Problem

Palace, whose palace.so product is branded Maximal, addresses the operational bottleneck faced by full-truckload and asset-based trucking carriers: planners must decide which trucks should take which loads and when, while reconciling data across TMS platforms, load boards, ELD systems, customer portals, spreadsheets, and messages. The work is highly contextual and changes continuously as freight, capacity, driver availability, and exceptions change, making manual planning both labor-intensive and economically costly.

The core economic pain is underutilized trucks and missed opportunities to improve revenue per mile without adding dispatch headcount. The killer use case is the carrier’s daily load plan: automatically matching inbound freight to the right trucks and network, then revising that plan when conditions change. Palace’s site claims that its approach can save 80% of planning time and produce a 7% lift in revenue per mile, though those figures are company-reported rather than independently verified.

Product / Service

Palace is an AI-native planning and dispatch platform for trucking fleets, built around a context-aware algorithmic load-planning engine. Its agents connect to a carrier’s existing enterprise systems and communication channels, use that operational context to generate holistic load plans, and aim to improve revenue per mile while reducing planning time. The product is designed to augment the existing team rather than require a wholesale replacement of the carrier’s workflow.

Operationally, the platform scores inbound loads against the carrier’s network, surfaces freight that fits, produces optimized daily plans in less than 60 seconds, and proactively re-optimizes when conditions change. Palace says it can work with imperfect operational data and existing systems, including TMS, ELD, and load-board tools; the commercial motion appears sales-led through a custom consultation, with terms also referring to paid subscription tiers. Because the service is described as beta and its terms require human verification of AI outputs, it remains a human-supervised operational system rather than fully autonomous dispatch.

Market

Palace competes in logistics and supply-chain software, specifically AI-assisted load planning and dispatch for full-truckload carriers. It sits alongside the incumbent trucking technology stack rather than replacing every component: the company references integrations with systems such as McLeod, Trimble TMW, Trimble TruckMate, AscendTMS, Samsara, Motive, Geotab, DAT, Truckstop, and other fleet and freight-data sources. Adjacent or overlapping products include Truckbase, which combines driver availability and ELD integrations with load-planning tools, and Optimal Dynamics, which markets real-time optimization for load planning and dispatching.

The company appears early-stage but funded and active. Y Combinator lists Maximal as a Summer 2025, active San Francisco company with a three-person team, while the company says it is backed by Y Combinator, Switch Ventures, and Twenty Two Ventures. LinkedIn’s embedded Crunchbase data reports a $500,000 pre-seed round dated October 9, 2025. The available evidence does not disclose revenue, customer count, or a named customer roster, so Palace should be characterized as an early commercial-stage startup with product and funding traction rather than as a business with publicly demonstrated revenue traction.