Research
In-depth research and analysis on AI systems, privacy-first approaches, and secure implementations.
Current Research Areas
- • Local LLM performance benchmarking across different hardware configurations
- • Privacy-preserving AI architectures for enterprise environments
- • Hybrid cloud-local AI workflows for optimal security and performance
- • AI copilot integration patterns for product management workflows
Research Publications & Notes
Detailed research findings and analysis will be published here. Stay tuned for insights on local AI deployment strategies, security considerations, and practical implementation guides.