Gaia AI Web Design

This is a web design client project for Gaia AI, an MIT and Harvard startup using LiDAR, computer vision, and satellite data to collect high-quality biomass data in forests. Gaia AI offers a high accuracy and low-cost solution to helping land owners, project developers, and investors understand the timber content and carbon stock of their land.

Timeframe

Feb - Apr 2022 (10 weeks)

Role

UI/UX Designer

Tools

Figma, React, Gatsby

Team

Chelsea Cheng - Project Lead, Designer
Yuhan Liu - Project lead, Developer
Paul Loh - Developer
Arush Mehrotra - Developer
Sumanth Kadiyala - Developer

Problem

3 Major Painpoints

General Confusion

The old website consisted of a single webpage with minimal content. Thus, people don't know what Gaia does when they on the website.

No Further Info

There is no where on the website that leads to the other content that Gaia has such as the demo. There's no where to sign up for "waiting list" to agree to pay x to get y value-add service.

Lack of Passion

Website doesn't tell a story about how the founders came to create Gaia, or why the world needs Gaia.

Design Goal

Communicate Gaia's mission and value proposition as well as attracting potential forest managers for their beta test.

Typography

The simplicity of Lato and Inter helps great a minimal and clean look. Lato is preferred for the larger fonts because of it's more human shape.

Color

For the color palette, we decided to go with nature colors that are uplifting. The primary color is trying to convey the forest imagery. The warm color is trying to communicate the feeling of positivity to help people feel the brightness of Gaia's mission.

Graphics

For the graphics, we used graphics that are people-focused to convey a playful storytelling style. Rounded-icons are used to also give a soft and organic look.

Solutions

Below are several distint improvements we made. To see the full experience, reach out to me at ericdai@sas.upenn.edu

Organic Shapes

Product Demo Showcase

Career Call-to-Action

Storytelling Components

# Thank you for reading!

Thank you to all my teammates Chelsea, Yuhan, Paul, Arush, and Sumanth for the amazing work!