Experience and expertise

We developed our expertise in academic research before moving into the business sector, working with organizations across different industries.

Our areas of expertise.

Experience and expertise

We developed our expertise in academic research before moving into the business sector, working with organizations across different industries.

Healthcare & Medical

Pharmaceuticals

Industry 5.0

Healthcare & Medical

Challenges addressed

  • Complex and evolving clinical workflows
  • Secure management of sensitive healthcare data
  • Integration between devices, legacy systems, and central platforms

Solutions

  • Highly configurable clinical systems
  • Secure integration between administrative and medical systems
  • High-resolution medical imaging visualization

Results

  • Clinical processes better aligned with real-world practice
  • Improved data security and traceability
  • Reduced dependency on technical intervention

Life Sciences and Pharmaceuticals

Challenges addressed

  • Management of complex clinical trials
  • High complexity of data and configuration parameters
  • Need for extensive testing on critical systems

Solutions

  • Applications for clinical trial management
  • Systems for scientific data collection and validation
  • Automation of functional and certification testing

Results

  • Improved data quality and reliability
  • Reduced validation times
  • More robust systems over time

Manufacturing & Industry 4.0/5.0

Challenges addressed

  • Integration between machinery and information systems
  • Legacy systems that are difficult to evolve
  • Operational constraints that avoid downtime

Solutions

  • Integration components for MES, ERP, and production lines
  • Resilient and event-driven architectures
  • Incremental reengineering of existing applications

Results

  • Improved operational continuity
  • Greater visibility into production processes
  • Reduced operational risk

Energy & Renewables

Finance

Logistics

Energy, Environment & Renewables

Challenges addressed

  • Distributed data collection, even without connectivity
  • Massive volumes of telemetry data
  • Complex calculations for emissions and environmental profiles

Solutions

  • Offline-first mobile applications for data collection
  • Centralized systems for workflow and survey management
  • Monitoring dashboards and alerting systems

Results

  • Improved data quality and timeliness
  • Practical support for sustainability strategies
  • Scalable systems built for growth

Finance, Banking & Insurance

Challenges addressed

  • Complex systems layered over time
  • Integration between heterogeneous applications
  • Secure management of financial and regulatory data

Solutions

  • Refactoring e manutenzione evolutiva di sistemi core
  • Piattaforme Big Data e data lake
  • Gestione avanzata di logging e integrazione applicativa

Results

  • Improved maintainability and reliability
  • Greater data governance
  • Reduced operational and regulatory risk

Logistics, Transportation & Critical Infrastructure

Challenges addressed

  • Real-time data from distributed systems
  • High availability and resilience requirements
  • Integration between central and peripheral systems

Solutions

  • Centralized monitoring systems and dashboards
  • Event-driven architectures
  • Data warehouses for large volumes of data

Results

  • Improved operational safety
  • Faster and more informed decision-making
  • Reliable systems even under critical conditions

Retail & Digital Services

Culture

Retail, E-Commerce & Digital Services

Challenges addressed

  • Highly configurable offerings and data
  • Sensitive payment and billing management
  • Business-critical performance requirements

Solutions

  • Custom platforms for sales and service management
  • Integration of payment systems
  • Advanced search engines and UX optimization

Results

  • Improved user experience
  • Greater reliability in sales processes
  • Increased commercial flexibility

Culture, Research & Public Administration

Challenges addressed

  • Complex data with interconnected relationships
  • Expert users with advanced requirements
  • Poorly documented existing systems

Solutions

  • Systems for bibliographic and scientific data management
  • High-definition digital archive visualization
  • Software for simulation and modeling

Results

  • Improved access to and enhancement of data
  • Reduced dependency on informal knowledge
  • Tools genuinely useful to specialists

What do we mean by uncertainty?

Challenges addressed

  • Highly configurable offerings and data
  • Sensitive payment and billing management
  • Business-critical performance requirements

Solutions

  • Custom platforms for sales and service management
  • Integration of payment systems
  • Advanced search engines and UX optimization

Results

  • Improved user experience
  • Greater reliability in sales processes
  • Increased commercial flexibility

EU-funded projects

Project AISS

Project LINFA

Project GENIALE

Project AISS - AI BASED SERVICE MANAGEMENT SUITE

Specifications

The AISS project – AI Based Service Management Suite – aims to evolve the AskMe Desk platform into a service management suite natively enhanced through Artificial Intelligence and Machine Learning technologies, making the end-to-end digitalization of service business processes accessible, fast, and sustainable for companies of all sizes, with particular focus on SMEs.

More specifically, the project transforms the current AskMe Desk platform into a cloud-native architecture based on containerized microservices, powered by a multi-layered data lakehouse designed to ensure continuous data flows for AI algorithms. The platform is built to be compliant by design with GDPR, the EU Data Act, and the EU AI Act, helping organizations reduce regulatory risks and compliance costs.

To achieve these objectives, the consortium is developing:

  • a containerized microservices and elastic data lakehouse architecture, scalable and compliant with the latest European regulations on AI and data governance;
  • RPA+ and Generative AI modules for the creation and continuous improvement of service workflows;
  • advanced knowledge-base management capabilities based on LLMs, NLP, and Reinforcement Learning, enabling organizational knowledge to enhance and drive automation;
  • hybrid AI/ML algorithms and meta-modeling techniques for the analysis and optimization of the entire service lifecycle, with measurable impact on operational costs, quality, and productivity.

Total eligible investment: €1,499,890.80
Total granted funding: €658,950.86

Project LINFA

Specifications

Jaewa Srl is a partner in the LINFA project, developed with the significant support of the Tuscany Regional Government under the PAR FAS 2007–2013 program, Action Line 1.1 – FAR FAS 2014 call.

The LINFA project aims to develop, within healthcare organizations, a technological, informational, and organizational system designed to improve the procurement process for pharmaceuticals and medical devices.

The system is built around predictive analytics models, process optimization methodologies, advanced logistics practices, enhanced traceability through RFID technologies, and the integration of healthcare and technical-administrative data flows.

The project originated from the idea of providing decision-support tools to assist professionals responsible for order management and inventory control within hospital departments. At the same time, it develops methodologies, operational practices, and cooperation models designed to extend these applications across different organizational scales.

The availability of historical data, combined with forecasting methods and optimization algorithms integrated into a shared technological platform, enables a virtuous cycle aimed at minimizing inventory levels while improving the effectiveness and efficiency of pharmaceutical management, ultimately contributing to reduced healthcare costs.

The need to integrate with pre-existing technological, informational, and organizational systems — such as electronic health records, pharmaceutical tracking systems, and patient flow management platforms — requires LINFA to interface with a wide range of hardware and software components, including databases, RFID antennas and readers, smart carts, and intelligent storage systems. This made the definition of a shared communication protocol essential for reliable message exchange between systems.

Within the LINFA project, Jaewa contributes to these objectives through its expertise in designing and developing software architectures focused on the integration of heterogeneous components.

Project GENIALE

Specifications

Jaewa Srl is a partner in the GENIALE project, co-funded through the POR CReO FESR 2014–2020 program under the “Research, Development and Innovation Investments (RSI)” funding call – Call 2.

GENIALE aims to engineer an electro-mechanical system capable of performing and automatically interpreting biological analyses through an integrated scanner and processing unit.

The project has a duration of 18 months, is coordinated by VISIA Imaging Srl, and involves collaboration with the partners FABBRI Srl and the University of Florence – Department of Information Engineering (DINFO).

Project JARVIS

Project JARVIS

Specifications

Jaewa Srl is a partner in the JARVIS project, co-funded through the POR CreO FESR Tuscany 2014–2020 program – Line 1.1.4, Action 1.1.5, Sub-action a1 – “Research and Development Investment Grants for SMEs 2017” – Call 2.

The JARVIS project aims to develop a hardware and software framework capable of supporting the integration, operation, and maintenance of complex systems. The project includes the research and development of a hardware board prototype designed to control physical subsystems, featuring telemetry capabilities, edge computing functionalities, and integration with Industrial Internet architectures and technologies.

The project is carried out through a partnership involving four companies — Lascaux Srl, Sismic Sistemi Srl, Jaewa Srl, and Beenomio Srl — together with a public research organization, the University of Florence – Department of Computer Engineering. The consortium combines expertise in software engineering, telemetry and hardware control systems, and maintenance practices for physical infrastructures and devices.

Healthcare & Medical

Pharmaceuticals

Industry 5.0

Healthcare & Medical Sector

Challenges addressed

  • Complex and evolving clinical workflows
  • Secure management of sensitive healthcare data
  • Integration between devices, legacy systems, and central platforms

Solutions

  • Highly configurable clinical systems
  • Secure integration between administrative and medical systems
  • High-resolution medical imaging visualization

Results

  • Clinical processes better aligned with real-world practice
  • Improved data security and traceability
  • Reduced dependency on technical intervention

Life Sciences e Pharmaceuticals

Challenges addressed

  • Management of complex clinical trials
  • High complexity of data and configuration parameters
  • Need for extensive testing on critical systems

Solutions

  • Applications for clinical trial management
  • Systems for scientific data collection and validation
  • Automation of functional and certification testing

Results

  • Improved data quality and reliability
  • Reduced validation times
  • More robust systems over time

Manufacturing & Industry 4.0/5.0

Challenges addressed

  • Integration between machinery and information systems
  • Legacy systems that are difficult to evolve
  • Operational constraints that avoid downtime

Solutions

  • Integration components for MES, ERP, and production lines
  • Resilient and event-driven architectures
  • Incremental reengineering of existing applications

Results

  • Improved operational continuity
  • Greater visibility into production processes
  • Reduced operational risk

Energy & Renewables

Finance

Logistics

Energy, Environment & Renewables

Challenges addressed

  • Distributed data collection, even without connectivity
  • Massive volumes of telemetry data
  • Complex calculations for emissions and environmental profiles

Solutions

  • Offline-first mobile applications for data collection
  • Centralized systems for workflow and survey management
  • Monitoring dashboards and alerting systems

Results

  • Improved data quality and timeliness
  • Practical support for sustainability strategies
  • Scalable systems built for growth

Finance, Banking & Insurance

Challenges addressed

  • Complex systems layered over time
  • Integration between heterogeneous applications
  • Secure management of financial and regulatory data

Solutions

  • Refactoring and evolutionary maintenance of core systems
  • Big Data platforms and data lakes
  • Advanced logging and application integration management

Results

  • Improved maintainability and reliability
  • Greater data governance
  • Reduced operational and regulatory risk

Logistics, Transportation & Critical Infrastructure

Challenges addressed

  • Real-time data from distributed systems
  • High availability and resilience requirements
  • Integration between central and peripheral systems

Solutions

  • Centralized monitoring systems and dashboards
  • Event-driven architectures
  • Data warehouses for large volumes of data

Results

  • Improved operational safety
  • Faster and more informed decision-making
  • Reliable systems even under critical conditions

Retail and Digital Services

Culture

Retail, E-Commerce & Digital Services

Challenges addressed

  • Highly configurable offerings and data
  • Sensitive payment and billing management
  • Business-critical performance requirements

Solutions

  • Custom platforms for sales and service management
  • Integration of payment systems
  • Advanced search engines and UX optimization

Results

  • Improved user experience
  • Greater reliability in sales processes
  • Increased commercial flexibility

Culture, Research & Public Administration

Challenges addressed

  • Complex data with interconnected relationships
  • Expert users with advanced requirements
  • Poorly documented existing systems

Solutions

  • Systems for bibliographic and scientific data management
  • High-definition digital archive visualization
  • Software for simulation and modeling

Results

  • Improved access to and enhancement of data
  • Reduced dependency on informal knowledge
  • Tools genuinely useful to specialists

What do we mean by uncertainty?

Challenges addressed

  • Highly configurable offerings and data
  • Sensitive payment and billing management
  • Business-critical performance requirements

Solutions

  • Custom platforms for sales and service management
  • Integration of payment systems
  • Advanced search engines and UX optimization

Results

  • Improved user experience
  • Greater reliability in sales processes
  • Increased commercial flexibility

EU-funded projects

Project AISS

Project LINFA

Project GENIALE

Project AISS - AI BASED SERVICE MANAGEMENT SUITE

Specifications

The AISS project – AI Based Service Management Suite – aims to evolve the AskMe Desk platform into a service management suite natively enhanced through Artificial Intelligence and Machine Learning technologies, making the end-to-end digitalization of service business processes accessible, fast, and sustainable for companies of all sizes, with particular focus on SMEs.

More specifically, the project transforms the current AskMe Desk platform into a cloud-native architecture based on containerized microservices, powered by a multi-layered data lakehouse designed to ensure continuous data flows for AI algorithms. The platform is built to be compliant by design with GDPR, the EU Data Act, and the EU AI Act, helping organizations reduce regulatory risks and compliance costs.

To achieve these objectives, the consortium is developing:

  • a containerized microservices and elastic data lakehouse architecture, scalable and compliant with the latest European regulations on AI and data governance;
  • RPA+ and Generative AI modules for the creation and continuous improvement of service workflows;
  • advanced knowledge-base management capabilities based on LLMs, NLP, and Reinforcement Learning, enabling organizational knowledge to enhance and drive automation;
  • hybrid AI/ML algorithms and meta-modeling techniques for the analysis and optimization of the entire service lifecycle, with measurable impact on operational costs, quality, and productivity.

Total eligible investment: €1,499,890.80
Total granted funding: €658,950.86

Project LINFA

Specification

Jaewa Srl is a partner in the LINFA project, developed with the significant support of the Tuscany Regional Government under the PAR FAS 2007–2013 program, Action Line 1.1 – FAR FAS 2014 call.

The LINFA project aims to develop, within healthcare organizations, a technological, informational, and organizational system designed to improve the procurement process for pharmaceuticals and medical devices.

The system is built around predictive analytics models, process optimization methodologies, advanced logistics practices, enhanced traceability through RFID technologies, and the integration of healthcare and technical-administrative data flows.

The project originated from the idea of providing decision-support tools to assist professionals responsible for order management and inventory control within hospital departments. At the same time, it develops methodologies, operational practices, and cooperation models designed to extend these applications across different organizational scales.

The availability of historical data, combined with forecasting methods and optimization algorithms integrated into a shared technological platform, enables a virtuous cycle aimed at minimizing inventory levels while improving the effectiveness and efficiency of pharmaceutical management, ultimately contributing to reduced healthcare costs.

The need to integrate with pre-existing technological, informational, and organizational systems — such as electronic health records, pharmaceutical tracking systems, and patient flow management platforms — requires LINFA to interface with a wide range of hardware and software components, including databases, RFID antennas and readers, smart carts, and intelligent storage systems. This made the definition of a shared communication protocol essential for reliable message exchange between systems.

Within the LINFA project, Jaewa contributes to these objectives through its expertise in designing and developing software architectures focused on the integration of heterogeneous components.

Project GENIALE

Specification

Jaewa Srl is a partner in the GENIALE project, co-funded through the POR CReO FESR 2014–2020 program under the “Research, Development and Innovation Investments (RSI)” funding call – Call 2.

GENIALE aims to engineer an electro-mechanical system capable of performing and automatically interpreting biological analyses through an integrated scanner and processing unit.

The project has a duration of 18 months, is coordinated by VISIA Imaging Srl, and involves collaboration with the partners FABBRI Srl and the University of Florence – Department of Information Engineering (DINFO).

Project JARVIS

Project JARVIS

Specification

Jaewa Srl is a partner in the JARVIS project, co-funded through the POR CreO FESR Tuscany 2014–2020 program – Line 1.1.4, Action 1.1.5, Sub-action a1 – “Research and Development Investment Grants for SMEs 2017” – Call 2.

The JARVIS project aims to develop a hardware and software framework capable of supporting the integration, operation, and maintenance of complex systems. The project includes the research and development of a hardware board prototype designed to control physical subsystems, featuring telemetry capabilities, edge computing functionalities, and integration with Industrial Internet architectures and technologies.

The project is carried out through a partnership involving four companies — Lascaux Srl, Sismic Sistemi Srl, Jaewa Srl, and Beenomio Srl — together with a public research organization, the University of Florence – Department of Computer Engineering. The consortium combines expertise in software engineering, telemetry and hardware control systems, and maintenance practices for physical infrastructures and devices.