The concept of AI “agents” has been gaining traction, with startups like Orby AI leading the charge in developing generative AI models that can perform tasks autonomously, such as copying information from an email and pasting it into a spreadsheet. While the potential for increased productivity is vast, the tendency of models to make mistakes is a significant hurdle. Orby AI’s founders, Bella Liu and William Lu, claim that their platform stands out due to its ability to learn and act on workflows in real-time, understanding patterns and relationships within an enterprise’s unstructured data. With a cloud-based generative AI model fine-tuned to complete customer tasks, Orby’s tech has been successful in trials and has raised $30 million in Series A funding. However, the company faces stiff competition in a crowded sector, and its ability to adapt to changes in workflows while addressing privacy concerns will be crucial to its success.
AI Agents – The Future of Productivity
Orby’s platform observes how workers do their work in order to automatically create automations for complex tasks that require some level of reasoning and understanding.
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