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.
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.
Our patent-pending technology dramatically reduces the time and resources required for enterprise companies to reconcile accurately, so you can get back to doing.
Product OverviewSchedule a Demo
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.
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.
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.
We specialize in high risk, 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.
Outstanding matching performance. Zero administration overhead. Lowest TCO. Staff friendly intuitive interface. Let us show you why you will love Sigma IQ.
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.
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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.
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.
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.
For many companies, automating bank reconciliations with Intelligent Automation presents the biggest opportunity for saving time during the financial close process. This post discusses how Robotic Process Automation (RPA) and Machine Learning (ML) can dramatically improve efficiency in this reconciliation process and save your team hundreds of hours of manual processing time.
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.
The journey to CFO can be long and not particularly clear to most people in F&A. Especially that final jump to CFO. While we tend to think that just by keeping our heads down and doing a great job will eventually get us to the rank of CFO, it's never that simple. You need to be thoughtful and strategic to map your way to C-Suite. This post outlines three common paths for achieving CFO status that should help with your planning.
