Orby AI raised $30 million in its Series A funding round, which was co-led by New Enterprise Associates (NEA), Wing VC, and WndrCo, with additional participation from Pear VC. This brings the company's total funding to $35 million.
Orby AI's platform differs from traditional RPA solutions as it uses generative AI and large action models to automate complex processes that are not just based on rules. It leverages multi-modal inputs like screenshots, clicks, and keystrokes to train its models and generate scripts and code to automate workflows, while still involving human employees for feedback and handling edge cases.
Orby AI's "large action model" (LAM) technology is a multimodal AI foundation that leverages neurosymbolic programming and state-of-the-art techniques to quickly and accurately generate actionable workflow automations14. LAMs automate complex, repetitive tasks as workers perform them, enabling AI agents to learn, reason, and act on repetitive enterprise workflow processes in real-time. This technology enhances efficiency, productivity, and reliability in enterprise workflows, addressing the limitations of traditional rules-based automation systems.