Mercator builds an AI-powered decision layer for global supply chains. Its platform, the Mercator Decision Layer, ingests and validates data from enterprise operations, applies AI-powered reasoning, and supports interactive, scenario-driven decision modeling. The aim is to coordinate critical supply-chain planning and replace fragmented manual processes, spreadsheets among them, with a single system of record and analysis.
The engineering work spans several domains: AI agents, simulation modeling, machine learning and AI reasoning, data ingestion and validation, full-stack and product engineering, and platform infrastructure for scenario-driven interactive systems. Products are aimed at enterprises running complex global logistics and operations, where planning is high-stakes and reliable insights matter more than volume of output.
Mercator operates from San Francisco and is a small engineering team, hiring across full-stack, product, AI and data, and platform infrastructure functions. The company describes its mission as reducing waste in global supply chains, and the team's orientation is toward building interactive systems that replace fragmented manual work in enterprise planning.
