Orby provides the Uniphore Business AI Cloud, a platform built with agentic, model, knowledge, and data layers. This infrastructure supports specialized AI suites for customer service, marketing, sales, and people operations. The company leverages Large Action Models and neuro-symbolic reasoning to orchestrate complex business workflows.
Funding
$34.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face challenges in automating complex workflows due to the need for extensive rule definitions and the inability of traditional systems to understand context and intent. This results in repetitive tasks, reduced operational efficiency, and increased time spent on manual processes.
Solution
Orby AI offers a generative AI platform designed to automate intricate enterprise workflows by leveraging a proprietary Large Action Model (LAM). This model enables the system to comprehend context and intent, allowing users to streamline repetitive tasks without the need for extensive rule definitions. The platform observes user actions, learns the steps and intent behind each workflow, and then automates these tasks using generative AI, adapting to new challenges and continuously improving over time. By automating these processes, Orby AI helps businesses reclaim time, improve operational efficiency, and reduce task completion times.
Target Audience
Orby AI targets enterprise teams, particularly in finance, procurement, and shared services, seeking to automate specialized processes and improve operational efficiency.
Features
- Proprietary Large Action Model (LAM) for understanding context and intent in complex workflows.
- Generative Process Automation (GPA) to expand automation capabilities while reducing costs and complexity.
- Multimodal AI agents with neuro-symbolic programming for automating critical enterprise tasks.
- Observational learning to seamlessly keep up with users across tabs and applications.
- Self-learning capability to handle application and UI changes, and user feedback for continuous improvement.
- Resilient automations that result in fewer breaks, lower maintenance costs, and increased efficiency.