Square 9

Take the Paper Out of Work

Paper-based work is soul-crushing, profit-sapping, and an anchor on individual, team, and organizational productivity. Paper literally smothers innovation, creating a competitive disadvantage.

Founders Stephen Young, Brian Banet, and Tony Bishop saw the potential for a new kind of software company focused on driving out paper-based inefficiencies in core business functions, and so Square 9 was born.

From its days as an early incubator project in 2005 to its current position as a leading intelligent document processing and management platform, the team at Square 9 have never stopped innovating, driving functionality to meet the challenges for businesses and organisations across multiple industries and sectors.

Thousands of organizations around the globe rely on Square 9 to provide a platform for intelligent document capture, indexing, search integration, and business process automation.

Affordable, Industry Proven Solutions

Previously only affordable to large enterprise corporations, the team behind Square 9 envisioned a way to deliver Enterprise Content Management (ECM) solutions that scaled up and down, allowing small and medium-sized companies to benefit from digital transformation.

Now, with a growing multinational market and a constantly expanding team of industry professionals, Square 9 Softworks continues to push the boundaries of what their solutions can do while even further revolutionizing the ECM industry.

With the launch of Square 9’s cloud hosted Solutions Delivery Network in 2020, they introduced the concept of predesigned, industry proven applications that serve as the foundation for your digital transformation strategy; regardless of organizational size.

From the smallest company to the largest corporation, the goal is to simplify the process of digital transformation like never before while removing any and all obstacles to business automation.

Artificial Intelligence

Artificial intelligence, while once the stuff of science fiction now has a number of widely used applications, ranging from word processing software corrections and art generation to fraud prevention and autonomous vehicle development.

With the assistance of AI, documents can be captured faster and more accurately. This is achieved because of AI’s ability to make decisions based on numerous factors. To capture a vendor name, for example, an AI solution may look for the most likely locations this field may appear on a page and correlate that data with keywords such as “vendor” and “name” among other factors.

For an invoice number, the solution may look for a specific amount of digits with only numeric characters in conjunction with its proximity to any variations of the term Invoice.

But where AI capture differs from its counterparts is flexibility. Without AI, template-less capture is impossible. Each of these many data points must be manually programmed in an OCR template that’s typically bound to a set of hard rules. And it’s not a one size-fits-all situation either as invoices can vary greatly. As a result, it’s not uncommon for multiple templates to be required.

AI solutions, however, carefully weigh a wide range of variables intelligently against each other to determine a match, just as a human would. This flexibility in decision-making ultimately yields far more accurate results than many other forms of capture.

Additionally, by forgoing templates altogether in favour of AI-assisted capture, you can not only save a large amount of money getting started with your solution, but you can also avoid incurring future third party costs down the road.