Participated · Seed · Apr 2025

Sats Terminal provides a decentralized, Bitcoin-centric financial platform through both its flagship application and specialized SDKs. Its first core product, Borrow, launched in January 2026 and lets users post native BTC as collateral to obtain stablecoins across Ethereum, BNB Chain, Arbitrum, and Base without surrendering custody. A second product, Earn, is slated for release in March 2026 to give users yield-generating opportunities on their BTC holdings. The team is also finalizing integrations with major wallet providers to widen distribution of its services. Beyond product expansion, Sats Terminal plans to leverage strategic partners to embed its technology in broader crypto ecosystems. The company previously secured a $1.7 million pre-seed round in late 2025 led by Coinbase Ventures and Draper Associates. No operating metrics such as revenue or user counts were disclosed in the article.

Participated · Seed · May 2022

Founded by longtime engineer and product designer Michael Sayman, Friendly Apps aims to create a suite of mobile apps that prioritize users' physical and mental health over retention-driven social mechanics. Sayman draws on experience building products at Facebook, Google, Roblox and Twitter and plans to apply those learnings to healthier design choices. The company has not yet launched products; Sayman says he will test multiple product ideas, experiences and design elements before public releases. Early product concepts include an app to help casual users achieve fitness goals and an app to encourage prioritizing real-world relationships. Sayman plans to incorporate perspectives from immigrants and non-tech communities into product development. As a solo founder, he expects to have something released to the public in around six months.

Participated · Series A · May 2022

Concentric offers an AI-powered data inventory and protection platform that catalogs critical information across databases, storage buckets, email, messaging apps and even generative AI chatbots like Microsoft Copilot. Customers link Concentric to their data sources, after which the product finds sensitive items (passwords, private files, audio/video), traces data lineage, and provides recommendations to secure data and meet compliance standards. Concentric creates semantic representations of data rather than storing raw sensitive data, and surfaces anomalous activity for remediation. The company serves customers in industrial manufacturing, insurance and higher education, including Hagerty and DeVry University. Client base growth has been strong, with the company reporting a 300% increase from a year earlier. Management says the product roadmap and partner program will be expanded using new funding, and Concentric plans to grow headcount to 125 by 2025. Concentric AI offers an autonomous data security solution that helps organizations discover, evaluate, and remediate security issues across structured and unstructured content without large analyst teams or end-user involvement. The company targets the $19 billion market for data security, access governance, and loss prevention. Its technology leverages emerging deep learning methods, per the co-founders, to protect content across cloud and on-premises environments. Concentric’s co-founders are Karthik Krishnan (CEO), Madhu Shashanka (Chief Data Scientist), and Shankar Subramaniam (CTO and VP, Engineering). With the new funding, Concentric plans to grow its roster of corporate customers through expanded sales and marketing and to extend its solution to protect an expanding menu of content, locations, and use cases. The company positions itself as an autonomous alternative to labor-intensive data protection approaches.

Participated · Series A · May 2022

Concentric offers an autonomous data-security platform called Semantic Intelligence™ that uses deep learning, Risk Distance™ analysis, and Concentric MIND for AI-assisted model and policy management to discover, evaluate, and remediate risks across cloud and on‑premises data. The solution targets both structured and unstructured content and is used to protect IP, financial documents, PII/PCI, customer data, and other business‑confidential information. Concentric emphasizes automation to reduce reliance on large analyst teams and cites automation’s impact on lowering breach costs. The company says its technology requires less upfront rules or complex configuration compared with traditional approaches. With the Series A financing, Concentric plans to grow its corporate customer base through expanded sales and marketing and to extend its product to cover additional content types, locations, and use cases. It targets the $19B market for data security, access governance, and loss prevention. Concentric offers a Semantic Intelligence solution that leverages deep learning to develop a semantic understanding of unstructured documents and quantify their risk. The product discovers, categorizes and classifies business-critical files across on-premises and cloud stores, and includes native remediation capabilities to proactively fix risky sharing and classification issues. Enterprise customers using Concentric have uncovered millions of unprotected or inappropriately shared documents; the company’s report cites averages of nearly 10 million documents per business, 1.2 million business-critical documents, over 15% of those at risk, non-C-suite employees having access to 90% of business-critical documents, and about 200,000 overshared files (roughly 40 files per employee). The solution integrates with major third-party security tools and data stores to leverage existing security investments. Concentric positions itself as an autonomous layer of data security intelligence to help meet compliance, privacy and risk-management mandates. The company announced a $7.5 million financing from institutional investors as it came out of stealth.

Participated · Series A · Dec 2019

Zippin develops a checkout-free platform that uses AI, deep learning and sensor fusion to enable retailers to eliminate checkout lines and self-scanners. Its patent-pending system tracks products and shoppers via overhead cameras and smart shelf sensors to maintain high accuracy even in crowded stores. Led by co-founder and CEO Krishna Motukuri, the company has offices in San Francisco, Dallas, Toronto and India. Zippin recently closed a $30M Series B and has raised more than $45M in total funding. The company says it will use the new capital to scale its platform and power tens of thousands of stores by 2025. In recent months Zippin has signed numerous new accounts and launched multiple public checkout-free stores, further solidifying its retail technology. Zippin builds cashierless checkout systems for physical retail using a combination of computer vision, AI, and sensor fusion technology. Launched in 2015, the company powers four autonomous public stores and several private pilot stores globally and recently opened an autonomous concession stand at Golden 1 Center. Zippin has developed the "Zippin Cube," a modular, pre-fabricated microstore (300–500 sq. ft) that can be deployed in less than three weeks. The company plans to accelerate store launches for grocery and convenience chains, sports facilities, airports, and other venues. Financially, the business has raised a total of $15 million to date following the recent Series A. Proceeds from the Series A will be used to invest in product innovation, grow the technical team, and expand sales and partnership efforts.