According to a McKinsey Future of Work report, 60% of jobs have at least 30% of the work that is repetitive and automatable. Much of that work entails processing payments across finance and accounting departments, ticket resolution for customer support, and inputting lead management data for sales teams. 

Orby provides a unique "observe, learn, and automate" end-to-end experience. Orby observes a user’s activities, identifies repetitive work steps and automatically generates code that ultimately automates these tasks. Moreover, Orby works behind the scenes to continuously learn from human feedback, becoming smarter over time with no coding involved whatsoever.


Finance

Payments

Accounting

Orby AI

Bella Liu

Tianye Lu

Tianjun Fu

Terry Zhao

Sanjari Srivastava

Ricky Grannis-Vu

Matheus Dias

Dannielle Dan

Mae Danica Daphne Granado

Chunliang Lyu

Bhavesh Singh

Peter Thalman

The Engineering Team at Orby AI is responsible for developing and maintaining the core technology that enables the "observe, learn, and automate" experience. This includes designing and implementing software systems that monitor user activities, creating algorithms that identify repetitive tasks, and generating automation scripts. Additionally, the team focuses on enhancing the machine learning models to continuously improve Orby's intelligence based on human feedback, ensuring a seamless and code-free automation process for users.

Engineering Team

Engineering Team

About

Team members