Dark Matter’s Aiva Docs product and data science teams have worked hard over the past few years, creating AI-driven solutions that outpaced the “AI buzz” before it even began. By focusing on automating tedious “stare and compare” tasks, Aiva Docs has achieved remarkable results, significantly boosting accuracy, automation volumes, and product service-level agreement (SLA) delivery over the last three years.
Why this is important to you:
Human document reviewers, especially junior, new, and onboarding staff, often struggle with errors, and in a sea of millions of pages, it’s easy to miss important details. Aiva Docs tackles this head-on, ensuring that classification and data extraction are handled precisely.
As product volumes scale, resulting in increased document volumes, traditional human-only approaches fall short. Scaling requires more people, and consistency across teams becomes a challenge. This limits performance potential at a critical point in business growth. Aiva scales with your product volumes.
Aiva Docs has consistently surpassed 99% SLA accuracy, thanks to AI advancements that drive superior performance and automation improvements.
The takeaway:
Dark Matter’s Aiva Docs product research has shown that a Human + AI approach consistently outperforms human-only solutions in document classification and extraction. The stronger the AI performs and more accurate the AI, the more reliable and efficient your processes become—leading to maximum product accuracy, every time.
