Embeddings Corporation Rapid Website Prototype
Startup creating the foundational layer for AI-powered video-native search.
Role
Project Lead, Designer, Copywriter.
Timeline
< 2 weeks.
Team
Me.
Stakeholders
Co-founders (CEO, CTO).
In collaboration with the co-founders of the Embeddings Corporation, I rapidly explored new styles for their company site in order to support the company's approach towards clients in manufacturing.
At the time, the Embeddings Corporation had several design partners and a 1-page website. After 2 weeks, I was able to provide a multi-page website with forms and domain-specific sales pages.
Update: as of October 2025, the Embeddings Corporation has since closed.
Problem
How might we position the Embeddings Corporation as a technical partner for robotics, geospatial, and software companies?
Outcome
Co-design session to identify characteristics for visuals and copywriting
Deployed website in Framer with open-source images
Rapid prototyping to support the company's strategy
Strategy
Co-design sessions to understand the product and the company's target individual customer profiles (ICPs)
Prototypes
Crafting mid-fidelity visuals to support quick decision-making
Media
Utilizing open-source video and photo sources to focus on robotics, agricultural, and industrial clients
Utilizing co-design sessions to rapidly make major design decisions
Given the short duration of the project, I drew inspiration from potential competitor companies and prospective customers.
Pulling inspiration from companies specializing in construction and robotics.
Experimenting with micro-interactions and video
To align the website with the company's target customers—robotics, construction and robotics companies—I customized open-source images and videos. I also explored using various micro-interactions and animations to capture the end-user's attention
Enhancing the contrast of open-source images and creating on-hover animations.
Splicing open-source videos to represent the company's target industries.
We specialize in taking processes that are human driven and expensive, and automate the boring parts. We create video-analysis pipeline to analyze and search large video datasets to find failure modes, outsource cognition to models, and pull specific scenarios and use cases.
Reflection
This project enabled me to experiment with new visual styles and methods using Framer to create a sales page. Given more time, I would have liked create product-specific pages and validate the design with target users.
