Orby AI Secures $30M to Leverage Generative AI for Automating Your Most Tedious Work Tasks

Orby AI, a startup focused on creating a generative AI platform to streamline tedious enterprise tasks, has secured $30 million in Series A funding. The company also introduced its innovative “large action model” technology, empowering AI agents to learn and automate intricate business processes.

“We are launching our Series A fundraising of $30 million,” said Bella Liu, co-founder and CEO of Orby AI, in a recent interview. “Alongside this, we are unveiling our significant platform technology, the ‘large action model’ — think of it as a GPT-like model, but much larger. It processes actions the model observes and outputs code to automate tasks.”

Orby AI differentiates itself from traditional robotic process automation (RPA) by addressing the complexities often overlooked in conventional solutions. “Traditional systems are mainly rule-based,” Liu explained. “Real-world processes involve numerous scenarios, especially when they become complex. Our approach is fundamentally different; we utilize foundation models and generative AI to automate intricate processes beyond mere rules.”

Introducing the concept of “generative process automation,” Orby AI trains its models using multi-modal inputs, including screenshots, clicks, and keystrokes. This allows the AI to generate scripts and code for workflow automation, while still incorporating human input for feedback and managing exceptions.

Liu shared an example involving Fortune 500 auditors using Orby AI to process millions of employee expense receipts, which typically take 10-15 minutes each to audit. “The auditor simply installs Orby and showcases their workflow. After just one iteration, Orby can generate an automated workflow with underlying code. If it encounters a particularly complex case, it prompts the human auditor for clarification.”

The Series A funding will focus on ongoing product development and market expansion. Orby AI is targeting large enterprises, gaining traction in sectors such as technology, insurance, consumer goods, and real estate, primarily within back-office functions like finance, accounting, HR, and operations.

As generative AI evolves, platforms like Orby AI hold the potential to significantly enhance efficiency and productivity in data-intensive workflows. By integrating large language models with diverse inputs and human feedback, Orby envisions a future where AI collaborates closely with human employees to automate complex tasks.

However, companies must navigate the potential impact of automation on job roles. “I believe this will create more jobs,” Liu asserted. “By automating tasks, we increase the value of human contributions, enabling them to achieve more.”

The $30 million in funding reflects investor confidence in the enterprise applications of generative AI and Orby’s vision. As more organizations seek to leverage this technology, Orby AI aims to position itself as a leader in AI-driven enterprise process automation.