Led · Series A · May 2026

Texture offers a unified operational layer that connects to AMI, SCADA, batteries, EVs, solar infrastructure, smart thermostats and other systems to consolidate grid data without requiring system replacement. The platform is designed to help utilities identify transformer overloads, voltage anomalies, and outage risks and can make utilities operational within days by organizing disparate data into a single model. Texture has established first-party integrations with over 50 OEMs, including Tesla, FranklinWH, Honeywell, Ecobee, and SolarEdge. Its initial traction has come from utility cooperatives, and Vermont Electric Cooperative is a named customer using the platform to monitor its grid and manage distributed battery systems. Texture announced a partnership with NRTC to deliver DERMS capabilities to co-ops and plans to use recent funding to grow its team and further develop the product, with total funding now about $23 million.

Led · Equity · Apr 2026

Chord builds an AI platform designed to power modern commerce operations by unifying data, operational context, and execution into what it calls a "context graph," a living operational memory of metrics, rules, decisions, constraints, and trade-offs. The company says its platform enables brands to generate insights and immediately take action, compressing workflows that previously required multiple teams into minutes, and that teams are increasingly using Chord in place of traditional BI tools. Chord was built by the team behind Glossier and says customers using the platform collectively represent over $1 billion in annual revenue; named customers include Mr. Beast, Ritual, Ruggable, Rodan + Fields, and Blue Bottle Coffee. The company reports organic expansion within customers and that Copilot usage has tripled as adoption shifts from legacy analytics. With the new funding, Chord plans to accelerate its agent infrastructure development and scale across mid-market and enterprise commerce and retail brands generating $20M–$1B in revenue.

Participated · Series A · Feb 2026

Founded in March 2025 by Mike Witte, Mike Meller, and Graham Yennie, Equal Parts combines capital, operational support, and a purpose-built AI operating system to modernize independent insurance agencies. The platform standardizes data, automates back-office workflows, and frees agency owners to focus on client relationships and sales. Since launch, agencies acquired by Equal Parts have recorded nearly 40 % revenue growth and roughly 50 % bottom-line improvement. The company plans to acquire 25 top-tier agencies in the next year and aims to manage $1 billion in premiums within 24 months. Recent acquisitions include Strategic Insurance (New Mexico) and Austin-based Assurely and Lumen Insurance. By blending technology with the traditional relationship-driven model of insurance, Equal Parts seeks to offer owners an alternative to large corporate buyers while preserving agency culture and autonomy. To date, the company has secured $50 million in acquisition capital to support its roll-up strategy.

Participated · Series B · Oct 2025

Stand is redesigning homeowners insurance for properties threatened by wildfires, windstorms, floods, and other natural catastrophes. Its core offering ties policy pricing and coverage to verifiable mitigation actions—such as hardening roofs or installing fire-resistant materials—thereby lowering long-term risk and premium costs. Proprietary physics-based risk models, first used for wildfire and now extended to wind, enable more granular underwriting and pricing accuracy. Launched just over a year ago, the company has already underwritten $1 billion in insured value in California and is now entering the large, volatile Florida market. Stand touts strong claims management and customer service backed by seasoned insurance, technology, and applied-science executives. The firm operates with support from top reinsurers, positioning it to add capacity as extreme-weather losses climb. Fresh Series B capital gives Stand runway to scale operations, expand product lines, and pursue additional catastrophe-prone regions.

Led · Series A · Apr 2025

Starday uses AI and machine learning to identify unmet consumer needs and then develops shelf-stable products and brands for retail distribution. Its proprietary platform and data tools enable rapid iteration and product launches in months rather than years, and the company has developed four brands with 14 products across them. Products are available at major retailers including Sprouts, Target, The Fresh Market, Walmart, Whole Foods, Kroger, and Hannaford, and via ecommerce platforms such as Amazon and Instacart, with dozens of additional retailers launching in 2025. Retail partnerships and bespoke platform collaborations are central to its strategy: Starday works with retailers to identify whitespace on shelves and create tailored products for local markets. Operationally, the company cites category outperformance—its All Day chickpea protein crunch at Sprouts is outperforming same-store sales and category velocity—and is launching Habeya allergen-free crackers nationwide at Kroger and Hannaford with Erewhon coming soon. Founded in 2021 and based in Scottsdale, Ariz., Starday will use the funding to accelerate retail expansion and deepen partnerships with retailers and CPG brands. Starday builds healthy, sustainable consumer food brands using a data-driven product-development platform that tests concepts, gathers feedback and iterates before launch. Its technology cuts product time-to-market to about six months versus a typical 18 months. The company’s first brand is Gooey Snacks, an all-natural, low-sugar chocolate hazelnut spread made without dairy or palm oil. Starday plans to develop four to five brands in the next 12 months, including another launch later this year. It is remote-first and was started in late 2020 by co-founder and CEO Chaz Flexman; the team currently has four employees with plans to expand to seven soon. The $4M seed raise will fund additional brand launches, team growth, new retail partnerships and further buildout of its data and forecasting capabilities.