Participated · Equity · Jan 2025

UVeye is an AI-driven vehicle inspection technology company that provides automated, data-driven diagnostics often described as an "MRI for vehicles". Its product suite includes underbody scanners, tire analyzers, and 360-degree exterior detection systems. Those systems have been installed at hundreds of dealerships, fleet sites, and auction lots globally. Clients include Amazon and General Motors. Led by CEO Amir Hever and based in Teaneck, NJ, the company raised $191M in the latest funding round, bringing total capital raised to $380.5M. UVeye plans to use the funds to expand globally, increase large-scale manufacturing capacity, and strengthen strategic partnerships. UVeye builds automated vehicle-inspection systems that use computer vision and machine learning to quickly and accurately inspect vehicles. The company produces three inspection systems: an underbody scanner, a tire system, and a 360-degree exterior system that can scan moving vehicles in seconds. Since its founding in 2016, UVeye has secured commercial agreements with OEMs and dealers including General Motors, Volvo Cars USA and CarMax and supports dealerships, auctions, insurance companies and commercial fleets. The company employs about 200 people and is based in New Jersey and Tel Aviv, with additional offices in Japan and Germany. UVeye plans to start production of its inspection systems in North America and accelerate sales growth to reach thousands of dealerships, used-car auctions and fleets within the next three years. Management sees longer-term opportunities serving EVs, autonomous and robotaxi fleets for safety and predictive maintenance by combining vehicle sensors with UVeye's capabilities. Financially, the company has raised roughly $200 million since 2016 and its valuation is about $800 million after the latest round. UVeye develops high-speed automated vehicle-inspection systems that combine proprietary algorithms, cloud architecture, artificial intelligence, machine learning and sensor fusion. Its drive-through scanners detect external and mechanical flaws, anomalies, modifications and foreign objects from under and from any side of a vehicle, completing scans within seconds and usable across a vehicle’s lifecycle. The technology was originally developed for the security industry to detect weapons and contraband and is now applied in the automotive industry to find quality issues such as oil leaks, paint scratches, tire damage, brake-line damage and exhaust-system problems. Founded in 2016 and based in Tel Aviv, Israel, UVeye operates facilities in North America, Europe and the Asia Pacific region, with offices in Israel, Japan, Germany and the U.S. The company has 100 employees. UVeye raised $60m in Series C funding and intends to use the proceeds for global expansion. UVeye develops automated vehicle-inspection systems that combine proprietary algorithms, cloud architecture, artificial intelligence, machine learning and sensor fusion to standardize and speed previously manual inspections. Its platforms serve both homeland security and automotive customers across the vehicle lifecycle, including supplier and OEM assembly lines, new-car showrooms, dealership service departments and used-vehicle auction sites. The company has installed systems at assembly plants, auction sites and dealerships around the world and has offices in Tel Aviv, Cleveland and New York, as well as locations in Japan and Germany. UVeye is led by CEO and co-founder Amir Hever and employs more than 100 people. The company says it will use the new funds to accelerate its global expansion plans and to enable Hyundai to deploy UVeye’s products across its operations worldwide. Since it was founded four years ago, UVeye has raised more than $40m from carmakers and other strategic investors including W. R. Berkley Corporation. UVeye develops vertically integrated drive-through scanning systems (hardware and software) that capture exterior, tire and undercarriage images and use computer vision and AI to detect anomalies. Its fully automated platform can read moving cars (up to ~20 mph) and detect cosmetic anomalies as small as 2 millimeters. Customers and use cases include OEMs, rental and used-car companies, insurers, security services, governments and ride-hailing fleets for inspections, claims and lifecycle management. The company is exploring deeper integration with vehicle diagnostics and potential expansion into interior/cargo scanning and logistics/security verticals. UVeye emphasizes full automation to replace manual inspections and continues to optimize its system and scale deployment to meet demand. Financially, the company has raised a new $31M round, bringing total capital raised to about $35M.

Participated · Series D · Oct 2022

Tally built the first automated debt manager to help consumers pay down credit card debt by analyzing financial profiles, offering eligible users a lower-rate line of credit, and automating payments to reduce interest and late fees. The company has paid more than $1 billion in credit card debt for members and saved members $1.2 million in late fees in 2021 alone. Tally reports it nearly tripled its annualized recurring revenue (ARR) in the past year and says its offered lines of credit carry APRs on average 30% lower than members’ credit card APRs. The average Tally member is enabled to get out of debt up to three years faster, according to the company. Tally plans to use new funding to grow the business and further expand its automated debt pay-down system and product offerings. Tally builds automation technology to manage consumers' financial jobs, initially focusing on paying down credit-card debt via its Tally Card service and a new Tally Save savings vehicle. The company says it spent three years building underlying infrastructure that ingests financial data, makes algorithmic decisions and then moves money or lends to execute those decisions. Tally Save is free, in beta, takes roughly 35–45 seconds to set up, and has over 30,000 people on its waitlist. The startup reports it was managing about $250M in total credit-card debt toward the end of last year and is now approaching $400M. Management says it funds assets via the ABS market and uses a network of banks to hold FDIC-insured deposits for Tally Save. Product roadmap priorities named in the interview include student loans, credit-score improvement, preventing overdraft fees, and later expanding beyond debt into retirement and long-term investing. Tally offers an automated app that helps users manage and pay off credit card debt using algorithms and AI. The app debuted on iOS in June 2017 and launched on Android about a year later. Users scan their credit cards and, if they meet a prerequisite credit score (above 660), may be offered a line of credit at rates between 7.9% and 19.9% depending on balances and behavior; Tally prioritizes payments by APR and revolving balance and can consolidate debt into a personal loan funded by banks. The company charges no annual or origination fees, refunds late fees when it makes payment mistakes, and provides features like monthly bill reminders and the Tally Advisor debt-free date calculator. Tally cites operating metrics including 90% one-month retention, roughly one-third of users opting to only manage payments (not take a loan), and a claim that users paying the minimum can eliminate debt in 12 years. The San Francisco–based company, founded in 2015, is available in multiple states and plans to expand to all 50; it recently raised capital to support growth. Tally launched a mobile app that consolidates users' active credit cards and a linked checking account to create a plan to avoid late fees, reduce balances, and minimize interest costs. The app uses algorithms that factor in credit score, balances, promotional rates, and spending behavior to recommend payment strategies and can alert users to due dates and accept payments directly. In some cases Tally offers its own loan at a lower interest rate to accelerate debt payoff. The company says its longer-term goal is to automate payments rather than only nudging users, and it has pursued state-by-state licensing to underwrite loans and make payments on users' behalf. Today Tally is available in California, Florida, Illinois, Ohio, Massachusetts, New York, Texas and Wisconsin and plans to operate in all 50 states by the end of the year. Before launch the company raised $17 million to fund product rollout and broader marketing; Jason Brown is the founder and CEO. Tally provides an app that lets users scan their personal credit cards, run a brief credit check, and authorize Tally to pay those bills from a Tally-issued line of credit. The service is designed to help customers avoid late fees and other card-related charges while offering an APR lower than the average APR on their cards. If customers carry a Tally balance, the company earns interest at that lower APR. Tally has operated in stealth for more than a year, tested its service with beta customers for about three months, and currently has eight employees. The company plans a phased rollout to bring users onto the app and use its Series A to increase awareness. Tally will need to raise institutional capital and form partnerships with financial institutions to fund the lines of credit and prove its customers are good credit risks.

Led · Series C · May 2022

OncoHost develops PROphet®, a machine learning-based host response profiling platform that analyzes proteomic changes in blood samples to monitor patients' biological response to cancer therapies. The company combines life-science research and advanced machine learning to design personalized strategies aimed at overcoming therapy resistance. Led by CEO Dr. Ofer Sharon and based in Binyamina, Israel, OncoHost uses proprietary proteomic analysis to understand individual patient responses. It is expanding clinical trial sites worldwide and broadening research into additional cancer indications. PROphet® is planned for U.S. commercial launch in the third quarter of 2022. The company recently completed a financing that will fund its multicenter PROPHETIC trial and support the imminent U.S. launch. OncoHost is a clinical-stage precision oncology startup based in Binyamina, Israel, combining life-science research with advanced machine learning to develop personalized cancer-treatment strategies. Its core product, PROphet®, is a machine learning–based Host Response Profiling platform that combines proteomic analysis with AI to predict patient response to immunotherapy and suggest combination strategies to overcome resistance. The company analyzes proteomic changes in patient blood samples to detect signs of resistance in real time, enabling biomarker-guided treatment planning and target discovery for drug development. Clinical trials are underway in melanoma and non-small cell lung cancer (NSCLC) patients, with plans to expand to other indications. The company is led by CEO Ofer Sharon, MD. The recently completed financing will support ongoing clinical trials, opening a U.S.-based affiliate, and preparation for the commercial launch of PROphet® to healthcare providers.

Participated · Series B · Dec 2021

Future Meat Technologies develops cultivated meat products (chicken, lamb, beef and pork) using proprietary single-cell lines, serum-free media formulations and stainless-steel fermenters that continuously remove waste and recycle nutrients. The company says its rejuvenating fermenters enable cell densities greater than 100 billion cells per liter, translate to production densities 10-times higher than the industrial standard, and can recycle over 70% of nutrients. Future Meat opened the world’s first cultivated meat production line in Israel earlier in the year and is scouting locations in the United States for a large-scale production facility. Management announced the company reduced the cost of cultivated chicken to $7.70 per pound ($1.70 per 110-gram breast), down from under $18 per pound six months earlier. The company positions its product as non-GMO, antibiotic-free, and more sustainable than traditional meat, and plans to break ground on a U.S. large-scale facility in 2022. Future Meat is headquartered in Rehovot, Israel. Future Meat Technologies builds proprietary technology to produce meat directly from animal cells using rapid proliferation of connective tissue cells in stainless steel fermenters that continuously remove waste. The company says its cultured chicken breast production cost has fallen to $7.50, and a quarter-pound serving is now single-digit cost. Its products combine cultured chicken and plant proteins to replicate the texture and aroma of farm-raised chicken and the company is also developing cultured lamb kebabs and beef burgers. Future Meat highlights the ability to produce cultured fat as an advantage over plant-protein approaches. It plans to market products to consumers and restaurants within 18 months and expects a pilot facility to start production in the first half of 2021 while seeking regulatory approval in several territories. The company emphasizes a non-GMO approach and no genetic engineering in its process. Future Meat Technologies develops a distributive, GMO-free cultured-meat platform that produces meat directly from animal cells without raising or harvesting animals. Its process leverages rapid growth of connective tissue cells (fibroblasts) to reach high densities before converting them to cultured muscle and fats. The company is pursuing hybrid products that combine plant proteins for texture with cultured fats for aroma and flavor, and plans a later line of 100% cultured meat. Current small-scale production costs are reported at $150 per pound for chicken and $200 per pound for beef. Future Meat intends to expand R&D and build a pilot production facility south of Tel Aviv, estimated to begin operations in 2020, with hybrid products targeted for competitive pricing by 2021. The company aims to reach a cost below $10 per pound for 100% cultured meat by 2022. Future Meat was founded in 2018 and is led by CEO Rom Kshuk with Prof. Yaakov Nahmias as Chief Scientist. Future Meat Technologies is developing a manufacturing technology to grow animal fat and muscle cells for lab-grown meat. The technology was first developed in the laboratories of the Hebrew University of Jerusalem and the company is working to commercialize scalable production. Founder and chief scientist Yaakov Nahmias says the team reduced production cost from about $10,000 per kilogram to roughly $800 per kilogram, with a roadmap to $5–10 per kg by 2020. The company says it can produce animal fat without harvesting animals and without genetic modification, which it argues is important for flavor. One of its pilot products is lab-grown chicken that chefs have used in recipes. Future Meat is focused on scaling bioreactors and moving away from reliance on fetal bovine serum to enable mass production.

Participated · Series B · Jul 2021

Silk is a Needham, MA–based cloud platform that delivers database performance and enables enterprises to migrate mission‑critical applications to the cloud. The platform sits between cloud infrastructure and customers' databases to optimize data without requiring changes to databases or applications, and it claims increased performance over on‑prem environments. Customers include eToro and Payoneer. Silk has partnered with major cloud vendors and is a Microsoft Azure IP co‑sell incentivized partner, an AWS ISV technology partner and a GCP partner. Led by CEO Dani Golan, the company raised $55M in a Series B and intends to use the funds to accelerate sales and marketing and expand engineering development. The raise supports Silk’s go‑to‑market and product development plans as it scales its cloud database performance offering.