AI “agents” are generative AI models that have the ability to autonomously perform tasks such as transferring information from emails to spreadsheets. They are often praised as “productivity superchargers,” although there are concerns about their propensity for errors. Despite this, a number of founders, analysts, and investors see AI agents as the future of generative AI.
Among these founders are Bella Liu and William Lu, who co-founded Orby AI. Their company specializes in developing a generative AI platform that automates various business workflows, including data entry, document processing, and forms validation.
While numerous startups and established companies offer tools for automating back-office processes, Orby distinguishes itself with its real-time learning capabilities and its ability to comprehend enterprise data patterns.
According to Liu, Orby’s platform observes and learns from human workers’ tasks to create automations for complex workflows. By abstracting lower-level decisions, Orby aims to enhance worker efficiency.
Orby’s solution involves a cloud-based generative AI model that utilizes symbolic AI to solve tasks like expense report validation. Research has shown that combining symbolic AI with traditional AI architectures can enhance scalability.
Liu emphasizes that Orby’s AI model can adapt intelligently to workflow changes, ensuring privacy by encrypting and not storing customer data. The company recently raised $30 million in funding and plans to use it to expand its team and grow its business.
While facing competition from established and emerging players in the generative AI space, Liu believes Orby’s systematic approach to the market will set them apart and lead to continued success.
