Transforming Tomorrow's Technology Today

business areas

We specialize in targeted business areas

to deliver unparalleled expertise and results.

18

Consultants

On the board

21

Completed

Projects

90

Satisfied

Clients

our portfolio

Success stories and case studies

Integrating IoT smart sensors for elderly healthcare

Problems to solve

  • Limited availability of medical staff
  • High costs associated with employing caregivers for the elderly
  • Delayed response times in the event of unexpected incidents

Solution

Integrated system consolidates multiple sensors into a single device, enhanced by advanced notification and data retrieval capabilities

  • contactless temperature sensor

  • contactless ECG device

  • fall/incident detector

  • smart helpmate

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optimization of the medical caregiver's work

reduction of medical care costs

faster medical response

  • Effortless and contactless

  • All parameters in one device

  • Continous monitoring

Tech stack

  • Embedded software: MicroPython, C++

  • Machine Learning/AI: TensorFlow Lite, Google AI Platform

  • Communication: MQTT, FreeRTOS

  • Cloud Computing: Google Cloud IoT Core, Google Cloud Functions

  • Database: Firestore

  • Data Processing & Analytics: Apache Kafka, Google Cloud Dataflow

  • Architecture: Microservices REST API with modular design

  • Monitoring & Maintenance: Prometheus with Grafana, GitHub Actions, Jenkins

  • Nursing Homes:
    Real-time monitoring and automatic alerts for vital signs and falls, ensuring immediate attention and enhancing resident safety.

  • Hospitals:
    Continuous, contactless patient monitoring and data integration into electronic health records (EHR) to support proactive care and streamline workflows.

  • Home Healthcare:
    Remote monitoring and management of elderly patients' health metrics, reducing the need for frequent home visits and enabling timely interventions.

  • Well-Being:
    Tracking daily health metrics and activity levels to promote overall wellness and early detection of potential health issues.

e-Transplant - digital solution for organ and tissue transplantation

Problems to solve

  • Inefficient and time-consuming donor and recipient matching processes for various types of transplants, including organ, hematopoietic stem cell, simultaneous, and multi-organ transplants.
  • High risk of human errors in the management of transplantation workflows, potentially compromising patient safety.
  • Fragmented and uncoordinated systems causing difficulties in tracking and managing the entire transplantation process.
  • Lack of real-time data processing and validation, which delays the identification of suitable donors and recipients.

Solution

  • Developed a robust digital platform that covers the entire transplantation process from A to Z, including donor collection, recipient matching, and transplantation for a wide range of organs and tissues.

  • Implemented advanced algorithms for automated matching of donors and recipients, utilizing comprehensive databases and real-time data analysis.

  • Integrated error-checking mechanisms and validations to minimize human errors and ensure the accuracy of the transplantation process.

  • Created a user-friendly portal to streamline the workflow for healthcare professionals, providing a centralized system for managing and tracking transplants.

  • Utilized state-of-the-art technology to enhance data security and privacy, ensuring compliance with healthcare regulations.

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reduced donor-recipient matching time

fewer human error incidents during transplantation

more successful transplants

  • Real-time donor and recipient matching engine

  • Automated validation checks

  • User-friendly portal

  • Data security and privacy

Tech stack

  • Backend: Java 21, Spring Boot

  • Database: PostgreSQL

  • ORM: QueryDSL

  • Authentication and Authorization: Keycloak

  • Architecture: Microservices with modular design

  • National Organ and Tissue Registries:
    Enhances the efficiency of managing donor and recipient databases and facilitates quicker matches.

  • Hospitals and Transplant Centers:
    Streamlines the entire transplantation workflow, reducing errors and improving patient outcomes.

  • Research Institutions:
    Provides a robust platform for conducting studies and research on various types of transplants.

Predictive maintenance systems: enhancing efficiency and reliability

Problems to solve

  • Assembly line damage results in substantial financial losses
  • Lack of process optimization in machine servicing
  • Huge maintenance costs

Solution

An advanced IoT-based predictive system that optimizes the operation of related production lines:

  • fault detection

  • fault causes detection

  • predicting the occurrence of a fault

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failures prediction accuracy

reduction of downtime

increase work efficiency

  • Costs savings and time efficiency

  • Specialist staff optimization

  • Fully integrated

Tech stack

  • Software: Python, JavaScript, React.js

  • Machine Learning/AI: TensorFlow, PyTorch, Optuna, MLflow

  • Communication: RESTful APIs with Flask, Apache Kafka

  • Cloud Computing: AWS, Docker, Kubernetes

  • Datbase: AWS Timestream, Amazon S3, Apache Spark

  • Architecture: microservices

  • Monitoring & Maintenance: Prometheus with Grafana, Jenkins

  • Heavy Industry:
    Deploy predictive maintenance models to monitor machinery in real-time, reducing downtime and extending equipment lifespan.

  • HoReCa (Hotels, Restaurants, Cafes):
    Implement predictive maintenance to ensure the reliability of kitchen appliances and HVAC systems, preventing costly breakdowns and ensuring uninterrupted service.

How we work

Our cooperation framework

is meticulously designed to ensure unparalleled Reliability, Availability, Maintainability, and Safety.
  • 1. Pre-screening workshop

    Objective: To understand your business needs, challenges, and objectives.

    Activities: Initial consultations, stakeholder interviews, and requirement gathering.

    Outcome: A clear understanding of project scope and alignment on goals.

  • 2. Planning and analysis

    Objective: To develop a comprehensive project plan and conduct in-depth analysis.

    Activities: Detailed workflow analysis, feasibility studies, and strategic planning.

    Outcome: A tailored project roadmap with precise timelines and resource allocation.

  • 3. Quick prototyping

    Objective: To create a functional prototype for early validation.

    Activities: Rapid development of prototypes, user testing, and feedback collection.

    Outcome: A validated prototype that demonstrates core functionalities and guides further development.

  • 4. Development and upgrade

    Objective: To build and refine the full solution based on the prototype.

    Activities: Full-scale development, iterative testing, and performance optimization.

    Outcome: A robust, scalable solution ready for deployment and continuous improvement.

  • 5. Support and maintenance

    Objective: To ensure the solution remains effective and up-to-date.

    Activities: Ongoing support, regular updates, and proactive maintenance.

    Outcome: Sustained optimal performance and adaptability to changing business needs.

Testimonials

Our value lies in the continuous support

we provide to our clients

100

%

Successfully transformed businesses

32

%

Average costs reduction