ARGON AI

Person working on a laptop with a financial or data analysis graph on the screen, surrounded by glasses, notebooks, and a plant on a white desk.

As product design consultant on Argon AI's inaugural product launch, I built the design foundation for the AI-driven experience of their pharma and biotech platform.

My Approach

Argon AI needed a foundation that could scale as fast as its ambitions. I built the design system that would support their growth, then worked directly with the founder team to ship AI-driven features on tight timelines without sacrificing quality.

Component Library

I created a detailed component library and style guide, laying the foundation for consistent, scalable design as the platform grew.

Directing Execution

I led design for the engagement, making the core product and design decisions while directing a production assistant on execution, reviewing every deliverable to keep quality consistent as we moved fast.

WHAT I DELIVERED

A computer monitor displaying a research or data analysis software interface with charts and text, placed on a dark desk against a dark, plain background.

Agentic Chat Interface

Designed a conversational interface giving users direct, natural-language access to biomedical and pharmaceutical data, translating complex queries into clear, actionable answers.

Computer monitor displaying a medical transcription application with a list of doctor names, fields, and settings, and notifications about new documents and synthesized papers.

AI-POWERED Conference Calendaring

Built an AI-enabled scheduling experience that helped users navigate conference sessions and connections intelligently, reducing the manual work of planning around a packed event.

A computer monitor displaying a weekly calendar schedule with various appointments, including meetings, sessions, and a profile picture of Danielle Tham.

intelligence-layered File Vault

Designed a personalized file dashboard that organized around how each user actually worked, instead of a one-size-fits-all folder structure. AI suggested file organization, surfaced relevant research and reference material automatically, and got smarter the more someone used it.