Fleetline
Fleetline is an artificial intelligence company based in New York City, NY, USA [1][4] that optimizes fleet planning with data-driven algorithms [2]. Founded in 2025 [12], the company was accepted into Y Combinator's Summer 2025 batch [5][10]. Fleetline builds algorithmic load planning software for mid to large-sized trucking fleets [3][9]. The platform combines advanced optimization with large language models to adapt algorithms to individual fleet needs while accounting for driver preferences and schedule exceptions [3][9]. The company employs 11 people [7][13] and maintains active status [6].
About
- Fleetline is building the first complete-context algorithmic load planner for mid to large-sized trucking fleets. Today’s dispatchers face an overwhelming task: balancing regulations, customer demands, live fleet data, and individual driver needs, all while coordinating across siloed tools and teams. Mistakes run rampant, and each mistake is thousands of dollars. Even the select fleets using algorithms that have fleet-wide context struggle: the outputs are rigid, hard to interpret, and are blind to real-world nuances like driver preferences and schedule exceptions. Fleetline solves this by combining advanced optimization with LLMs that can easily adapt algorithms to each fleet’s needs and capture driver-specific information. The result is smarter planning truly optimized for every fleet and its drivers.[3]
- Fleetline is building the first complete-context algorithmic load planner for mid to large-sized trucking fleets. Today’s dispatchers face an overwhelming task: balancing regulations, customer demands, live fleet data, and individual driver needs, all while coordinating across siloed tools and teams. Mistakes run rampant, and each mistake is thousands of dollars. Even the select fleets using algorithms that have fleet-wide context struggle: the outputs are rigid, hard to interpret, and are blind to real-world nuances like driver preferences and schedule exceptions. Fleetline solves this by combining advanced optimization with LLMs that can easily adapt algorithms to each fleet’s needs and capture driver-specific information. The result is smarter planning truly optimized for every fleet and its drivers.[9]
Backers
Bloomberg Beta
Early-stage investment firm backing companies that make business work better.
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