Seoul, South Korea – Quantum AI startup Anzaetek Inc., led by French founder Renaud Michel Bechade, is pioneering a new frontier in artificial intelligence through the development of scalable and privacy-preserving solutions based on Quantum Machine Learning (QML) and Quantum Federated Learning (QFL). Founded in Seoul, the company is positioning itself as a key player in tackling complex data challenges in sectors such as healthcare, finance, and life sciences.
Anzaetek’s technology portfolio includes three distinct platforms reflecting different stages of quantum innovation. Its early-stage platform, Quantum Explorer, offers an API-first proof-of-concept system for running quantum and quantum-inspired algorithms. QML Explorer, now in productization phase, applies quantum superposition and entanglement to embed multimodal data efficiently. The latest solution, Sqetch, integrates image, video, waveform, and text data into a QML-based federated learning workflow and is being developed in partnership with a global quantum hardware provider.
“One of our biggest challenges was proving the practical value of quantum AI beyond academic research,” said Bechade. “We faced skepticism early on — many believed quantum was too premature. So instead of engaging in theoretical debates, we focused on quantifiable results through small-scale PoCs using classical ML pipelines enhanced by quantum modules and high-performance emulators.”
The rationale for pursuing quantum over traditional AI is rooted in Anzaetek’s core mission. Fields such as healthcare and finance often deal with sparse, heterogeneous, and highly sensitive data. In these environments, traditional AI systems struggle with privacy and data integration. Anzaetek’s QFL technology allows collaborative model training without raw data exchange, while QML efficiently compresses complex multimodal inputs with minimal parameters and explores richer model spaces.
One notable achievement includes high-fidelity image reconstructions from a 256×256 RGB ImageNet subset using QML-powered autoencoders (QLAE) — a real-world demonstration of practical quantum machine learning at scale.
Anzaetek plans to release its emulator-based QML/QFL product suite by late 2025, with full-stack quantum computing (FTQC) expansion slated for 2026. The company also aims to enhance SDK and API accessibility to facilitate integration across industries, while advancing developer experience through strategic collaborations with hardware makers and early adopters.
Seoul was chosen as Anzaetek’s launchpad due to its proximity to major hospitals and strong R&D support from government agencies like the Ministry of SMEs and Startups. Through the GSC’s funding program, Anzaetek quickly formed a consortium with four companies — a move that highlights the agility of Korea’s startup ecosystem.
In the next five years, Anzaetek’s quantum solutions are expected to drive transformation in medical diagnostics, genetic research, and financial modeling. Targeted applications include rare disease prediction, multimodal diagnostics, quantum-enhanced risk analysis, and few-shot learning credit scoring.
“Our vision is to deliver quantum technology for a better life,” Bechade emphasized. “We are committed to creating meaningful social impact by solving real-world challenges through accessible, responsible, and effective quantum AI.”
Website: https://www.anzaetek.com/
