By transforming raw trajectories into knowledge graphs and embeddings, we power the next generation of navigation and discovery — systems that answer not just where to go, but why and how.
Maei.ai solves semantics
Adaptive and personalized
Isn't a map — it's an embedding
Three groundbreaking products that transform motion data into actionable intelligence
Adding context to routes by enriching road and path data with semantic annotations that make motion machine-readable. Each segment is linked to real-world constraints and qualities.
Goes beyond static map tags with continuous learning
Continuously updates as infrastructure and usage evolve
Embeds attributes directly into routing and search
Trucking & Logistics
Avoid clearance hazards
Cyclists & Pedestrians
Safer travel experiences
Consumers
Personalized routing
From trajectories to meaning. Generate vector representations that encode the semantics of movement: relationships between routes, destinations, and behaviors.
Designed for flows, not just locations
Combines spatial, temporal, and behavioral context
Tuned for search and discovery applications
"Where can I take my 12-year-old for an educational but fun afternoon?"
Adaptive journeys for every need. Move beyond one-size-fits-all routing to deliver context-specific navigation that adapts to user goals and preferences.
Aligns routing with purpose and intent
Balances safety, time, cost, and experience
Natural language requests powered by embeddings
Logistics
Safe, compliant routing
Daily Mobility
Optimized journeys
The Contextual Routing Communication Platform transforms motion data from passive observation to active dialogue. Each road segment becomes a conversation point, sending predictive, situational messages to drivers in real-time.
This is NOT another router
No UI, just intelligent communication with drivers
Anticipates route decisions and prepares tailored advisories
Driver responses refine predictions and improve ETA accuracy
Predictive Communication
Foreknowledge, not directions
Branch Intelligence
Trees of possible futures
Dynamic Refinement
Real-time recalibration