Participated · Seed · Jul 2026

Skalar is building an AI-native tax and accounting firm that links clients’ financial systems directly to its platform and serves as the official advisor, taking on regulatory registration and professional liability. Founded in 2025 by Björn Goß and co-founders and launched out of Munich in 2026, the company combines AI agents with in-house tax experts rather than selling software to incumbent firms. Skalar reports that automation has increased productivity—claiming one tax expert can serve over 100 clients in automated areas versus about 20 previously—and that it processed more than 1,000 client requests in its first three months. The company has not disclosed headcount or revenue figures. Skalar’s stated plan is to scale its end-to-end firm model using the €12M pre-seed/seed financing to prove that owning liability and client relationships can outcompete AI tools sold to existing firms. It positions itself against better-funded competitors like Basis and Accrual by emphasizing speed, control, and taking direct ownership of client outcomes.

Participated · Seed · Apr 2026

Founded in 2025 and headquartered in Hamburg, Logicc has developed a GDPR-compliant, zero-knowledge AI platform hosted on German servers to serve lawyers, doctors, tax advisors and public institutions. The platform aggregates models such as ChatGPT, Claude and Gemini behind a single secure interface and offers industry-specific functions, bespoke AI assistants and team collaboration features. Logicc surpassed €1 million ARR in just over six months and today counts over 1,800 organisations as customers. The company plans to use the €2.5 million Seed capital to expand the platform further and to execute targeted marketing to reach more compliance-regulated organisations. Founders include Emil Woermann (CEO), Jacob Leffers (CMO), Benjamin Seifert (CRO) and Santiago Martinez-Avial.

Led · Seed · Apr 2026

SolvaPay develops machine-native payment rails and agentic revenue infrastructure intended to enable AI agents to discover, access, and pay for digital services autonomously. Its infrastructure integrates into workflows, APIs, and applications so SaaS providers, API developers, and digital service companies can make products discoverable, consumable, and payable across AI ecosystems such as Claude and ChatGPT. The company plans to use its recent €2.4M pre-seed round to accelerate product development, grow its engineering team, and drive early adoption among businesses. The founding team combines more than fifty years of experience across financial services and technology firms, which the company cites as core to building compliant, high-speed payment rails. SolvaPay positions itself to address interoperability gaps in existing payment systems to support transactions in the emerging agentic economy.

Participated · Seed · Apr 2026

Founded by former McKinsey consultants Arnaud d’Estienne and Mehdi Benseghir, Omniscient provides a unified intelligence layer for senior leadership. Its AI-driven platform aggregates and contextualises data from sources including media, social platforms, and internal systems. A network of specialised AI agents analyses areas such as regulatory developments, supply chains, and competitive activity and synthesises outputs into concise, real-time briefings. The system is designed to operate across multiple markets and languages and to continuously adapt to each organisation’s context. Omniscient is already working with global companies and is expanding capabilities toward predictive and prescriptive analytics. The company recently raised $4.1 million in pre-seed funding to support engineering hires, product development, and commercial expansion.

Participated · Equity · Mar 2026

Unreasonable Labs is a Palo Alto-based generative discovery company that pairs large language models with a neurosymbolic map of scientific knowledge to create an operating system for research and development. Its platform synthesizes unstructured data from multiple fields, proposes novel, validated hypotheses, simulates solutions, and designs lab experiments. An orchestration layer can translate discoveries into executable hardware protocols, ingest experimental data, and close the loop from hypothesis to prototype. This cross-disciplinary engine enables, for example, applying aerospace engineering principles to synthetic biology challenges. The company has already launched pilot collaborations with industrial partners in the energy transition, materials science, and pharmaceutical sectors. Fresh capital will be used to grow the technical team, expand operations, and accelerate product development. Beyond its Palo Alto headquarters, the company maintains an office in Cambridge, MA. To date, Unreasonable Labs has raised at least $13.5 million.