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The Velvet Magic Dataroom

Automatically generate a listing for your fund using AI-powered document analysis.

What is private finance?

Private finance is the management of funds and assets for individuals, corporations, and governments through private equity, venture capital, and hedge funds.

What is a fund listing?

A fund listing is a document that describes a fund’s investment strategy, management team, and track record. Up until now, fund listings have been created manually by fund managers.

How do I create a fund listing on Magic?

Simply upload your fund’s pitch deck and other documents, and Magic will automatically generate a fund listing for you.

Create beautiful, dynamic visualizations of your data using natural language.

Show my performance over time

Show potential investors your fund’s performance.

Gain insights into your portfolio.

What is the headcount of each company in my portfolio?

Complex data visualization made simple.

Show me all performance metrics for my fund

How does it work?

Magic uses AI to analyze your documents and extract information.

Magic uses optical character recognition (OCR) to extract text from your documents. Magic uses machine learning to analyze the text and extract information about your fund. Each table in your document is converted to structured data.

AI-powered data visualization.

Using large language models, Magic converts your natural language queries into data visualizations. Complex queries are made possible thanks to code generation.

Our team

Meet Ben Ruckman, a devoted Junior Software Engineer at Velvet Financial Services, specializing in full-stack web development. Ben channels a fervent passion for technology to address real-world challenges in the financial sector, contributing significantly to innovative projects. Beyond coding, Ben is a committed parent to two children, finding fulfillment in balancing family and professional life. Enjoying the immersive world of video games adds a touch of leisure to Ben‘s life. His tenure at Velvet has deepened his commitment to continuous learning and fueled a strong drive for innovation.

Chris Stevenson is a dedicated Data Science B.S. student at the University of Utah, where his academic journey has fueled his passion for technology and innovation. Beyond the classroom, Chris is a versatile full-stack developer, proficient in tackling complex challenges and creating efficient solutions. With a keen interest in the intersection of data visualization and artificial intelligence, Chris has honed his skills in transforming intricate datasets into insightful visual representations. In his professional endeavors, Chris contributes his expertise as a data scientist and software engineer at the cutting-edge Utah fintech startup, Velvet Financial Services. There, he actively engages in developing innovative solutions that leverage data to drive financial insights and enhance user experiences. Outside of his daytime role, Chris showcases his artistic side as the guitarist for the sell-out jazz trio, Art Sound Collective. Chris lives in Sandy, Utah with his girlfriend, two cats, and a dog.

Photo credit: Grayson Whitmore

Jordan Otsuji is a Computer Science B.S. student specializing in Back-End Engineering, with a keen interest in emerging technologies. Throughout his industry experience at companies such as Domo, Inc., Velvet Financial Services, and Aurora Innovation, Jordan has cultivated a wealth of knowledge developing and designing performance-sensitive systems. His experience spans diverse organizational scales, from early-stage startups to Silicon Valley tech companies. At Domo, Jordan contributed to the development of data-intake systems for their business intelligence platform. At Aurora, Jordan redesigned and optimized a segment of the testing suite, resulting in cost savings of $80,000+ per month. Finally, he spearheaded the design and implementation of the back-end/database for the Velvet Magic Dataroom. Beyond his professional pursuits, Jordan enjoys exploring all things technology and experimenting with the capabilities of LLMs both in English and Japanese.