Participated · Seed · Jul 2026

Flyboard develops voice agents powered by artificial intelligence aimed at mid-market customers. Its platform includes automatic monitoring systems that detect incidents, generate corrective actions and help iteratively improve agent behavior with AI. The company currently operates in Spain, Germany and Latin America and works with customers such as Grupo Planeta, Dominion, EAE, Elha and Barbiku. Flyboard plans to prioritize growth in the Spanish market before accelerating expansion into other European countries. Following its €1.9 million pre-seed round, the company will invest in sales, operations and engineering hires and accelerate product and architecture development to scale deployments. The funding is intended to increase the company's commercial capacity and enhance its technological and operational architecture for deploying agents.

Led · Seed · Jun 2026

Opereit has developed AI agents that scan transport invoices and operations to detect billing errors, identify losses and damages, submit claims to logistics operators, and manage the automatic recovery of outstanding amounts. The company says its technology targets a structural issue that can cause companies to lose up to 10% of annual logistics spend, a problem it frames as exceeding $1 trillion globally each year. Founded by Pablo Cousin, Opereit began by signing early clients including Amphora Logistics, Nude Project and Ecoalf. With €2.2 million in pre-seed funding, the startup plans to accelerate product development, grow its team, and expand its commercial footprint in Europe. No revenue or detailed operating metrics were disclosed in the reporting.

Participated · Seed · May 2026

Davis develops a platform that integrates regulatory, technical, and market data to generate feasibility studies, floor plans, and spatial layouts for early-stage real estate development. The company uses a generative modelling approach tailored to the built environment to produce structured architectural outputs rather than image-based results. Outputs produced by Davis are reviewed by human experts before delivery to clients. Davis has introduced Gaudi-1, its first proprietary model for automated architectural design under regulatory constraints. The company aims to reduce development timelines from months to days and to increase adoption among developers as it scales. Davis is led by founders Mehdi Rais and Amine Chraibi and recently closed a $5.5M pre-seed round to fund technology development, hiring, and operational expansion.

Participated · Seed · Jan 2026

Founded in 2023 by William He and Yash Pabbisetti, GoCanopy builds an enterprise operating system that applies human-in-the-loop AI to extract and organise data from documents such as offering memoranda, rent rolls and asset-management reports. The platform creates a shared institutional knowledge base that supports deal screening, underwriting and investment-committee preparation, while also handling asset-management tasks like lease-expiry monitoring, rent-review tracking and leasing-opportunity identification. All insights remain traceable to source documents, satisfying transparency and governance requirements for institutional investors. Based in London with an additional presence in Paris, the company targets large real-estate investment teams that struggle with siloed information spread across emails, spreadsheets and disparate systems. GoCanopy plans to use its seed financing to enhance the core platform, open a dedicated London office and scale its commercial and engineering teams for international expansion. The firm has raised €2.1 million to date; no revenue or user figures have been publicly disclosed.

Participated · Seed · Dec 2025

Founded in 2023, Edailabs develops EMMA, a mobile application that enables users to practice English through real-time conversations with a personalized 3D avatar driven by conversational AI. The app provides immediate corrections, operates 24/7, and adapts each learning path via a reinforcement-based personalization algorithm. EMMA has attracted strong early traction, amassing more than 500,000 registered users and 20,000 App Store reviews with an average rating of 4.7/5. Users praise its judgment-free environment, flexibility, and high engagement, turning many into organic ambassadors. Edailabs positions EMMA at the intersection of chatbot AI and immersive 3D to capture a share of the global English-learning market of over 1.5 billion potential speakers. Future plans include adding new interactive scenarios, expanding into additional languages, and entering new geographic markets. This roadmap aims to elevate performance benchmarks within the EdTech sector and cement the company’s status as a global player.