The MM (Machine Learning) platform developed by Blautic is a comprehensive environment that enables the creation, training, and deployment of Artificial Intelligence models in an accessible way, even for professionals without advanced knowledge in data science or programming.
Its main differentiating value lies in democratizing the use of Machine Learning, allowing experts in specific fields—such as coaches, sports physicians, or healthcare specialists—to train AI models based on their domain knowledge, without the need to directly handle low-level data processing.
1. System Objectives
The platform covers the entire data and model lifecycle:
- Data source selection, which may include camera images, ExG sensors, motion sensors, optical systems, or application-specific data.
- Data acquisition through mobile and tablet applications, guiding users to repeatedly perform activities that generate the patterns of interest.
- Model labeling and training in the cloud, where data is processed and used to generate AI models ready for deployment.
- Development of final applications, focused on real-time inference and the extraction of valuable information for the end user.
In addition, the platform automatically incorporates model explainability mechanisms, allowing the analysis and understanding of inference results, thereby increasing trust, transparency, and validation of the generated AI systems.
2. What can the MM platform offer to third-party companies?
The MM platform represents a clear competitive advantage for third-party companies seeking to incorporate Artificial Intelligence into their products or services without taking on the usual technical complexity associated with this type of solution.
Among its main contributions are:
- Reduction of technological barriers, enabling companies without specialized AI teams to develop advanced data-driven solutions.
- Accelerated time-to-market, by simplifying the processes of data acquisition, model training, and deployment.
- Model personalization, allowing each company to train models tailored to its own data, contexts, and use cases.
- Scalability and cloud deployment, facilitating integration into existing applications and real-time usage.
- Trust and validation, enabled by automatic model explainability, which is especially relevant in regulated sectors such as healthcare.
In this way, the MM platform becomes a technological enabler for companies seeking to innovate through AI without the need to develop solutions from scratch.esarrollar soluciones desde cero.
3. Aplicaciones reales en los sectores de la salud y el deporte
The flexibility of the MM platform enables its application across multiple real-world scenarios, particularly in the healthcare and sports domains, where the interpretation of complex patterns is essential.
Applications in the healthcare sector
- Biomedical signal analysis (EEG, EMG, ECG, and other ExG signals) for detecting patterns associated with pathologies, fatigue, stress, or rehabilitation processes.
- Functional rehabilitation monitoring, assessing the correct execution of exercises and the patient’s progress in real time.
- Clinical decision support, providing interpreted information based on explainable models trained with data specific to the clinical environment.
- Remote patient monitoring, through mobile applications connected to sensors, enabling continuity of care.
- Application of Machine Learning without the need to develop proprietary infrastructure.
Applications in the sports sector
- Sports movement analysis, using computer vision and motion sensors to evaluate technique, efficiency, and injury risk.
- Injury prevention, by detecting anomalous movement patterns or overload before an injury occurs.
- Performance optimization, extracting advanced metrics in real time during training sessions or competitions.
- Personalized training, adapting workloads and exercises based on models trained with data specific to each athlete.
The MM platform by Blautic enables experts to leverage Artificial Intelligence, transforming complex data into useful and explainable real-time insights, thereby driving innovative solutions in the healthcare and sports sectors.