R&D Projects.

Innovation in AI and security.

Our Research Focus

Levně a Kvalitně drives advances in energy‑efficient model compression, scalable multilingual natural‑language processing, and cybersecurity‑by‑design solutions for edge computing appliances. Our work is supported by private equity investment and national research vouchers to accelerate technology transfer.

Below you’ll find details for key active projects, each with objectives, deployed technologies, technology-readiness levels, expected public deliverables, and major collaborators. Interested in working together? We invite research organisations to propose joint ventures—reach out via the Contact page.

SmartEdge: Secure, Green Edge AI

Objective: Privacy-first, low-power AI for edge devices. Leverages quantized neural networks and runtime encryption. Key technologies: PyTorch, ONNX, ARM TrustZone. TRL: 6. Deliverables: white-papers, open benchmarks. Partners: Charles University, ENISA.

PolyLingua: Multilingual Document AI

Objective: Robust document parsing in 18+ languages for critical industries. Uses transformer-based architectures and active learning. Key technologies: Hugging Face, spaCy, synthetic data. TRL: 5. Deliverables: annotated dataset, reference implementation. Partners: GAUK, European Language Grid.

CyberTrust: Embedded Security Analytics

Objective: Detect threats in operational data streams at the edge. Combines federated learning with zero‑trust architecture. Key technologies: TensorFlow Lite, Docker, Zeek IDS. TRL: 7. Deliverables: best-practices white-paper, demos. Partners: Brno University of Technology, NIST.

SmartEdge: Secure, Green Edge AI

PolyLingua: Multilingual Document AI

CyberTrust: Embedded Security Analytics