Auckland, New Zealand

Douglas Clague

This inventor holds 1 USPTO granted patent. Top assignee: Inter Alia LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Douglas Clague. Retrieved from https://idiyas.com/inventor/douglas-clague

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Douglas Clague: Inventor of a Visual AI Workflow Interface

Introduction

Douglas Clague is an inventor based in Auckland, New Zealand. His work includes a patent for a visual interface that supports the configuration and iterative exploration of workflows using artificial intelligence.

Latest Patents

Clague’s patent, “Functional Typed Programming with Visual Artificial Intelligence Development Interface,” describes a graphical user interface for building workflows from multiple functions. The interface enforces compatible data types between a function’s output and another function’s input. At least one function can run a generative artificial intelligence model to produce nondeterministic output.

The patent also describes a graph-based record of workflow versions and execution iterations. Users can return to an earlier version or iteration and generate further output from that point, supporting iterative refinement and exploration. Clague has 1 patent listed in the information provided.

Career Highlights

Clague is associated with Inter Alia LLC. His patented work focuses on making complex AI workflows easier to configure, track, and revisit through a visual development interface.

Collaborations

The coworkers identified in the provided information are Duncan Nimmo and Lincoln Gasking. Their specific roles or contributions to the patented invention were not provided.

Conclusion

Douglas Clague’s patent presents a visual approach to typed workflow construction and AI-assisted experimentation, with version tracking that lets users revisit earlier results and explore new outcomes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…