Vectorspace AI builds datasets that uncover hidden patterns in science, finance, and crypto to accelerate discovery.
System’s
Website
The Play - By - Play
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At Vectorspace AI, I partnered with leadership to imagine how intelligent datasets could reveal hidden connections across science, finance, and crypto. I translated big ideas into actionable design opportunities, helping the team shape a roadmap that expanded potential use cases by 3x compared to the original vision.
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With the vision set, I designed and delivered the systems to bring it to life. I created a scalable Figma design system, prototyped complex data workflows, and worked side-by-side with engineers to ensure pixel-perfect execution. This cut design-to-development handoff time by 40% and made advanced AI outputs usable for non-technical users.
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Once the foundations were solid, I focused on scale. I adapted interfaces for scientists, financial analysts, and crypto investors, while introducing usability testing that boosted task success rates by 25%. By collaborating with product and data science teams, I helped launch features that grew adoption into two new market verticals.
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Sustaining growth meant keeping the product consistent and resilient. I refined the design system, streamlined user journeys, and ensured updates aligned with both brand identity and accessibility standards. These efforts reduced user-reported friction by 30% and supported long-term product evolution without sacrificing quality.
Smart Structure = Smooth Flow
Redesigned SaaS curator interface → streamlined management and refinement of AI-driven knowledge discovery and relationship mapping tools
Simplified complex workflows → improved article extraction efficiency by 30%
Established clear hierarchy and navigation patterns → reduced time-to-task for first-time users by 25%
Introduced modular information architecture → enabled scalability for future features without disrupting core user flows
Applied card-sorting and tree-testing methods → validated IA decisions and improved user confidence in navigation
Implemented breadcrumb trails and contextual menus → enhanced discoverability and reduced navigation errors across the platform
Discovery = Direction
Translated complex bioscience data → into intuitive dashboards, enabling researchers to uncover hidden relationships faster
Simplified multi-tool workflows → boosted adoption of demo solutions like similarity matching and correlation prediction
Standardized interaction patterns → reduced learning curve for new users and increased overall system usability
Designed adaptive interfaces → supported both domain experts and first-time users, expanding the company’s customer reach
Elevated data visualizations → turned advanced language models into compelling insights, strengthening product value for biotech and pharma partners
Accelerated design validation cycles → shortened iteration timelines, helping the company ship features and demos to stakeholders more quickly
Design Rounds = Results
Explored multiple iterations of dashboard and website layouts → refined structure and interactions through continuous prototyping and feedback
Applied user research & testing insights → adapted designs to address workflow complexity and usability needs
Developed three distinct visual directions → Classy (elevated and professional), Consistent (systematic and cohesive), and Edgy (bold and experimental)
Balanced branding goals with user experience principles → ensuring each option aligned with both product functionality and company identity
Delivered final design recommendations → enabling stakeholders to evaluate trade-offs and select the best path forward
Consistent
Classy
Edgy