare analytics and clinical AI arm of UnitedHealth Group offering decision support, risk stratification, and population health tools. Comparable as a large incumbent in healthcare AI/clinical decision support.
• Merative (formerly IBM Watson Health): Healthcare data and analytics vendor offering clinical decision support and AI-driven insights to providers and payers. Comparable as a broad incumbent in clinical AI with decision-support offerings.
• Google Health: Google's healthcare AI division developing clinical models, decision support, and medical record analytics. Comparable as a well-resourced player applying deep learning to clinical time-series and structured medical data.

Direct peers

• Dascena: Machine-learning clinical decision support company focused on early prediction of adverse events and patient deterioration in inpatient settings. Comparable as a clinical AI vendor targeting rare-event detection and intervention prediction.
• Health Catalyst: Healthcare analytics and decision-support platform serving hospitals and health systems with AI-driven clinical and operational insights. Comparable as a clinical analytics/CDSS vendor targeting hospital decision-making.
• Qventus: AI-based clinical decision support focused on hospital operations and inpatient care, including early detection of patient deterioration. Comparable as an AI-first CDSS vendor addressing rare-event detection in clinical settings.

Emerging players

• Clinithink: Clinical NLP and AI company focused on extracting structured insight from unstructured medical records, including ICD coding workflows. Comparable for its focus on automated ICD coding, a core capability within CAGE's architecture.

Market position

Strengths3 records

Weaknesses3 records

Competitive moat3 records

Key risks4 records

Key highlights3 records

Customer concentration

• LinkedInlinkedin.com/company/consumer-analyst-group-of-europe

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

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M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about CAGE