Participated · Series C · Mar 2026

NoTraffic develops an AI-powered mobility platform that connects and optimizes traffic signals as a cloud-based digital grid to improve efficiency, sustainability, and safety. The company operates a proactive Operations Center offering 24/7 monitoring, remote diagnostics, and over-the-air updates to support agency teams and deployments. Its platform has been adopted by traffic agencies across more than 40 U.S. states and Canada, including deployments in Houston, Phoenix, and Oklahoma. The company is led by CEO Tal Kreisler and is based in Overland Park, KS. Financially, NoTraffic recently completed a $90M Series C to fund expansion of operations and further product development.

Led · Series A · Oct 2022

Resonai leverages enterprise computer vision through its Vera platform to convert physical buildings and properties into a digital infrastructure. Vera enables integration of Internet of Things, artificial intelligence, and augmented reality to power hyper-accurate, location-based applications across the building lifecycle. Use cases include indoor navigation and wayfinding, digital concierge services, enhanced loyalty programs, mixed-reality offerings, and converting properties into 3D digital canvases for personalized AR experiences accessed via mobile devices. The platform targets stakeholders such as property managers, facility managers, and consumers in commercial spaces including malls, retail, entertainment venues, offices, and hospitality settings. Resonai raised $20M in a Series A extension and plans to use the funds to further develop and expand Vera, support sales and marketing, and grow in the U.S., Asia, and Europe. The company is led by CEO Emil Alon and has formed partnerships with firms including Kajima Construction, Takenaka Construction, and GOLDBECK Construction.

Participated · Series C · Mar 2022

Beewise develops the BeeHome™, an AI-driven, solar-powered robotic beehive that enables real-time autonomous treatment and remote management by beekeepers and growers. The company’s BeeHome™ 4 includes Heat Chamber Technology that eliminates 99% of lethal Varroa mites without chemicals. Beewise says all 1,240 BeeHomes currently in operation use machine learning to continuously monitor hive health, and the company reports pollinating 300K+ acres annually for hundreds of growers. Its system combines precision robotics, proprietary software, and machine learning (RNNs, reinforcement learning) to deliver active interventions rather than passive monitoring. Beewise positions the product as a climate adaptation solution to address extreme weather, pesticides, and pathogen threats to bees. The company plans to use new capital to accelerate technological innovation, market expansion, and research in service of its mission to save bees and secure the global food supply. Beewise, founded in 2018, produces the Beehome: a solar-powered automated apiary enclosure that monitors beehives and provides climate control, feeding, and automated harvesting. The company sells the product to farmers on a RaaS model—$400 monthly plus a $2,000 delivery/setup fee—for 24 colonies with ongoing maintenance. The system monitors for issues (including intrusive animals) and adjusts conditions to prevent swarming, aiming to improve yields and pollination and support bee population recovery. Beewise recently unveiled a new Beehome that is 32% smaller and 20% lighter than its predecessor, with faster harvesting and improved feeding and heating. The firm reports thousands of orders placed in the U.S. in the last few months and plans to increase manufacturing and develop additional product iterations. Beewise has raised over $120 million to date, including a recent $80 million Series C to help meet market demand and scale operations. Beewise develops Beehome, a retrofitted shipping-container system that houses ~40 colonies (about 2 million bees) and uses computer vision, robotic arms, sensors, and software to monitor, treat, and harvest hives. Its ML models (trained on thousands of images) detect pests such as varroa mites and a decision-making AI on an Nvidia Jetson platform can quarantine affected hives, control climate, apply targeted treatments, and automatically extract honey. Beehome also detects swarm risk and sends actionable alerts to beekeepers via an iPad app. The product is currently in beta, priced at $15 per hive per month, and Beewise reports a 15-person team with over 40 customers. The company aims to ramp production and contract manufacturers to deliver hundreds to thousands of devices per year, targeting a global market it estimates at 100 million hives (~$14.4B opportunity).

Participated · Series C · Jul 2021

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 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.