AI Fleet
Aifleet (aifleet.com) is a technology-driven, full-stack trucking carrier founded in 2020 and headquartered in Austin, Texas. The company describes itself as the first full-stack, AI-driven carrier, pairing company drivers with proprietary AI algorithms and its own Transportation Management System (TMS) to optimize truck utilization, routing, load matching, fuel usage, and scheduling across the roughly $400B U.S. freight sector. Aifleet emphasizes a driver-centric model — better pay, predictable schedules, and reduced wait times — alongside shipper-facing services with proactive tracking updates and predictive ETAs. It has raised roughly $50M since founding (Series A 2021, venture round 2023, Series B 2024) from investors including Obvious Ventures, Ibex Investors, Volvo Group Venture Capital, Compound, and Heron Rock. Aifleet is a logistics service provider rather than a developer-facing API platform; as of this profile it publishes no public API, developer portal, SDKs, or OpenAPI definition.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles AI Fleet the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — AI Fleet scores 10.2/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile AI Fleet
Each block below is one kind of artifact we hold for AI Fleet. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for AI Fleet — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/ai-fleet · machine-readable index on apis.io