Foundational Research. Applied Engineering.
Intelli Auto conducts applied research across the technology-development lifecycle, from early algorithm design and proof of concept to system integration and real-world validation. We create novel AI methods where conventional models are inadequate, then build the software and data infrastructure required to make those methods usable in operational settings.
- Specialized expertise in graph learning, computer vision, diffusion methods, energy-based models, and spatiotemporal analytics.
- Data-centric research practices that improve model quality, reliability, explainability, and deployment readiness.
Physical, Graph & Spatiotemporal AI
- We design AI architectures that learn from relationships and change over time.
- Our physical, graph-based and spatiotemporal Neural networks extract meaningful events and features from visual, geospatial, and sensor data. We also develop approaches for data-quality assessment, uncertainty handling, and anomaly detection.
Intelligent Mobility & Cyber-Physical Systems
- We apply AI to cyber-physical infrastructure systems where real-world conditions, sensing limitations, and operational safety.
- Our work supports applications such as traffic and mobility analysis, connected-vehicle ecosystems, infrastructure monitoring, and digital-twin synchronization services that coordinate distributed resources.