Participated · Equity · May 2026

Blitzy builds an autonomous software development platform that reverse-engineers enterprise environments, constructs a persistent knowledge graph of codebases, and orchestrates thousands of agents in parallel to execute multi-week to multi-month development projects. The platform integrates state-of-the-art models from providers including Google, Anthropic, and OpenAI, running these models 100,000+ times on each run, and achieved a record 66.5% score on SWE-Bench Pro. Blitzy reports adoption across dozens of Global 2000 customers and says its platform can drive up to 5x engineering velocity for some large enterprises. The company has more than doubled headcount in the past six months and plans to expand its research team, scale go-to-market operations, and broaden partnerships—particularly in regulated sectors like government, financial services, and insurance. Financially, Blitzy raised $200 million in a growth round at a $1.4 billion valuation to fund these initiatives.

Led · Seed · Apr 2026

Nuva Digital develops Nuva Finance, a marketplace-style platform that connects issuers and users of tokenized real-world assets to enable yield generation through vaults. When users deposit stablecoins like USDC into vaults, the platform issues nvAsset tokens representing proportional ownership; vault returns are reflected in nvAsset token prices over time. The platform is self-custodial and initially planned vaults (nvYLDS and nvPRIME) backed by two of Figure Technologies’ on-chain RWA assets: YLDS (a U.S. SEC-registered yielding stablecoin security) and HELOCs, the latter issued by Figure Lending LLC which has funded over $16 billion to date. Nuva Digital is co-incubated by Animoca Brands and Nuva Labs (formerly Provenance Blockchain Labs). The company has announced plans for a NUVA utility token but has not disclosed timing or specific token mechanics. Management has not provided a launch timeline for the Nuva Finance platform.

Participated · Series B · Feb 2025

EnCharge is a semiconductor startup spun out from Princeton that builds analog memory chips and full‑stack AI accelerators aimed at running existing AI models at the edge (laptops, handsets, wearables). The company says its accelerators use about 20x less energy to run workloads compared with other chips on the market and has developed noise‑resilient analog designs and accompanying software. EnCharge expects to have its first chips on the market later this year and is working closely with TSMC to manufacture those devices. The startup focuses on inference rather than training and continues R&D with algorithms that could expand use cases. EnCharge has received non-dilutive support via grants from DARPA and the Department of Defense and counts strategic backers such as In-Q-Tel among its investors. The company is Santa Clara‑based and emerged from stealth in 2022 after nearly a decade of research at Princeton. EnCharge AI commercializes next-generation in-memory computing chips and full-stack AI accelerators that use switched-capacitor analog techniques to deliver large improvements in compute efficiency and density. The company says its technology targets decentralizing AI inference from data centers to phones, laptops, vehicles, and factories. EnCharge was launched in 2022 and is led by co-founder and CEO Dr. Naveen Verma, with Dr. Kailash Gopalakrishnan as CTO. Headquartered in Santa Clara, Calif., the company is building on years of Princeton lab work and prior DoD/DARPA-funded research. Financially, EnCharge has raised $45 million to date and recently announced a $22.6 million funding round to develop next-generation full-stack AI compute solutions. It is also participating with Princeton University in a DARPA OPTIMA-supported multi-year project funded by an $18.6 million grant. EnCharge AI builds custom plug-in hardware on a standard PCIe form factor that uses in-memory computing to accelerate AI workloads for servers and network edge machines. The company’s chips are designed around capacitors rather than transistors to improve robustness against voltage and temperature fluctuations. EnCharge is developing accompanying software to enable customers to adapt different neural networks to the custom hardware and to keep the solution scalable. The firm emerged from research and DARPA- and federally funded R&D that Verma led beginning in 2017 and commercializes those test chips and architectures. EnCharge has roughly 25 employees, is based in Santa Clara, and is pre-revenue. Proceeds from the recent raise will be used for hardware and software development and to support new customer engagements.

Led · Seed · Aug 2024

Arch Lending provides crypto-backed loans to individual and institutional borrowers, taking Bitcoin, Ethereum, and Solana as collateral and emphasizing concierge customer service and a premier product experience. The firm does not rehypothecate collateral and touts security and trust in its lending structure. Arch’s product is designed to deliver a consumer-tech user experience, and the founding team brings experience from Bridgewater Associates, Snapchat, Brex, Google, and Tinder. The company announced a financing package intended to scale with growing individual and institutional demand. The loan facility is structured to expand with additional capital providers and could eventually be securitized. Arch provides the first platform to underwrite a single loan across a borrower’s combined alternative assets, beginning with crypto and planning expansion to public stocks, pre-IPO equity, and real estate. Borrowers can receive loan proceeds in USD or USDC and repay in any combination of the two. Arch takes a regulatory-first, US-compliant approach and caps exposures to any single person or asset. Customer crypto holdings are custodied 1:1 with BitGo; Arch does not touch customer funds. The company has disbursed initial loans totaling $250,000 and aims to build a full suite of financial products and services for investors who hold a large portion of their wealth in alternative assets.

Led · Series C · May 2024

Chain Reaction develops Application Specific Integrated Circuits (ASICs) and related systems optimized for cryptographic calculations, aiming to make homomorphic encryption and other privacy-preserving computations practical at scale. The company also provides cloud data‑infrastructure designs to run privacy enhancing technologies and reduce electricity consumption while speeding compute. Built in stealth for about six years, Chain Reaction has a team of roughly 100 people including alumni from Nvidia, Mellanox, Israeli intelligence and TSMC. Its first customers were data centers and mining operators, and the company says privacy applications in the cloud are the longer‑term market opportunity. Chain Reaction works with TSMC as its sole foundry partner and plans to get its first products to market in Q1 2023. Co‑founders Alon Webman (formerly of Mellanox) and Oren Yokev (longtime Israeli government tech lead) lead the company’s technical and strategic direction.