Vasuki AI provides an autonomous hedging platform that integrates with ERP/SCM systems to capture physical commodity trades in real time, calculate price exposure, and automatically select and execute optimal derivative contracts via broker APIs. The solution maintains compliance‑ready audit trails, reconciles positions, and offers a dashboard for risk visualization, reducing manual effort and execution errors for commodity‑intensive firms.
Funding
Funding not disclosed
Founders
Product
Problem
Companies that trade physical commodities such as grains, metals, or fuels must constantly manage price exposure, yet hedging remains a manual, specialist‑driven process that requires complex trade execution, ongoing compliance checks, and continuous monitoring. The operational burden often leads firms to hedge inefficiently or avoid it altogether, exposing margins to volatile market swings.
Solution
Vasuki AI delivers an autonomous hedging infrastructure that connects directly to a firm’s ERP or supply‑chain system to capture every physical sale or purchase commitment in real time. The platform quantifies the resulting price exposure, selects the optimal derivative instrument (e.g., futures, options, swaps) using rule‑based and machine‑learning models, and executes the trade through integrated broker APIs. Post‑trade, it maintains a compliance‑ready audit trail, reconciles positions, and updates risk metrics without human intervention. Users access a web‑based dashboard that visualizes exposure, hedge performance, and margin stabilization across the portfolio. By embedding hedging as a continuous service layer rather than an ad‑hoc workflow, the solution reduces operational overhead, lowers execution error risk, and helps firms protect profitability against commodity price swings.
Target Audience
The primary customers are commodity‑intensive manufacturers, agribusiness firms, energy producers, and trading houses that hold physical contracts and need systematic price‑risk mitigation.
Features
- Bi‑directional API connectors for major ERP/SCM platforms (SAP, Oracle, Microsoft Dynamics) that ingest physical trade data automatically
- Real‑time exposure engine that normalizes volume, location, and delivery dates to generate a price‑risk profile in milliseconds
- Algorithmic hedge selector that evaluates futures, options, and swap structures against market depth, liquidity, and cost constraints using proprietary quantitative models
- Automated order routing to multiple broker‑dealer APIs (e.g., CME, ICE, LME) with pre‑trade compliance checks and post‑trade settlement reconciliation
- Continuous compliance module that enforces internal limits, regulatory reporting (e.g., EMIR, Dodd‑Frank), and generates audit‑ready logs
- Interactive risk‑management dashboard with scenario analysis, VaR/ES metrics, and margin impact visualizations
- Role‑based access control and end‑to‑end encryption hosted on a SOC‑2 compliant cloud environment