Demo with your own data

Complete the form below and a representative for Sigma IQ will reach out to you to schedule a demo using your own data against our AI-powered, matching reconciliation engine.

Save Hundreds of Hours on Account Reconciliations

Sigma IQ is the first enterprise-strength matching reconciliation engine built on machine learning.

Our patent-pending technology dramatically reduces the time and resources required for enterprise companies to reconcile accurately, so you can get back to doing.

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Why Sigma IQ Matters to Enterprise F&A and Operations

AI-powered matching reconciliation engine

Whether thousands or millions of transactions, our proprietary patent-pending AI-powered matching engine maximizes your match performance and accuracy. Say goodbye to manual, rules-based matching.

Cloud-based, zero-cost implementation

Our cloud-based solution means you can get up and running in less than a day with no implementation costs. This means you can start reconciling and provides you with a positive ROI from day one while dramatically lowering your implementation risks.

COSO 13 controls, built by design

Our privacy-centric design will keep your business safe and your auditor happy.  We’ve designed Sigma IQ to include COSO 13 controls from the ground up. We also provide built-in tracking/logging at the transaction level to improve audit visibility.

Whether for Dollars or Compliance, Every Transaction Matters

We specialize in high volume, difficult, and complex mission-critical reconciliations requiring precision accuracy and speed.  Sigma IQ's proprietary AI-power is perfect when close enough is not good enough.

Accounts Receivable
Accounts Payable
Bank Reconciliations
Supplier Matching
Point of Sale
Credit Card Reconciliations
Inventory Movements
Invoice Matching
Work Order Transactions
Purchase Order Matching
B&O Tax Collections
Sales Tax
Use Tax
Property Tax Remittances
Electronic Payments
Insurance Premiums
FX movements
Loan Remittances
Fund Administration
Intercompany Reconciliations
TransactionsMedical Billing
3rd Party Payors
Adjustments & Offsets
Billing Codes
Trade Quantities
Tariff Remittances
Freight Matching
Surcharge to Invoice
Insurance Claims
3rd Party Disbursements
Trade Settlement
Bill of Lading
Payment Service Provider
Inventory Receiving
Travel Expense Reporting
Currency Transfers

See it in Action

Outstanding matching performance.  Zero administration overhead.  Lowest Total Cost of Ownership.  Staff friendly intuitive interface. Let us show you why you will love Sigma IQ.

Matching Reconciliation Engine - Machine Learning -  Dashboard

Let Us Show You with Your Own Data

Want to see how Sigma IQ can dramatically improve your matching reconciliations?  Since Sigma IQ requires no implementation, we can demo our patent-pending solution using your actual data.

Schedule a Demo
Reducing Time to Close through AI-driven Reconciliation

According to the APQC General Accounting Open Standards Benchmarking survey (2,300 companies participated) - Cycle Time for Monthly close ranges from 4.8 days or less for the top 25% of companies to 10 days or more for the bottom 25% of performers.

Cost Savings through AI-driven Account Reconciliation

According to a study by Robert Half & the Financial Executives Research Foundation (FERF), only 13% of F&A teams have utilized advancements in technology solutions, with the majority of CFO’s admitting they still struggle with painful aspects of account reconciliation.

Automating F&A and Operations through AI

It's time for finance and accounting operations to move beyond spreadsheets and fragile rules based systems. Next generation technology such as Machine Learning provide specific solutions to hard problems.

A Risk-Adjusted Method Of Software Selection

Software selection for the enterprise is a complicated process that needs a structure in order to be successful. Most standard frameworks deal with the features, pricing and fit but fail to include different risks of implementation and success. This post describes how to add risk to the framework so that your decision is de-risked.

White Paper - CFO's Introduction to AI - Machine Learning - Updated!

Artificial Intelligence (AI) and Machine Learning (ML) are terms we hear a lot in tech and industry press and can be thrown around without context or background. The PR hype accompanying AI/ML should appropriately trigger skepticism among CFOs in terms of business value the technology can generate. Where is the line between hype and reality? To start asking the right questions, it is helpful to understand some key concepts. * This white paper has been updated with new examples and clarity on how machine learning models learn and get updated.

Reducing Credit Card Reconciliation Time While Increasing Match Accuracy Through Intelligent Automation

Credit/Debit cards now account for over 75% of consumer transactions but traditional methods of reconciling the steps in the process haven’t evolved nearly as fast - until now. Traditional tools like Excel driven matching or rules based reconciliation can help in lower volume, simple matching but credit card reconciliation - with it’s raw volume and many different systems in the processing flow - creates unique reconciliation problems that need a new approach. This article describes the process and opportunities for efficiency improvement through intelligent automation.

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