Yuriy Onyshchuk
Co-Founder
M.Sc. in Robotics Engineering (Erasmus Mundus, full scholarship) from the University of Genoa and Warsaw University of Technology. Former AI researcher at the Italian Institute of Technology, building deep learning solutions for Fortune 100 companies. Published at CVPR and ICRA. US patent holder with Sony and IIT. Both founders are embedded in every engagement, owning delivery end-to-end.
Patents
2025
Information processing system, information processing method, and program US20250166222A1 - Sony Interactive Entertainment / Istituto Italiano di Tecnologia
Publications
2022
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking IEEE Robotics and Automation Letters / ICRA 2023
2022
On-the-fly 6DoF Object Pose Estimation CVPR 2022 Expo, Sony Booth
Articles
- Second-platform cost in cross-platform development
- ML model serving architecture for real-time inference
- Voice AI architecture that fails at component boundaries
- System integration best practices for production products
- Event data architecture for analytics that explains movement
- Machine learning with small datasets and domain priors
- Executive dashboard design boards can use
- Data cleaning governance for production pipelines
- Test vendor integrations before signing a contract
- AI readiness assessment for production deployment
- MLOps team structure for platform and model ownership
- Data lineage implementation from ingestion to audit evidence
- Search relevance testing and two answers to the same question
- Data platform ownership when revenue has three names
- Vector database architecture in production is more than ANN search
- How to evaluate a software development partner before signing
- Customer discovery for engineering teams
- How to scale product operations before a growth push
- How date alignment in analytics reduces forecast errors
- How to reduce data warehouse costs with workload-level attribution
- Escaping the quadrant of death in enterprise software
- MLOps - Driving structural value from AI investments
- How recommendation systems build product loyalty
- Enterprise use cases for RAG systems
- Building and evaluating RAG systems the right way