Led · Seed · Aug 2026

Bower provides an operating stack for scientists that uses ambient intelligence and integrations with smart glasses and wearables to capture voice, video, images, readings, and workflows and convert them into structured, searchable knowledge. The product acts as an ambient scribe that documents experiments, marks results and workflows, and can guide researchers through checklists and protocols at the bench. The founding team combines product and AI leadership (Michelle MacRae), engineering and knowledge-graph experience (David Lyon), startup scaling experience (James Boysons), and long-standing research domain expertise (Renaud Joannes-Boyau). Bower reports early pilot customers and design partners including Mount Sinai, Southern Cross University, and Mass Affinity Bloodless Diagnostics. The company raised $2M in a Pre-Seed round to deepen work with design partners and early beta users and to prepare to scale in the coming year.

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.

Led · Seed · Jun 2026

Flyweel, founded in 2025 by Reuben Scheckter and Matteo Calo, connects ad platforms, CRM and accounting in real time to give businesses measurable control over advertising investment. Its flagship financial product, Performance Capital, is an embedded lending solution that advances ad spend upfront and is repaid as revenue lands; the company also plans to offer spend cards, wallets and bill pay. Flyweel has already managed more than $110 million in ad spend for nearly 1,000 businesses and plans to launch its financial products in the coming months, initially going direct to the U.S. market where it has seen strongest adoption. The founders bring relevant operating and payments experience: Scheckter previously built and exited a lead generation business and managed over $40 million in ad spend, while Calo led payments engineering at Adyen and Mollie and ran teams processing more than $300 million annually at Semrush. The company positions advertising spend as a financeable investment rather than a pure expense, and its recent $2.41 million pre-Seed raise will fund product launches and U.S. expansion.

Participated · Series B · Jan 2026

Founded in 2020, AutoGrab offers an artificial-intelligence platform that delivers real-time vehicle valuations, sourcing insights, and analytics, positioning itself as “a Bloomberg terminal for the auto industry.” The software identifies a car down to exact variant and market context within seconds, helping insurers, dealers, and fleet managers determine true market value and optimise transactions. The company already counts about 1,000 Australian dealerships as customers and is used by 90% of local motor insurers for total-loss settlements. Cofounders Chris Gardner and Daniel Werzberger split leadership duties, with Gardner spearheading the newly launched London office to drive European expansion while Werzberger oversees Australian operations. AutoGrab plans to channel new capital into growth across the UK, broader Europe, and the Asia-Pacific region, with an eye on complexities such as the influx of Chinese EV brands. Prior to its latest raise, the startup secured a US$5 million Seed round in 2022 and a US$7 million Series A in October 2023, reflecting steady investor confidence. The most recent funding valued the company at US$230 million, underscoring strong traction in both domestic and international markets.

Participated · Series A · Aug 2025

Arintra offers a GenAI-native platform that combines large language models with clinical knowledge graphs to interpret patient charts in context and apply specialty-specific coding guidelines. Every code the platform generates is fully explainable and auditable to build trust in high-stakes healthcare settings. The product integrates natively with Electronic Health Record systems including Epic and Athena and is designed to operate almost invisibly within existing clinical workflows. Leadership includes CEO Nitesh Shroff and CTO Preeti Bhargava. The company intends to use recent funding to accelerate product development and scale its team. Arintra also plans to open a new Bay Area headquarters to meet rising demand. Arintra builds a proprietary AI-driven platform that fully automates the majority of medical coding generation with no human intervention, using models built on top of open-source large language models. The product integrates without changing existing workflows for patients, clinicians, coders, or payers, enabling seamless deployment into hospital billing processes. Arintra’s models are trained on proprietary datasets and are designed to reduce claim denials, under-coding, and long receivable cycles, materially improving hospital revenue and cash flow. The founders, Nitesh and Preeti, hold PhDs (computer vision and computer science) from the University of Maryland and developed the platform over the past two years. The company targets a large, vertical market: US medical coding inefficiencies that the article estimates cost hospitals over $100 billion annually amid ~5 billion claims per year. Arintra builds an AI-powered assistant that automates clinical documentation and billing to help doctors save time and increase revenue. The product targets physician workflow by reducing administrative burden through automated documentation and billing processes. The team combines medical experts and AI specialists to develop the assistant. Arintra reports partnerships with 30+ healthcare organizations. The company states a mission to create the world’s most intelligent assistant for doctors and is positioning to scale that capability. It recently announced accelerator backing from Y Combinator.