The Venture Codex

Led · Seed · Jan 2026

Founded in 2022, Titl is building a unified, digital land registry that streamlines and secures property title verification across fragmented U.S. county records. Its platform harnesses artificial intelligence to surface ownership history, liens, taxes, and code violations in minutes, while an immutable blockchain ledger keeps records tamper-resistant. Core products include TitlReport for four-minute title reports, TitlProduction for automated title commitments, TitlMonitoring for continuous fraud detection, and TitlCheck for pre-listing issue discovery. Customers such as lenders, brokers, and government agencies use these tools to shorten closing times, reduce manual errors, and mitigate cyber-fraud risk. The company plans rapid geographic expansion beyond Florida into Georgia, Maryland, Connecticut, and roughly 20 states by year-end. Financially, Titl has secured a $2.5 million seed round to scale operations and accelerate national rollout. Board involvement from Cofounders Capital brings additional enterprise SaaS expertise to support growth.

Led · Series A · Apr 2025

frontline.io converts 3D CAD files into interactive digital twins and delivers immersive, step-by-step procedures accessible across devices via a no-code interface. The platform offers remote assistance and AI-driven insights aimed at reducing downtime, standardising processes, and improving field performance. It supports mixed-reality formats (AR, VR, MR) and a range of hardware from smartphones to specialist industrial headsets, lowering barriers to adoption. The company raised $10M in a Series A to accelerate expansion in the U.S. and Europe and to deepen R&D capabilities. Enterprise clients include HP Inc. and Stratasys, which the company cites as adopters. frontline.io positions its offering to address labour shortages and rising machinery complexity by combining XR and AI to modernise industrial training and support at scale.

Participated · Series D · May 2023

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.