Led · Equity · Apr 2026

nFuse builds a messaging-first B2B ordering platform that converts text, voice, and photos sent over WhatsApp, Viber, or SMS into confirmed orders without requiring a dedicated app or login. Founded by former Coca-Cola operators Stoyan Ivanov and Stefan Radov, the company targets fragmented trade and small retailers in emerging markets and enterprise clients in FMCG categories like beverages, dairy, pet food, and wholesale distribution. nFuse reports adoption rates above 70% among enterprise clients, revenue-per-outlet gains of 15–30%, deployment timelines of about eight weeks, and a target cost-per-order below $1 (a 5x–20x reduction versus traditional channels). Early customers report ordering frequency moving from monthly to weekly. With the core self-ordering flow proven, nFuse plans to expand the product scope into payments, micro-lending and other trade services delivered through the same conversational channel.

Participated · Series B · Mar 2026

Giraffe360 provides an integrated platform that pairs proprietary capture hardware with AI-powered software to create complete property media kits from a single visit. Its system generates HDR photography, virtual tours, LiDAR-based 2D and 3D floor plans, video content, property websites, virtual staging, and social media assets. By consolidating capture-to-delivery workflows into one system, the company aims to accelerate time-to-market for listings and improve listing quality while supporting photographers and real estate agents in growing their business. The company plans to continue developing its AI capabilities and expand product features and geographic operations following the Series B. The article does not disclose revenue, user metrics, or founding year.

Participated · Equity · Dec 2025

Founded in 2020 by father-and-daughter duo Prof. Gordan Lauc and Nikolina Lauc, England-based GlycanAge analyzes glycans—complex sugars that coat cells and many proteins—to read inflammation-linked signals that drive ageing. Its flagship offering is an IgG glycosylation-based “inflammaging” clock that provides a detailed measure of biological age and tracks how lifestyle, environmental factors and chronic inflammation affect health over time. The company is now building indication-specific clinical tools for stress and resilience, cardiometabolic health, weight management and hormones, with plans to package these as products for practitioners. It is also validating diagnostic indications and preparing its first lab-developed tests for hospital and reference-lab use, supported by collaborations with Northwestern University Hospital and Mayo Clinic. A pilot is already live at St Catherine Specialty Hospital in Zagreb, and GlycanAge intends to roll out to more than 10 hospitals across Europe and the Middle East within a year. In Saudi Arabia, a partnership with the King Abdulaziz City for Science and Technology will host the firm’s first local laboratory to serve regional hospital networks. The company has raised at least €11.3 million to date, including a €3.9 million seed round in 2024 and the latest €7.4 million financing.

Led · Seed · May 2025

Thinkpilot offers a purpose-built AI workspace that pairs a collaborative co-pilot with specialized expert agents to help product teams from first idea through final specification. The platform integrates with product stacks including Google Drive, Confluence, Jira, and Linear to pull company context automatically. Pre-built agents support core workflows such as market research, PRD generation, competitor analysis, and user feedback synthesis. The product emphasizes grounding decisions in relevant data, strategy, and user feedback to streamline product work. Thinkpilot was founded in late 2024 and its team brings together expertise in product, AI, and engineering across Europe and the Middle East. The company is backed by LAUNCHub Ventures and launched with a €600,000 pre-seed financing.

Participated · Series A · Apr 2025

Neurolabs offers an Image Recognition as a Service platform that enables field teams to capture store-shelf photos on smartphones and receive near-instant, product-level insights powered by proprietary Visual AI and synthetic-data pipelines. The technology is positioned as a faster, lower-cost alternative to manual retail audits and integrates into enterprise retail tech stacks as a scalable infrastructure layer. Neurolabs says its platform has helped clients cut field operational costs by up to 32% and reduce product onboarding time by 93%. Clients cited in the article include a US soft drinks company, a major European beverage brand, and a UK-based manufacturer. The company is growing its computer-vision engineering team and deepening its commercial footprint across the UK, European, and US markets with plans to scale globally. Management frames the opportunity as addressing an $800 billion problem of inefficiencies in CPG supply chains. Neurolabs offers a no-code/low-code synthetic computer vision platform that helps retailers deploy automation solutions at substantially lower development and deployment cost. The company focuses on precise 3D modeling of everyday physical objects and is compiling a retail 3D repository of roughly 100,000 digital twins of consumer packaged goods. Those digital twins are intended to enable synthetic computer vision across the CPG lifecycle, from manufacturing and distribution to in-store, e-commerce and recycling. CEO and founder Paul Pop highlights the technical challenge of anticipating and reproducing real-life changes in packaging and design, which the company addresses with its synthetic computer vision approach. Neurolabs plans to scale operations and expand its offering to include several consumer packaged goods use cases. Financially, the company raised a €3 million seed round and has raised a total of $4.9 million since 2019. Neurolabs builds a platform that trains object-recognition computer-vision models using solely synthetic (computer-generated) data and delivers models via server deployment or downloadable packages accessible through API calls. The company targets industries such as food service, grocery retail, automotive, smart city, healthcare, manufacturing and agriculture, with many deployments to date in food service for autonomous checkout. Neurolabs claims synthetic-data approaches enable much faster and cheaper model development (up to 20x faster and 100x cheaper versus traditional methods) and offers a no-code interface for RPA/software developers as well as virtual data-generation tools for CV engineers. The startup was founded in August 2018 and has offices in Edinburgh and Cluj-Napoca; it currently has about 10 employees and planned modest hires by end of 2021. Financially, the company reported current revenues under €250k and said it was targeting €1M in revenue by Q1 2022; most of its funding has been used to fund R&D and engineering of the Neurolabs platform.