Led · Equity · Feb 2026

Founded in 2020 and headquartered in Miami, Quash.ai builds software that refines internal and external data into predictive, institution-specific credit models. Its three core products include an Inclusion Score that incorporates alternative data such as subscription payments and mobile-carrier history, a real-time predictive decision engine that personalizes loan approvals and pricing, and a GenAI-powered credit agent for model simulation and reporting in a compliant environment. The company’s technology aims to move lenders beyond static credit scores toward dynamic, borrower-specific insights. Quash.ai currently employs about 40 people and operates largely remotely. Management projects the platform will be in use at more than 250 financial institutions by 2026, with a near-term focus on serving U.S. credit unions that are struggling to attract younger members. Since inception the company has raised roughly $7 million, including the most recent $2.6 million round that values the business at $35.6 million post-money. The fresh capital will be used to deepen penetration in the credit-union segment and enhance product capabilities.

Participated · Seed · Sep 2025

Curated For You transforms traditional online merchandising by replacing static product categories with dynamic, lifestyle-oriented shopping stories. Its agentic AI synthesizes retailer performance data with external signals such as trends, weather, and local events to create visual, context-rich storefronts. This approach is designed to boost engagement and has reportedly driven millions in incremental revenue for clients including REVOLVE, Lulus, and Steve Madden. The platform promises faster, more profitable customer journeys, positioning itself as a revenue-enhancing tool for fashion and lifestyle retailers. Co-founded by Katy Aucoin and Mary Brendza, the company aims to scale its technology and market presence. Proceeds from its latest seed round will fund expanded operations and continued product development efforts.

Participated · Series A · Aug 2025

Streamline AI provides an AI-powered platform that automates intake, triage, and matter management for busy in-house legal teams. The platform extracts and structures information from incoming emails and includes a conversational AI assistant to handle routine questions that would otherwise consume attorney time. The company is led by Kathy Zhu and Julian Wimbush and is based in Burlingame, CA. Streamline AI intends to use the new funds to accelerate market expansion to meet surging demand from mid-market and enterprise legal departments struggling with manual processes and resource constraints. The Series A brings the company’s total funding to $14M. The product focus and go-to-market plan target legal departments seeking to reduce manual work and improve efficiency. Streamline AI is an AI-powered, no-code intelligent intake platform that delivers visibility and metrics across G&A business units, starting with legal teams. Led by co-founder and CEO Kathy Zhu—who built DoorDash’s commercial legal and legal operations functions—the company launched with a $3.0M seed round in November 2022. The platform automates high-volume request workflows, learns in the background to improve processes, and tailors intake by business function (for example, non-technical teams versus engineering and product). It addresses legal-specific needs around confidentiality, data permissions, control, and measurement without requiring engineering effort. Customers include Branch Metrics, VSCO, a publicly traded fintech, and an $8.7B computer peripherals company. Streamline AI aims to reduce manual work, lower escalations, and increase the bottom line across companies by giving legal and G&A teams better tools and metrics.

Participated · Series B · Jun 2025

dataplor provides global POI and mobility data, combining AI, machine learning, and human validation to keep datasets accurate and current. The company offers monthly refreshed, privacy-compliant foot-traffic data alongside a proprietary POI dataset covering over 350 million POIs in more than 250 countries and territories. dataplor serves dozens of enterprise customers, including multiple Fortune 100 companies, across sectors such as technology, retail, logistics, CPG, mapping, real estate, and finance. Its data is used for operational and strategic decisions—from predicting EV charger demand to modeling property risk and identifying distribution opportunities in under-mapped regions. The company emphasizes a privacy-first approach, ensuring no personally identifiable information (PII) is used. With new capital, dataplor plans to expand geographic coverage, enrich its product suite, and accelerate customer integration and product growth. Dataplor aggregates and licenses global points-of-interest (POI) data using a purpose-built platform that combines AI, machine learning, large language models and a network of human validators. The company recruits and trains over 100,000 human validators, called Explorers, and does not use personally identifiable information. Its dataset includes more than 300 million POI records across over 15,000 brands in 200+ countries and territories. Dataplor licenses data to customers across logistics, real estate and finance, with clients such as American Express, Zettle and PayPal and more than 35 Fortune 500 users. Founded in 2016, the company has grown revenue by an average of 2.5x year-over-year since 2020 and is on track for profitability this year. Dataplor plans to use new capital to make strategic hires and accelerate sales and brand presence to grow faster. dataPlor is a Los Angeles, CA–based provider of business location data focused on growing economies. The company has built a database in México with more than 1.5M data points on brick-and-mortar businesses collected via an on-the-ground field team and diversified sources. Data are verified by humans and continually updated using artificial intelligence and machine-learning technologies. Large companies, including UberEats, iFood, and American Express, use dataPlor data to enhance their business operations. The company plans to use the funds to build out a database product, invest further in technology, hire key personnel, and expand into additional Latin American countries. Target expansion countries listed for 2020 include Brazil, Chile, Peru, Argentina, and Colombia. Dataplor operates a platform that recruits, trains and manages more than 100,000 independent contractors called Explorers to perform feet-on-the-street visits that capture latitude/longitude, photos, hours, owners’ names, contact info and payment acceptance. The company licenses that ground-truth data to customers including American Express, iZettle and PayPal and works in a joint partnership with Google and Virket to digitize Mexico. Dataplor says it has helped get 150,000 businesses onto Google in its three years of operation and employs a 13-person core team. The company emphasizes paying Explorers above-market wages rather than using a low-cost gig model. Dataplor launched in Mexico, bootstrapped its way into Brazil, and plans to expand to Chile, Peru and Colombia in 2019. Its tech and Explorer logistics are positioned as services that could interest platform companies seeking improved local data coverage.

Participated · Series A · Jan 2025

Tradeverifyd provides an AI-driven platform that combines open-source intelligence and first-party data with agentic AI to illuminate supply chains from finished product back to raw materials, offering predictive alerts and real-time monitoring. The platform includes the Tradeverifyd Score™, an objective measurement of a supplier's ability to fulfill orders, and features secure data sharing and automated documentation to support regulatory compliance. Tradeverifyd cites use by large global enterprises and U.S. government agencies such as the Department of Homeland Security and U.S. Customs and Border Protection, and reports client outcomes like avoiding $12 million in one-time costs and a 7x increase in operational efficiency for another customer. The company says it grew year-over-year revenue 10x in 2025. Tradeverifyd will use new funding to expand its go-to-market team and increase customer support headcount to meet rising enterprise demand. The company is headquartered in Bozeman, Montana, with strategic locations globally. Tradeverifyd offers an AI-driven platform that automatically identifies and helps teams mitigate global supply chain risks, with a proprietary Tradeverifyd Score that measures suppliers' ability to deliver and their compliance and financial posture. The solution evolved over the prior year at mesur.io to adapt capabilities developed for government customers to enterprise needs. Tradeverifyd uses LLM-enabled AI agents to scale sourcing and compliance analysis, allowing automated information gathering, analysis, and personalized recommendations informed by subject-matter experts. The product examines suppliers through multiple tiers, including raw-material sources, to surface short- and long-term risks. Management says the company will use the new funding to accelerate go-to-market efforts and improve support for supply chain leaders responding to changing regulations and compliance needs. The company is headquartered in Bozeman, MT and positions itself as a partner for enterprises moving from reactive to proactive supply chain risk management.