R&D Center WINSTARS.AI

WINSTARS.AI is an independent applied research and engineering center (Applied AI & Cyber-Physical R&D Center) specializing in the creation of complex full-cycle intelligent systems: from mathematical modeling and neural network training to hardware prototyping and the deployment of solutions into industrial operation.

Geographically based in Ukraine and EU countries (including Estonia), we combine academic depth in research with high-speed engineering execution.

Our Key Differentiating Factor: Cyber-Physical & Edge AI

Most AI companies focus exclusively on cloud services and standard APIs. WINSTARS.AI develops intelligence capable of interacting with the real physical world:

• Software + Hardware: Thanks to synergy with our own fablab and prototyping laboratories (Technopark Crystal), we develop turnkey solutions—designing boards, integrating sensors, manufacturing enclosures, and optimizing neural networks for specific microprocessors or controllers.

• Autonomy and Resilience (Battle-Tested): Experience in Dual-Use and security developments (Trident Group) enables us to create computer vision and spatial orientation systems that operate locally on devices (Edge AI) without access to the internet, cloud servers, or GPS signals under active jamming conditions.

• Proprietary Research & Engineering Reserve: The UME educational ecosystem and internal annual research internship form a strong talent pipeline of data researchers, guaranteeing clients exceptional engineering quality at a justified cost.

Key Technological R&D Focus Areas

1. Edge AI & Embedded Computer Vision: Creating lightweight models (TensorRT, ONNX, OpenVINO) for microcontrollers, single-board computers (Jetson, Raspberry Pi), and robotic complexes with zero-latency.

2. Enterprise Multi-Agent Systems: Designing autonomous business agents that handle operational chains (finance, logistics, underwriting, legal compliance), and fine-tuning open-source LLMs within the customer's closed-loop environment without corporate data leakage.

3. AI Venture Studio & FastTrack MVP: Rapid testing of scientific and technical hypotheses for startups and launching a working PoC/MVP in 4–6 weeks for presentation to investors and grant funds.

4. Dedicated Managed AI R&D Pods: Provision of dedicated autonomous research teams (Lead Data Scientist + ML Engineers + MLOps) working as an external scientific division of your company.

Proven Industrial Expertise:

• AgriTech & Smart Energy: Multispectral satellite field monitoring, yield estimation, ML models for forecasting bio-resources and building energy efficiency (cases: Kusto Agro, Astarta, Myrspowen).

• MedTech & BioTech: Specialized computer vision diagnostic platforms for early disease detection and AI rehabilitation (cases: Checkeye, Tayra, Neurorehub).

• Smart Retail & FinTech: Demand forecasting, dynamic supply chain management, retail shelf video analytics, and scoring (cases: Aurora, PUMB, Shyk i Blysk).

• Defense & Robotics: Systems for autonomous object tracking, optical odometry, and sensor fusion (cases: Trident Group).

Collaboration Formats

1. Rapid AI PoC (4 weeks): Testing a hypothesis on your data with a demonstration of measurable results before scaling investments.

2. Contract R&D: Comprehensive development of a software or hardware-software product with full transfer of intellectual property (IP).

3. Grant-Funded R&D: Attracting European grants (Horizon Europe, Digital Europe, FSTP cascade grants) for co-funding the development of an innovative solution.