• Skalar

  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.

• General Intuition

  Participated · Series A · Jun 2026

  General Intuition builds a single agentic model that learns spatial-temporal reasoning from hundreds of millions of hours of gameplay and associated action labels provided via Medal. The company uses a frame-by-frame generated world model as a training environment and has demonstrated transfer from gameplay to simulation to physical embodiments such as a quadruped robot and drones. It has a handful of customers in gaming, simulation, and robotics and is pursuing a data flywheel strategy that prioritizes partners capable of providing diverse real-world data. General Intuition recently launched Nerve, a jobs marketplace that lets gamers earn money through tasks like data labeling and robot teleoperation. The firm emphasizes ethical limits on use—declining lethal autonomy—and plans to broaden access to its models via a public API by the end of the summer. Financially, the company has raised $454 million in disclosed funding after the latest $320 million round and is directing most new capital toward scaling compute infrastructure.

• Seltz

  Participated · Seed · Jun 2026

  Seltz builds a purpose-built search stack—owning its web crawler, index, retrieval models, and ranking—targeted at AI agents and chatbots that require machine-ready, citable information. The system crawls hundreds of millions of pages per day, returns results in under 200 milliseconds, and scores and extracts specific passages, tables, or images to supply agents rather than just human-oriented snippets. Founder and CEO Antonio Mallia previously worked on information retrieval in his PhD and at Amazon and Pinecone, and the team includes multiple PhD holders and veterans of Amazon’s AI efforts. Seltz was incorporated in the U.S. and founded last October, operates fully remotely with about 15 employees split between the San Francisco Bay Area and hubs near European universities in Pisa and Leipzig. The company faces a crowded competitive landscape with better-funded peers, but plans to use its seed funding to advance its search stack, hire, and launch enterprise sales. Its advisers and angel backers span technology companies and academic information-retrieval labs.

• Slide

  Participated · Series B · Mar 2026

  Slide provides a FinOps platform designed to give organizations detailed insights, cost allocation, and optimization opportunities for cloud spending. The company positions itself to help teams implement FinOps practices—inform, optimize, and operate—to make cloud costs predictable and accountable across technology, finance, and business stakeholders. Slide’s offerings target challenges such as opaque cloud provider billing and the cost-allocation difficulties introduced by containerized and Kubernetes-based environments. Following its $70 million Series B, Slide plans to expand into the EMEA region and accelerate product development to enhance its capabilities. The financing reflects growing market demand for tools that bridge technical operations and financial accountability in the cloud.

• Polaron

  Participated · Equity · Feb 2026

  Polaron has built an AI platform that links material processing, microstructural features, and performance by training models on microscopy images paired with measured properties. The system automates material characterization, slashing manual analysis time and enabling 3D reconstructions from 2D images while detecting complex microstructural features. On top of this, a generative design layer explores process–structure–property relationships so engineers can identify optimal material configurations and the processing conditions required to produce them across metals, ceramics, polymers, and composites. The platform targets customers in automotive, energy, and other industrial sectors that need faster R&D cycles and better material performance. With fresh funding, the company plans to grow its engineering team and accelerate deployment of its generative design tools. Polaron’s recent $8 million raise provides the financial runway to meet growing demand and continue developing its materials intelligence layer.

No current team members are available.