ClearDox: Commodities Intelligence Platform

ClearDox is an AI-powered commodities intelligence platform providing intelligent document processing and automation solutions for commodity trading operations.

Overview

Founded in 2018 and headquartered in Stamford, Connecticut, ClearDox specializes in intelligent automation for commodity-intensive businesses. The company employs approximately 28 people and was named FIA Innovator of the Year in 2023. Notable clients include Freepoint Commodities, StoneX, SOCAR, DRW, Occidental Petroleum, Vitol, and ADNOC across energy, agriculture, metals, renewables, oil, and gas sectors.

ClearDox positions itself explicitly as a vertical platform purpose-built for commodities and energy - not a horizontal IDP tool adapted to the sector after the fact. That distinction sharpens the value proposition for commodity trading buyers but limits total addressable market compared to generalist IDP vendors.

Two quantified case studies establish production-grade deployment. Freepoint Commodities (physical merchant: natural gas, oil, power) cut per-employee daily reconciliation time from 30 minutes to 3 minutes - a 10x reduction - by automating reconciliation across thousands of transactions and surfacing only exceptions. StoneX reaches a 90-95% success rate ingesting, normalizing, and rekeying settlement statement data into its ETRM system for its agriculture business line. Both case studies are self-published on cleardox.com; no independent analyst validation (Gartner, Everest Group, IDC) was present in available sources.

The platform has evolved from a document management tool into a broader data and intelligence layer. In January 2026, release 24.05 introduced agentic AI capabilities - autonomous agents that reason, act, and collaborate across commodity business tasks - moving beyond rule-based document processing. The most recent strategic signal is a partnership with BBGC, a CTRM consultancy, pairing ClearDox's automation platform with sector-specific implementation expertise to accelerate enterprise adoption. CTRM consultancies control implementation decisions at commodity trading firms; the partnership extends ClearDox's reach without building a direct sales force for a specialized buyer. No other distribution partnerships were disclosed, which represents a channel dependency risk.

How ClearDox Processes Documents

ClearDox Spectrum provides intelligent document processing using a patented multi-faceted AI approach for commodity-specific data extraction. The platform combines multi-engine OCR achieving 95-99% accuracy on quality scans with AI-powered reconciliation engines that automate trade confirmation matching using predefined templates and rules. It is delivered as cloud-based SaaS, processing PDFs, emails, and images via REST APIs, messaging buses, and SFTP/FTP, combining proprietary technology with third-party LLMs.

Four application modules cover the commodity trade life cycle:

• Trade Confirmation - duplicate and missing trade detection, automated confirmation workflows, noncompliant contract clause flagging
• Finance Optimization - documentary letter of credit verification, incorrect commercial term detection, missing or inconsistent documentation identification
• Operations Intelligence - automated actualization of inventory and movement data, discrepancy detection between load and discharge data, over/under-capacity identification
• Payment Processing - invoice validation, automated settlement, duplicate and incorrect invoice detection, inaccurate accrual identification

The January 2026 agentic AI release added two autonomous agents: Chat Agent with multi-language support and conversational task execution, and Document Process Agent with context-aware monitoring, prompt-driven insight extraction, and configurable status models with automated notifications. ClearDox CoPilot, a contextually aware AI chatbot built on the platform's data foundation, handles ad hoc operational queries and risk analysis. ClearDox AMS handles archived records management with automated destruction notifications when retention periods expire, extending the platform into data governance - a positioning recognized in the UK compliance software market alongside providers like Iron Mountain.

Use Cases

Energy and Commodities Trading

Trading desks deploy ClearDox to automate confirmation document workflows, extracting trade details and matching against internal systems. The Document Process Agent provides context-aware monitoring across commodity trading workflows. Implementation typically completes within 3 calendar weeks.

Reconciliation Automation

Freepoint Commodities reduced per-employee daily reconciliation time from 30 minutes to 3 minutes by automating reconciliation across thousands of transactions and routing only exceptions to human review - a 10x reduction in time spent on routine matching.

Settlement and ETRM Integration

StoneX achieves a 90-95% success rate ingesting, normalizing, and rekeying settlement statement data directly into its ETRM system for its agriculture business line, eliminating manual rekey work at scale.

Commodity Invoice and Letter of Credit Processing

Finance departments process commodity invoices and letters of credit with AI extraction of line items, automated detection of incorrect commercial terms, and validation against contracts.

Data Retention Compliance

Organizations use ClearDox AMS for systematic data governance with automated notifications for archived record destruction when retention dates expire, covering regulated data lifecycle management.

Technical Specifications

No pricing, plan tiers, or benchmark comparisons against competitors are publicly available. Buyers conducting due diligence should note the absence of third-party analyst validation.

Resources

• Website
• Platform Overview
• Freepoint Commodities Case Study
• StoneX Case Study
• FAQs
• Agentic AI Release Coverage - CTRMCenter
• BBGC Partnership Announcement

Company Information

Headquarters: Stamford, Connecticut, United States

Founded: 2018

Employees: ~28

Recognition: FIA Innovator of the Year 2023

CEO: Rick Nelson