Maximal is a Y Combinator S25 startup building a planning agent for commercial truck fleets. Its AI handles load sourcing, dispatch planning, and real-time re-optimization for logistics carriers, automating decisions that traditionally require manual dispatchers. The company was founded by Leeds Rising, a former early product manager at Alchemy and Golden, and Derek Ye, a former Amazon tech lead and founding engineer at Arpeggi Labs. Maximal is based in San Francisco.
Maximal
ActiveMaximal is a planning agent for commercial truck fleets
Total raised
$500K
1 round
Stage
Seed
Jan 2025
Team
1-10
since 2025
Pricing
—
Founded
2025
San Francisco, United States
Agent-ready
—
AI planning agent built for commercial truck fleets
Automated load sourcing for carriers
Dispatch planning across fleet operations
Real-time re-optimization as conditions change
Automates decisions traditionally made by manual dispatchers
Designed around logistics carrier workflows
Continuous planning that adapts to disruptions
Aims to improve fleet utilization and efficiency
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2025 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What is Maximal?
- Maximal is a Y Combinator S25 company building an AI planning agent for commercial truck fleets that handles load sourcing, dispatch planning, and real-time re-optimization.
- What does Maximal automate?
- It automates decisions that traditionally require manual dispatchers, including sourcing loads, planning dispatches, and re-optimizing in real time as conditions change.
- Who founded Maximal?
- Maximal was founded by Leeds Rising, a former early product manager at Alchemy and Golden, and Derek Ye, a former Amazon tech lead and founding engineer at Arpeggi Labs.
- Who is Maximal for?
- It is built for logistics carriers operating commercial truck fleets that want to automate and continuously optimize dispatch and load planning.
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