Ulu Ventures

Ulu Ventures is a Palo Alto, California-based seed and early-stage venture capital firm that backs technology-driven startups across the United States. Founded in 2008, it focuses on internet-enabled consumer and business services and a broad range of sectors including EdTech, FinTech, healthcare, sustainability, enterprise IT, SaaS, IoT, digital media, mobile, agtech, and marketplaces. The firm emphasizes backing diverse entrepreneurial teams and typically engages in co-investments with other investors to pursue meaningful exits. It is described as the first Latina-led venture fund in Silicon Valley and is among the larger seed-focused vehicles in the region.

Kathy Chen

Partner

Kevin Hoffberg

Venture Partner

Clint Korver Ph.D

Co-Founder and Managing Director

Stephen Malinak

Venture Partner

Steve Reale

Venture Partner

Past deals in Data Visualization

MarkovML

Seed Round in 2021
MarkovML is a data-centric MLOps platform tailored for teams involved in building machine learning products. The company specializes in developing collaboration software that manages and analyzes data, evaluates models, and monitors production processes. With a focus on automating key aspects of the machine learning workflow, MarkovML provides low-code tools that facilitate the creation, consumption, and analysis of AI-driven insights. This platform is designed to enhance decision-making capabilities, enabling businesses to derive value from their data throughout the entire machine learning product lifecycle. By offering an intuitive interface for saving and sharing models, experiments, and datasets, MarkovML empowers teams to achieve superior performance and deliver an optimal experience for stakeholders.

MatrixDS

Convertible Note in 2018
MatrixDS is a technology company specializing in data science and analytics. It offers a unified cloud-based platform designed to streamline data projects of any size, from simple dashboards to complex deep learning models. The platform is tailored for small and medium-sized businesses, providing advanced features typically reserved for large enterprises. MatrixDS operates on a freemium model, fostering a community where users can create and share public projects. This approach not only encourages collaboration but also drives user engagement through network effects. The company generates revenue through licensing agreements and cloud infrastructure services for corporate clients.

TeachFX

Seed Round in 2017
TeachFX develops a smartphone and web application that records classroom lessons and uses machine learning to analyze the balance of teacher and student dialogue. The platform automatically generates feedback for educators, highlighting areas where student engagement can be increased and providing data for reflection and improvement. It supports goal setting, progress tracking, and aggregates classroom data to inform instructional leadership. By offering private, actionable insights, TeachFX helps schools and districts enhance teacher development, streamline professional development resource allocation, and promote more meaningful and equitable classroom conversations.

Ravel Law

Series A in 2016
Ravel Law, Inc. operates a legal analytics platform that provides tools for lawyers to find, contextualize, and interpret legal information, transforming data into actionable insights. Founded in 2012 and based in San Francisco, California, the company offers a suite of analytical research tools, including court, judge, and case analytics, along with interactive visualizations. These resources are designed to assist attorneys, law students, and legal professionals in analyzing and understanding legal data effectively. By providing data-driven insights, Ravel Law enhances the way legal practitioners prepare for litigation and navigate complex legal landscapes. The company operates as a subsidiary of LexisNexis Legal & Professional Inc., having spun out from Stanford University’s Law School, Computer Science Department, and d.school.

SLICeR

Seed Round in 2015
SLICeR is a platform offering analytics solutions tailored for the fashion and apparel industry. It enables businesses to monitor performance and generate insights through various outputs like posters, line books, range plans, mood boards, reports, and reviews.

InsideMaps

Seed Round in 2014
InsideMaps Inc. is a technology company that specializes in creating photorealistic 3D models and floor plans of home interiors, facilitating an enhanced visualization experience for potential home buyers and homeowners. Founded in 2013 and based in Mountain View, California, InsideMaps offers a user-friendly smartphone and tablet application that allows users to generate immersive, web-based 3D environments of their homes. This platform enables users to experiment with virtual interior design, including changing paint colors, flooring, and arranging furniture, as well as customizing retailer offerings. By combining high-definition photography with detailed floor plans, InsideMaps provides clients and real estate owners with comprehensive tools for visualizing properties and planning interior improvements.

Comprehend Systems

Series A in 2013
Comprehend Systems, Inc. is a Redwood City, California-based company that specializes in cloud-based continuous quality solutions for clinical operations. Founded in 2010, the company offers a comprehensive suite of clinical intelligence applications designed to enhance the efficiency, safety, and quality of clinical trials. These applications cater to clinical operations executives, data managers, and medical monitors, providing tools for portfolio monitoring, continuous quality assessment, collaboration with contract research organizations (CROs), and risk and medical monitoring. Comprehend Systems aims to deliver actionable insights across studies, systems, sites, and vendors, thereby improving the overall clinical trial process. In 2019, it became a subsidiary of Saama Technologies, Inc.

Ravel Law

Seed Round in 2012
Ravel Law, Inc. operates a legal analytics platform that provides tools for lawyers to find, contextualize, and interpret legal information, transforming data into actionable insights. Founded in 2012 and based in San Francisco, California, the company offers a suite of analytical research tools, including court, judge, and case analytics, along with interactive visualizations. These resources are designed to assist attorneys, law students, and legal professionals in analyzing and understanding legal data effectively. By providing data-driven insights, Ravel Law enhances the way legal practitioners prepare for litigation and navigate complex legal landscapes. The company operates as a subsidiary of LexisNexis Legal & Professional Inc., having spun out from Stanford University’s Law School, Computer Science Department, and d.school.

Trefis

Angel Round in 2008
Trefis is a stock analysis service that breaks down a stock price by the contribution of a company's major products and businesses. It uses an interactive model allowing users to adjust underlying assumptions, such as future market share, to forecast product prices and recalculate stock targets accordingly.
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