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Orby AI, a generative AI startup, has raised $30 million to automate complex enterprise workflows, potentially ushering in a new era of AI-powered productivity.

Introducing Orby AI’s “large action model” technology: Orby AI has unveiled its new generative AI platform powered by “large action models” that learn and automate complex business processes:

  • The models take multi-modal inputs like screenshots, clicks, and keystrokes to learn workflows and generate scripts and code for automation.
  • Orby AI aims to differentiate itself from traditional robotic process automation (RPA) solutions by leveraging generative AI to handle complex, non-rule-based processes.
  • The platform still involves human employees for feedback and handling edge cases, creating a collaborative human-AI dynamic.

Generative process automation as a new paradigm: Orby AI is pioneering the concept of “generative process automation” to describe its AI-powered approach to enterprise productivity:

  • The company sees its solution as fundamentally different from traditional RPA due to its use of foundation models and generative AI capabilities.
  • A Fortune 500 customer example showcases auditors using Orby AI to automate the auditing of millions of employee expense receipts, dramatically reducing the time spent per receipt.

Investor confidence in Orby AI’s vision: The $30 million Series A funding round suggests strong investor belief in the potential of generative AI for enterprise applications:

  • Orby AI plans to use the funds for continuous product development and go-to-market expansion, focusing on large enterprise customers across industries like technology, insurance, consumer goods, and real estate.
  • The company is seeing the most adoption in back-office functions such as finance, accounting, HR, and operations.

Broader implications for the future of work: As generative AI advances, solutions like Orby AI could significantly impact enterprise efficiency and productivity, but careful management of the transition and potential job impacts will be crucial:

  • Orby AI’s CEO believes the technology will create more jobs by making humans more valuable and giving them more leverage to do more.
  • However, companies will need to navigate the complex implications of AI-driven automation on jobs and roles, ensuring a smooth transition and leveraging the technology to augment rather than replace human workers.
  • The successful adoption of generative AI in the enterprise will likely require a collaborative approach between AI systems and human employees, with AI handling repetitive tasks while humans focus on higher-level strategic work and edge cases.

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