Technologies

We use a cutting-edge technology stack to build medical solutions

Technology stack

Artificial intelligence and machine learning

Advanced machine learning approaches for building predictive models in clinical medicine.

Deep Learning (PyTorch, TensorFlow)

Graph neural networks (GNN), Transformers, Vision Transformers

Natural Language Processing (BERT, specialized medical models)

Time-series Analysis (LSTM, Temporal Fusion Transformers)

Reinforcement Learning for adaptive systems

Explainable AI (SHAP, LIME) — explainable recommendations for physicians

Federated Learning — training without transferring personal data

Data

Storage, processing and data preparation infrastructure for safe and reproducible research.

Data Lake Architecture (ClickHouse, PostgreSQL, MinIO)

MLOps (MLflow, Kubeflow, Airflow)

Integration with medical information systems

Support for FHIR/HL7 formats

XR

Virtual, augmented and mixed reality solutions for rehabilitation, training and skill practice.

VR/AR/MR Development (Unity, Unreal Engine, VR Concept)

3D Modeling (medical visualization, CBCT data)

OpenXR, tracking (TauTracker, ArUco/AprilTag)

Real-time rendering (latency ≤50 ms)

Smart Health

Contactless physiology monitoring and intelligent devices for continuous patient observation.

mmWave / ToF radars (contactless physiology)

RGB-D cameras, Computer Vision (MediaPipe, OpenPose, YOLOv8)

Edge Computing (NVIDIA Jetson Orin, domestically produced alternatives)

Biomechanical modeling

Security

Data protection and compliance with legal requirements at every stage of the solution lifecycle.

Russian cloud providers certified to Federal Law 152-FZ and FSTEC (T1 Cloud, SberCloud, Yandex Cloud)

Encryption per GOST / ISO 27001

Compliance with requirements for clinical decision support systems