Inaccurate EV stop-time predictions — AI route optimizer for real-world charging

Inaccurate EV stop-time predictions — AI route optimizer for real-world charging targets a $12.0B = 20M commercial & consumer fleet subscriptions x $600 ACV total addressable market with medium saturation and a year-over-year growth rate of 18-25% (fleet electrification + charging infra expansion).

Key trends driving demand: Fleet electrification -- more commercial EVs require predictive routing to hit SLAs and reduce dwell time.; API-enabled charging networks -- live performance and availability data enable real-time optimizations.; Edge/telemetry data growth -- richer vehicle telemetry allows per-vehicle models rather than generic assumptions..