Case Study
AI & MACHINE LEARNING IN AVSEC
Project Overview
We actively worked alongside the first Artificial Intelligence (AI) and Machine Learning (ML) provider automating the detection of prohibited items in carry-on baggage. The collaboration and work that ensued set the stage for an evolution in the market towards automation in detection and new regulatory incentive structures.
Client Profile
Client
Synapse (acquired by Palantir)
Business Type
Third-Party Automated Detection Solution Provider
Client Location
North America
LAM LHA ADVISORY
- Stakeholder outreach and data collection
- Regulatory monitoring
- Pilot development
Key Outcomes
- Secured data for algorithm development from two partner airports
- Secured pilot opportunities in three European airports
- Secured collaboration with European national laboratory
- Evolved ecosystem understanding of automated detection capabilities
LAM LHA knows the latest technological, operational, and regulatory trends. They’re intimately familiar with what every stakeholder in this world is thinking—almost to a psychic degree.
Bruno Faviero
PM at Palantir (formerly Co-Founder and COO at Synapse)
