ClearJet Raises $25M for AI Parcel Network

FinSMEs reports that ClearJet uses AI models to select individual parcel paths based on cost, delivery speed, and geography. Citybiz reports that its network combines commercial airline capacity with software, sorting, staffing, and ground infrastructure, while customers can use national and regional delivery providers.

ClearJet calls the network its "SuperCarrier" model. In a statement published by Edison Partners, founder and CEO Chris Guggenheim said, "Rather than compete with the existing national package delivery services, we work with them. We've created a service that lets retailers build their own parcel delivery network with regional and national carriers of their choice to every zip code nationwide, efficiently and affordably."

Citybiz describes the company's approach as "Air Zone Skip": consolidated e-commerce parcels fly toward destination regions and are then injected into local last-mile networks. The reported operating design differs from a conventional integrated carrier network because it relies on existing airline routes rather than a proprietary air fleet.

Edison Partners and FinSMEs report that ClearJet currently moves more than 30 million packages annually. Edison Partners stated that delivery volume and revenue are each growing approximately 2.5 times annually. In an interview with Crunchbase News, Guggenheim said ClearJet was profitable, that revenue had more than tripled year over year, and that the business was approaching nine figures in top-line revenue.

ClearJet estimates that roughly 1.8 billion U.S. parcels annually are eligible for air movement, according to Edison Partners and Citybiz. The company also claims that its model can reduce shipping costs by as much as 35% and shorten delivery times by one to three days; those performance figures are company claims reported by Crunchbase News and Citybiz, not independently verified benchmarks.

For ML and operations teams, the technical problem is less about a single routing prediction than coordinating a multi-party network with changing flight capacity, handoff times, parcel characteristics, carrier rules, and last-mile coverage. In comparable logistics systems, route-selection models require reliable operational data and optimization constraints alongside predictive models, since a lower-cost route can be unusable if service-level or handling constraints change.

The financing is directed toward network expansion and continued platform investment, according to Edison Partners. Public reporting does not provide technical detail on ClearJet's model architecture, training data, optimization methods, or the metrics used to evaluate routing decisions.