Participated · Equity · Aug 2026

Vexev develops an autonomous robotic imaging platform, VxWave, that combines robotics, artificial intelligence and ultrasound to automate vascular ultrasound acquisition. Its initial application is upper-limb imaging for dialysis vascular access, with plans to expand into other vascular disease areas such as cardiovascular and peripheral artery disease. The company reported a 94% scanning success rate for autonomous vascular imaging by non-specialist clinical staff in a multi-site study with U.S. Renal Care. VxWave is an investigational device and Vexev is pursuing FDA 510(k) clearance to enable U.S. commercialization. Vexev has raised $19 million in total funding to date and intends to use recent proceeds to support regulatory activities, manufacturing scale-up and commercialization. The company emphasizes building clinical evidence to support future AI-enabled decision tools.

Participated · Equity · Jul 2026

Hakimo provides an AI-powered physical security platform that uses computer vision to monitor existing camera infrastructure and enable real-time monitoring. The platform aims to help property owners and operators reduce incident response times, lower security costs, and improve safety without requiring a hardware overhaul. Hakimo was founded by CEO Sam Joseph and is based in Menlo Park, California. The company has raised a total of $32 million to date following the $12 million growth round. Hakimo plans to use the new capital to accelerate product development, expand into additional real estate and other markets, enter new geographies, and grow its team. It also intends to broaden its platform to support non-security use cases including safety, compliance, and customer experience.

Participated · Series A · Jan 2026

Ventaris Surgical is a privately held med-tech firm focused on improving kidney stone surgery through a novel ureteroscopic system that minimizes friction in the procedure and helps surgeons attain consistent, complete stone clearance. The company asserts that current instruments make it difficult to reliably remove all stones because of anatomical variation, stone burden, workflow constraints, and surgeon fatigue. By redesigning the toolset, Ventaris intends to boost surgical outcomes while easing surgeon workload. Headquartered in San Carlos, California, the startup is still in the clinical development stage and has not disclosed commercial revenues or user metrics. It plans to use newly raised capital to advance clinical studies and achieve key regulatory and commercial milestones. Board expansion accompanies the financing, adding Varun Gupta (Longitude Capital) and Justin Klein (Vensana Capital) alongside independent director Amir Abolfathi.

Participated · Series B · Dec 2025

Founded in 2021 by former Google X engineer Varun Puri and ex-Apple engineer Esha Joshi, Seattle-based Yoodli uses large language models to create interactive role-plays for sales calls, leadership coaching, interviews, and other high-stakes conversations. The platform lets users practice, receive AI feedback, and keep a human coach in the loop for personalized guidance. Major customers include Google, Snowflake, Databricks, RingCentral, Sandler Sales, and coaching firms such as Franklin Covey and LHH. Yoodli generates most of its revenue from enterprise clients and reports a 900% increase in average recurring revenue over the past 12 months, alongside a 50% jump in role-plays and practice time since its previous round. The system supports multiple LLMs (e.g., Gemini, GPT) and numerous languages, and can be embedded in existing enterprise software or accessed via web browser. With roughly 40 employees, recent senior hires include execs from Tableau, Salesforce, and Remitly. The new capital will fund further AI coaching, analytics, personalization features, hiring across product and research, and expansion in the U.S. and Asia-Pacific regions.

Participated · Equity · Sep 2025

Opticore builds a patented photonic computing chip that uses time-multiplexed computing to encode up to one trillion parameters on a single die while delivering 100 TOPS/W compute efficiency. Its architecture supports dynamic weights, enabling real-time training and inference, and is compatible with standard semiconductor foundry processes for scalable production. The company was founded by Zaijun Chen, Mengjie Yu, and Ryan Hamerly. Opticore plans to commercialize its technology for data-centric AI applications where power and density constraints limit current electronic solutions. With the newly raised $7.5 million in funds, management aims to accelerate product development and move toward manufacturing readiness. The recent financing is the only publicly disclosed round, bringing Opticore’s total known capital to $7.5 million. Although revenue and user metrics were not disclosed, the company positions its chip as a disruptive alternative to traditional electronic accelerators.