01
Clear market need
Healthcare and life-science organizations need better ways to interpret complex physiological and clinical data streams.
Digital health • Biomedical analytics • Cloud platform
Transform biomedical data into clear clinical insight.
CleverLife develops software, algorithms and cloud services for digital health. The platform integrates physiological, biomedical and clinical data to support remote monitoring, clinical trials, digital pharmacology and computational epidemiology.
Full-data analysis
Preserves signal richness and reduces information loss caused by overly aggressive feature reduction.
Clinical relevance
Designed for trial support, treatment-response monitoring and risk assessment workflows.
Research-driven foundation
Combines scientific expertise in pharmacy, bioinformatics, AI and software engineering.
Investors
A platform company with technical depth and scalable applications.
CleverLife addresses a clear need in life sciences: integrating heterogeneous biomedical data and turning them into useful, operational intelligence. The company combines recurring software revenue with scientific services, integration projects and premium analytical modules.
02
Defensible differentiation
The core value is not a generic dashboard. It is the analytical method, the state-comparison logic and the biomedical expertise behind the platform.
03
Multiple revenue paths
SaaS subscriptions, premium modules, integration services, trial support and partner-led deployments.
04
Expansion logic
The same technology base can support remote monitoring, digital pharmacology, trial analytics and epidemiological intelligence.
Partners
Built for collaboration, validation and deployment.
CleverLife is designed to work with hospitals, CROs, research centres, digital health providers and industrial partners that need stronger biomedical data workflows and a reliable path from research to application.
What partners gain
- Interoperable ingestion of physiological, clinical and contextual data.
- Custom workflows for telemonitoring, cohort follow-up and observational studies.
- A scientific team able to translate research hypotheses into usable platform modules.
- Support for compliance, data governance and scalable deployment logic.
How collaboration starts
- Pilot project on a defined cohort or biomedical use case.
- Co-development of a dedicated analytical workflow.
- Validation study with clinical or industrial data.
- Integration of CleverLife modules into an existing digital health environment.
Pharma & CRO
Designed for clinical trial support and digital pharmacology.
CleverLife helps organizations extract more value from study-generated and real-world biomedical data. The platform supports high-resolution monitoring, treatment-response analysis and clinically meaningful interpretation.
Data acquisition and integration
Software modules and connectors collect signals such as ECG and vital signs, together with clinical and contextual data from wearables, smartphones and medical information systems.
Risk and response analytics
Proprietary full-data analysis and semantic comparison methods evaluate distance from baseline, pathological and post-treatment states in near real time.
Decision support workflows
Dashboards, configurable alerts and analytical views help clinicians and researchers monitor cohorts and interpret early signals of efficacy, tolerability or risk.
University
Grounded in research excellence and technology transfer.
The project originates from the University of Salerno and combines expertise in pharmaceutical sciences, biomedical data analysis, bioinformatics, AI engineering and software development. This creates a strong base for training, joint research and translational impact.
Academic value
- Supports theses, internships and applied research activities.
- Creates a bridge between university knowledge and market-facing digital health tools.
- Promotes interdisciplinary work across pharmacy, life sciences and computational methods.
Scientific backbone
- Biomedical signal analysis and translational workflows.
- AI and machine learning for digital pharmacology and risk stratification.
- Cloud-based software infrastructure for secure health-data operations.
Platform modules
One architecture, multiple biomedical workflows.
The product strategy is modular. Each component can operate independently or as part of a complete environment for remote monitoring, trial analytics and biomedical decision support.
Data ingestion
Collection and normalization of physiological, clinical and environmental data from distributed sources.
Signal analytics
Full-data processing and comparison of current states with reference states.
Clinical dashboards
Interfaces for clinicians and researchers with alerts, trends and cohort-level views.
Risk intelligence
Stratification workflows for clinical, pharmacological and epidemiological scenarios.
Team
An interdisciplinary team with biomedical and computational depth.
The team combines scientific, analytical and software capabilities. This is essential for building digital health tools that are clinically meaningful, technically robust and deployable in real operational contexts.
Miriam Di Martino
CEOGiulia Pagliari
Vice PresidentTaienne Roeseler
Scientific leadEugenio Sottile
CTOStefano Piotto
Scientific founderOperating model
Research to deploymentLet’s discuss a pilot, a partnership, or an investment conversation.
CleverLife is open to discussions with investors, strategic partners, pharma organizations, CROs and university stakeholders interested in digital health innovation.