GoComet

GoComet is a Singapore headquartered, AI-native platform for the freight supply chain, used by more than five hundred global brands including Unilever, Schneider Electric, and Yokohama across over seventy countries. Founded around 2016 and led by chief executive Chitransh Sahai alongside co-founders Ayush Lodhi, Gautam Prem Jain, and Mehul Katiyar, the company has raised roughly nine and a half million dollars across four rounds up to a Series B, with backers including Jetty Ventures, August One, Leo Capital, and SGInnovate. GoComet has earned Gartner Peer Insights Customers' Choice recognition and reports rapid growth, and it frames its mission around a shift the industry is making from visibility to intelligence, arguing that knowing where a shipment is matters far less than knowing what to do next.

The platform pairs a suite of freight products with a layer of AI agents, bound together by an architecture called Nova that connects products, agents, data, and off-platform partners into one adaptive workflow. The products cover the shipment lifecycle: GoOrder for purchase order ingestion, GoProcure for carrier selection and live rate intelligence, GoTrack for multi-modal tracking with predictive estimated arrival times, GoShipment for execution and documents, and GoInvoice for reconciliation and three-way match. On top, an AI Centre runs agents such as Incident Lens, which links live port, weather, and geopolitical signals to individual shipments for early disruption detection, Viera, a conversational analytics agent that answers in plain language with context and next steps, and GoVista, an inbox-native agent that reads, classifies, and actions shipment email the moment it arrives. Crucially, the agents run on the customer's own uploaded data, from part catalogs to supplier scores and contract terms, and back every output with evidence.

GoComet positions itself as a modern, AI-native alternative to legacy visibility platforms like project44 and FourKites, sitting at the freight execution and visibility layer rather than trying to be an ERP or a deep planning engine. It integrates with major systems including SAP, Oracle, Navision, and OpenBravo through an API-first architecture. It is a strong fit for shippers and supply chain teams that want autonomous, evidence-backed monitoring and execution across procurement, tracking, and invoice audit. It is a weaker fit for teams seeking deep upstream planning and optimization, open choice of the underlying model, or a self hosted deployment, which are not documented.