Orby AI Secures $30M Funding to Engineer GenAI for Streamlining Mundane Work Tasks

automate, Generative AI, Orby AI, tedious work tasks


Orby AI, a startup in the field of artificial intelligence (AI), recently announced that it has raised $30 million in a Series A funding round. The company is focused on building a generative AI platform that aims to automate repetitive and tedious enterprise work. In addition to the funding news, Orby AI also unveiled its new technology called “large action model” that powers its AI agents to learn and automate complex business processes.
Orby AI’s Approach to Process Automation:

Orby AI differentiates itself from traditional robotic process automation (RPA) solutions by using generative AI models instead of rule-based systems. Traditional solutions are built based on predetermined rules, which can limit their effectiveness in complex scenarios. Orby AI’s platform, on the other hand, uses foundation models that are generative AI-powered. This means that the models can automate complex processes that are not solely based on predetermined rules. The platform utilizes multi-modal inputs such as screenshots, clicks, and keystrokes to train its large action models. With this approach, the AI is able to generate scripts and code to automate workflows.
Generative Process Automation as the Next Frontier:

Orby AI is coining the term “generative process automation” to describe its new paradigm. Generative process automation integrates the power of large language models with grounded multi-modal inputs and human feedback. This approach allows AI to work closely alongside human employees to automate complex knowledge work. The goal is to improve efficiency and productivity for data-intensive enterprise workflows. By involving human employees for feedback and handling edge cases, Orby AI ensures that the AI system is constantly learning and improving.
Customer Example and Use Cases:

One customer example that demonstrates the capabilities of Orby AI’s platform is Fortune 500 auditors using the technology to audit millions of employee expense receipts. Normally, this process takes 10-15 minutes per receipt. With Orby AI, auditors only need to install the platform and show it what they do. After just one iteration, Orby AI can create a workflow with code behind the scenes. In complex cases, the AI system will ask for human auditor feedback, demonstrating the collaboration between humans and AI in streamlining complex processes.
Investors’ Confidence and Funding:

The recent $30 million funding round indicates that investors are confident in Orby AI’s vision and approach. The funding will be used for continuous product development and go-to-market expansion. Currently, Orby AI is focused on serving large enterprise customers in industries such as technology, insurance, consumer goods, and real estate. The platform sees the most adoption in back-office functions like finance, accounting, HR, and operations.
Implications for Jobs and Roles:

As with any automation technology, the adoption of generative AI in enterprise workflows raises concerns about its impact on jobs and roles. However, Bella Liu, co-founder and CEO of Orby AI, believes that automating work actually makes human employees more valuable. With the automation of repetitive and tedious tasks, humans can focus on higher-value work that requires creativity, critical thinking, and problem-solving skills. The AI system acts as a tool that amplifies human capabilities and enables them to do more.

Orby AI’s generative AI platform and “large action model” technology showcase the potential of generative process automation in the enterprise. By leveraging powerful AI models, multi-modal inputs, and human feedback, the platform aims to automate complex business processes and improve efficiency. With the backing of $30 million in funding, Orby AI is well-positioned to continue developing its product and expanding its market reach. As the adoption of generative AI increases, the collaboration between humans and AI in the workplace will become increasingly important, leading to a future where AI works closely alongside human employees to enhance productivity and drive innovation.

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