




Conceptualising next-gen AI
Client Overview
Supercharge Labs is a technology company focused on delivering AI-driven solutions that enhance decision-making, automate workflows, and unlock new business models. As part of its innovation strategy, Supercharge Labs conceived Sigmund AI, a platform designed to combine cognitive automation, advanced analytics, and machine learning into a scalable product offering.
Sarah Huang, acting as a fractional consultant, led the build and productisation journey of Sigmund AI — taking the concept from early prototype to a market-ready solution with a clear value proposition, scalable architecture, and defined go-to-market strategy.
Addressable market
The addressable market for Sigmund AI spans multiple verticals where data-driven decision-making is critical. In financial services, the platform can support predictive risk management, fraud detection, and customer insight generation. In healthcare, it has applications in patient journey optimization, diagnostic support, and improving operational efficiency. For enterprise productivity, Sigmund AI enables intelligent process automation, enhances customer engagement, and strengthens knowledge management. With the global AI software market projected to exceed $300 billion by 2030, Sigmund AI’s blend of automation and strategic intelligence positions it to capture opportunities across North America, Asia-Pacific, and Europe.
The Challenge
Supercharge Labs had developed powerful AI models but lacked a clear way to present them as a cohesive, enterprise-ready platform. Without strong messaging, scalable architecture, and a defined go-to-market approach, Sigmund AI risked remaining a prototype rather than becoming a solution clients could trust and adopt.
The Solution
Sarah Huang guided the project of Sigmund AI from concept to market-ready platform. Through stakeholder alignment, she worked with leadership, engineers, and early adopters to define priorities and success metrics. She designed a sharp value proposition that positioned Sigmund AI as a decision intelligence engine, acting as a principal fractional product designer, Sarah oversaw the build of a modular, user-friendly platform, and shaped the commercial framework with pricing, licensing, and go-to-market strategy.
The Impact
The result was a fully defined AI product that moved beyond experimentation to enterprise adoption. Sigmund AI emerged with a clear identity, scalable design, and commercial strategy that gave Supercharge Labs a MVP in less then 45 days, strengthened investor confidence, and opened doors across industries. The project helped the founding team to established grounds in taking Sigmund AI to market globally.
Deliverables
Fractional VP of Product
Empowering executive product leadership
Provided executive product leadership to the founding team, aligning vision, build, and market strategy to launch Sigmund AI as a scalable platform.
Designing Sigmund AI for Adoption
Pricipal Product Design
Shaped the concept into a user-focused platform with intuitive workflows and modular architecture, ensuring Sigmund AI was both scalable and enterprise-ready.
Engineering Collaboration
Building the impossible
Partnered with a single engineer to transform Sigmund AI from concept to reality, proving that vision, focus, and lean execution can deliver enterprise-grade impact.