RDSlab Srl is a software engineering company with deep experience in the design, development and sale of IT products and solutions for the treatment of traffic and transactional data, for the management and distribution of informative contents and for the safety of communications.

We have a long and specific experience in the implementation of systems designed for management and analysis of data in support of the investigative functions carried out by the Judicial Authority.

Rdslab operates with the help of a large group of qualified technicians in the various theoretical and applied areas of computer science, with a constant attention to technological innovation and product development, also realized through participation in advanced R & D projects.

Rdslab has its operational headquarters in Rome (Italy) and points of presence in California and Brazil

  R & D Group

Domain Specialists
Statistical Experts
Security / Intelligence
Consultants & Specialists

  Project Group

Business Requirement Management Client Services Support to System Integrator

  Product Development Group

Java, J2EE Programmers - OLAP, UML Designers
SOA Experts, Websphere, JBOSS
ORACLE Specialists & DB Experts
Data Warehousing and Data Mining
System Engineers - Quality Control and Testing

  Thought Leaders

Telco Specialist
Statistical Expert
Security & Intelligence consultants

  Product Support & Maintenance

Business Analyst
Onsite and Offsite Support

Rdslab has many success stories with several important customers both domestic and foreign.



For the development of projects and the installation and management of products and solutions at the End Customers, Rdslab usually cooperates with system integrators, organizations and specialized companies of international scope, such as:


Data Retention Suite

Data Retention is the ability to capture and store massive quantities of event related records, keep those records for long periods of time, retrieve and deliver query results to law enforcement agents in near real time and provide tamperproof court quality forensic evidence sufficient to identify and prosecute terrorists or criminals.

Data Retention technology is the preferred approach taken by cutting edge intelligence agencies for applications that require massive scalability, long storage periods and real time data retrieval.

Key Technological Advantages

Purpose Built.
Highly and linearly scalable.

Currently Capturing 10s of Billions of CDRS/IPDRs per day with the uniqueability to search across trillions of records in near real time.

Complies with the EU Data Retention Directive.
Encrypted, fully auditable, secure and tamperproof.
Requires far less CPUs (hardware).

Very high compression level with minimal performance impact.
Requires less storage (via compression).
Highly configurable and proven reliability.

RDSlab projects always continuously updated

Key Operational Advantages

Easily manageable directly by the end customer or the system integrator (less custom development required).

Built-in capability to acquire complex and diverse input data flows.

Very high ingestion rate and low HW requirement simplifies systemmanagement and scalability when traffic increase.

No DBMS required for data storage, simplified DB administration.

Linear scalability.

Full redundancy.

Fundend Projects

HEREMOS is a platform for the continuous monitoring of vital parameters to assess the patient's health, optimize discharge times and drop the re-hospitalization rate. Particularly, HEREMOS is a technology designed to support geriatric patients, allowing them to be self-managed and at their home premises, still keeping a close check on their health.The HEREMOS platform composition:
A. wearable system, with data acquisition and processing capabilities, equipped with sensors for real time monitoring of: blood pressure, heart rate, respiratory rate, respiratory volumes, arterial oxygen saturation, body sweat, body temperature.
B. Data Lake in Big Data logic, with advanced encryption methods, for data storage. Through the analysis of acquired data and specific algorithms, predictive models and indices can be extrapolated to evaluate the patient's state of health in an early manner.
AWARDED GRANT:       € 326.558

SEMANTIC aims to satisfy the growing security need for soft targets and hard targets through the development of a software tool and a methodology. SEMANTIC is a system for critical infrastructures security, based on a methodology that integrates web data mining and advanced data analysis techniques (Machine Learning), to identify potential critical events, extract the key characteristics, estimate the risk of a threat and consequently suggest a series of countermeasures to be implemented with a cost-benefit approach. The system can be divided into three main modules: the Data Mining module, the Data Repository module and the Risk Assessment module. SEMANTIC will make full use of web information, offering, together with a data mining tool, a semantic analysis tool, to create a knowledge repository able to provide valid decision support thanks to timely and constantly updated information. The risk assessment module of SEMANTIC, after analyzing the information collected on the web and evaluating the probability of attack scenarios, will provide a quantitative data on the risk that the critical infrastructure is running, and a series of possible countermeasures.
AWARDED GRANT:        € 222.411

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  • Address: Viale Giuseppe Mazzini, 131 - 00195 Roma Italy