QuodIQ AI-Powered Intelligence Platform

Intelligence for Institutional Trading.

An LLM-agnostic framework that brings natural language insight to execution analytics, order investigation, report generation, and workflow automation — without moving your data.

QuodIQ AI-Powered Intelligence Platform

Intelligence for Institutional Trading.

An LLM-agnostic framework that brings natural language insight to execution analytics, order investigation, report generation, and workflow automation — without moving your data.

Automated Data-Driven
Order Management (OMS)

Quod Financial OMS is a multi-asset order management system that controls the full order lifecycle, enforces configurable pre-trade risk and compliance, and maintains real-time order state and auditability.


Not a trained model, An intelligence layer

Containerised MCP layer that connects your existing Quod platform to any large language model, hosted by Quod, by you, or by your approved cloud provider. Every consequential decision stays with the trader.


Three tiers of capability

From read-only insight to fully agentic workflow automation, deployed in phases, and each building on the last. AI-driven trading environment where intelligence doesn’t just inform decisions


Not a trained model, An intelligence layer

Containerised MCP layer that connects your existing Quod platform to any large language model, hosted by Quod, by you, or by your approved cloud provider. Every consequential decision stays with the trader.


Three tiers of capability

From read-only insight to fully agentic workflow automation, deployed in phases, and each building on the last. AI-driven trading environment where intelligence doesn’t just inform decisions


QuodIQ Observe

Tier 1 — Live Observes and presents. Zero compliance impact.

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QuodIQ Analytics

Available Natural language execution analytics — venue distribution, SOR performance, benchmark comparison, counterparty fill analysis, and order pace monitoring across equities, FX, and multi-asset execution.

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QuodIQ Investigate

Available AI-powered log and post-trade trace analysis. Surface root causes of CTM mismatches, failed amends, allocation discrepancies, and booking anomalies — compressing hours of manual investigation into a single query.

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QuodIQ Assist

In Delivery Context-sensitive intelligence embedded in the Trading FE — field definitions, how-to guidance, intelligent filters, custom columns, and workflow explanations specific to your deployed version of Quod.


Markets covered

Quod’s OMS supports multi-asset trading across equities (including ETFs and warrants), derivatives, FX, mutual funds, and digital instruments through a single, consistent order-management framework.

Equities

Derivatives

Digital Assets

Foreign Exchange


QuodIQ Trader

Tier 2 — In Development AI-assisted order actions. Trader-initiated.

AI-assisted order actions embedded in the .NET Trading FE. Place, amend, cancel, and monitor orders through natural language — with session-aware context across your live blotter and positions. The trader initiates every action.

Explore QuodIQ Trader →

Markets covered

Quod’s OMS supports multi-asset trading across equities (including ETFs and warrants), derivatives, FX, mutual funds, and digital instruments through a single, consistent order-management framework.

Equities

Derivatives

Digital Assets

Foreign Exchange


QuodIQ Agent

Tier 3 — Roadmap Autonomous execution within defined boundaries.

Agentic workflow automation — triggered by instruction, executed autonomously. Route allocations, manage order lifecycle events, and submit regulatory reports — within the boundaries your institution defines.

Explore QuodIQ Agent →

Markets covered

Quod’s OMS supports multi-asset trading across equities (including ETFs and warrants), derivatives, FX, mutual funds, and digital instruments through a single, consistent order-management framework.

Equities

Derivatives

Digital Assets

Foreign Exchange


Who it’s for

Designed for buy-side and sell-side institutions that require scalable,
configurable order management.
Typical buy-side and sell-side desk needs:

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Banks

Cross-asset controls, configurable governance, auditability, integration flexibility

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Brokers

Client order flow (DMA / care), routing controls, traceability

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Asset Managers

Workflow control, pre-trade gating, post-trade handoff (allocations / matching integrations)

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Hedge funds & trading firms

Real-time control, routing flexibility, modular execution + TCA linkage

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What QuodIQ can answer

Quod OMS combines easy configuration, reliable support, and cost-effective operations into one platform. Firms can integrate smoothly, manage orders with precision, and leverage real-time insights across multiple asset classes—all while reducing complexity and operational costs.

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Execution Analytics

  • "Which venues gave the best execution this week, and how does that compare to last month's SOR distribution?"
  • "Which counterparty fills most orders in this name and at what average price relative to arrival mid?"
  • "What percentage of our SOR flow went to the primary market today, and how much did we internalise?"
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Assist & Report

  • Trace the full CTM allocation and confirmation flow for this block — at which step did it mismatch and why?"
  • "Show all failed amend and cancel attempts on today's orders with their rejection reasons."
  • "What errors occurred in this session? Why was this order rejected by the broker?"
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Post-Trade Investigation

  • "Filter all orders above 500,000 notional and show me average fill price versus arrival mid for each."
  • "Build me an end-of-day report showing buy/sell distribution, total quantities, and price range by instrument."
  • "Run end-of-day allocation, generate the report, and send it to the ops team."

Expert Citations

What Teams Think


DZ Bank logo
vector quotes in orange
Capital Markets in 2025 is at its most competitive. Game changing technology like Quod Financial is available bringing automation and new products / workflows. Yet inefficiency is not only tolerated it is expected. Whole roles existing in brokerage firms to paper over the cracks of OMS inefficiencies instead of actually putting solutions in place to resolve it. As firms like Citadel move into direct competition with brokers, is retaining legacy still a pathway to survival?”Medan Gabbay
CEO, Quod Financial

See QuodIQ
against your own data

Proof of concept deployed against a replica of your production data. Real queries, real execution history, no synthetic data, no mock environment.

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FAQ

Frequently Asked Questions