
Pillar automates hedging workflows across commodities, foreign exchange, and freight.
Pillar was founded in 2023 in New York by Harsha Ramesh and Chinmay Deshpande. The company raised a $20 million seed round led by Andreessen Horowitz in April 2026, with participation from Crucible Capital, Gallery Ventures, and Uber CEO Dara Khosrowshahi.
Its platform automates hedging workflows for commodity-driven businesses, ingesting contracts, cash flows, inventory, ERP data, spreadsheets, and messages to manage exposure across commodities, FX, and freight.
Pillar is an AI-powered hedging automation platform built for commodity-driven, physical-world operators. It ingests contracts, cash flows, inventory, ERP data, spreadsheets, and messages to analyze exposure across commodities, foreign exchange, and freight.
Users can submit transactions via the web app or WhatsApp, build hedges in real time, execute trades in one click, and continuously track and adjust positions as physical books change.
Commodity, currency, and freight markets are experiencing heightened volatility driven by geopolitical tension, tariffs, supply chain disruption, and currency instability. Physical businesses such as metals traders, recyclers, food processors, and airlines have historically relied on spreadsheets, broker calls, and periodic reviews to manage risk.
Pillar targets this gap by making institutional-style hedging and exposure management accessible to small and medium enterprises, with the stated goal of making hedging as ubiquitous as payments or accounting software.
Pillar links each hedge to a specific transaction rather than a broad monthly estimate, enabling precise 1 metric ton increments and deal-level risk tracking. Workflows can be triggered through natural language on the web app or WhatsApp, reducing dependency on specialist traders.
The platform keeps humans in the loop for approvals, oversight, and complex transactions while automating exposure modeling, hedge construction, execution, and continuous adjustment for midsize operators without full trading desks.