Participated · Series A · Jun 2026

Founded in 2024 and based in London, Conduct builds AI software that analyses code and configurations across enterprise systems to make legacy ERP systems legible and operable. Its platform uses AI to help companies understand ERP systems, accelerate software changes, support SAP migrations and reduce IT maintenance. Conduct's customers include Daimler Truck, Heidelberg Materials and DHL. The company employs around 35 people and is expanding its engineering and go-to-market teams, including hiring in the U.S. Conduct was founded by three former Palantir employees.

Participated · Seed · Jun 2026

Bayshore offers a platform that turns regulations, policies, and other rulesets into machine-readable code to create deterministic, auditable guardrails for AI agents and compliance workflows. Its system acts as a central entry point for legal and compliance requests, enabling automated handling of low-risk cases and escalation of complex matters to human experts while maintaining consistency across jurisdictions and programs. The platform emphasizes auditability to reduce legal risk and ensure compliance teams can rely on AI-driven processes. Multiple Global 2000 companies are already deploying Bayshore’s solution. The company plans to use the new seed funding to advance the product, expand its team, and deliver custom deployments for highly regulated customers. Bayshore is hiring across AI engineering, legal engineering, and go-to-market roles.

Led · Seed · Jan 2026

GeneralMind is a Berlin-based AI startup founded in 2025 by the team behind German unicorn Razor Group. The company is developing an autonomous AI platform—described as a “System of Action”—that executes end-to-end, repetitive white-collar workflows across commonly used enterprise tools such as email, spreadsheets and ERP software. Its flagship feature, AI Autopilot, functions as a human-supervised assistant that parses unstructured communications and completes routine tasks without manual intervention. The technology is aimed at large enterprises; early customers already include firms listed on the NASDAQ, MDAX and SDAX indices. With a secondary office in Bangalore, the startup intends to leverage a distributed team for engineering and go-to-market execution. Fresh capital will be used to accelerate product development, scale operations and broaden adoption throughout Europe and additional regions. No revenue, user or other operating metrics were disclosed in the articles reviewed.

Participated · Seed · Nov 2025

Avallon develops an AI-native platform that integrates with claims management systems, IVR tools, and data warehouses to handle intake, status inquiries, document triage, and data entry across the entire claims lifecycle. Its multimodal agents can manage phone, email, and file-based interactions, extract and summarize information from invoices and medical reports, and analyze policy terms to flag exposures. Founded in 2025 and based in New York City, the company targets staffing shortages in the insurance industry by off-loading repetitive back-office work. During its incubation in Y Combinator’s Spring 2025 cohort, Avallon’s revenue grew ten-fold, and annual recurring revenue has continued to climb through contracts with administrators in the U.S. and Europe, including Athens Administrators. Management plans to use newly raised capital to hire additional engineering talent and extend its product from workers’ compensation and automotive lines to all property & casualty segments and healthcare. The founding team brings experience from Cornell, MIT, FINN, EY, and Taktile, combining AI, insurance, and enterprise software expertise.

Participated · Seed · Oct 2025

Afori is an AI platform purpose-built for insurance brokers, founded in 2025 by wefox veterans Fabian Wesemann and Sergi Banos. Its initial product is an Outlook-integrated sidebar that reads brokers’ emails and documents, identifies insurance processes, and converts unstructured information into structured cases while delegating tasks to insurance-specific AI agents. The system tackles administrative work that consumes over 60 % of a broker’s time and is reported to save users roughly an hour per day. Built in close collaboration with brokers, it mirrors industry terminology and workflows to let professionals focus on client relationships and growth. The company plans to expand integrations, deepen its AI capabilities, and drive adoption across the German market, with a public debut slated for DKM 2025 in Dortmund. Afori recently secured a €4 million pre-seed round to fund these initiatives. No revenue or user figures have been disclosed to date.