Participated · Series A · Jul 2026

Stabledash presents itself as a crypto and Web3 company aiming to connect blockchain-native ecosystems with traditional fintech and banking. Company leadership emphasized that the new investor mix — including both Web3 specialists and institutions — validates their mission to bridge those two worlds. The firm highlighted that Capital One Ventures publicly participated in the round, noted as a rare public crypto investment by that firm. The available coverage did not disclose revenue, user metrics, founding year, or location. Public comments around the raise focused on strategic alignment with both crypto and traditional finance partners rather than specific product or financial details.

Participated · Series A · Jul 2026

Velocity offers a stablecoin payments and treasury platform designed for global CFOs and treasurers, combining regulated stablecoins with traditional banking rails, compliance, custody, liquidity management and settlement orchestration. The platform aims to enable near-instant settlement, reduce prefunding requirements and improve liquidity management for merchants, payment providers, fintechs and financial institutions. Velocity positions its technology as a bridge between traditional payments/banking systems and stablecoin networks to fit existing treasury workflows. Founded in 2025, the company has raised nearly $50 million in capital since May 2025, including the $38 million Series A. Velocity plans to use the funding to expand its global banking and payments network, accelerate product development and deepen regulatory capabilities to support enterprise adoption.

Led · Seed · Jul 2026

Sherpa builds an AI operating system that manages the full lifecycle of external work — from request to payment — bringing contractors, freelancers, consultants, service providers and AI agents into a single operating model. The platform provides a unified framework for onboarding, compliance, performance management and oversight so organisations can govern both human and AI-driven work. Sherpa positions its product as infrastructure for work orchestration as enterprises combine employees, external workers and AI agents. The company aims to help enterprises and managed service providers streamline processes while maintaining control over data, governance and compliance. Sherpa was founded by Tristan Deschler, Tim Altpeter and Max Lang and is based in Germany. It recently raised $2.2M in a pre-seed round to fund enterprise deployments, integrations and compliance work.

Participated · Series B · Jun 2026

Partly develops frontier AI infrastructure for the automotive parts and repair industry, centered on its Interpreter foundation model. Interpreter was trained over five years using human feedback and synthetic data, incorporates continuous training on live data, and reflects more than fifty manufacturer agreements. Since 2020 the company has combined automotive expertise with AI engineering talent to build models tailored to complex parts systems, logistics, and workflows. Partly announced a U.S. launch and has anchored operations in Austin, Texas, relocating its executive team there. The company plans to use recent funding to expand its U.S. footprint and to recruit engineering, business development, and product management staff. Partly frames its model as the industry's AI infrastructure layer for collision repair.

Participated · Seed · May 2026

Trinio develops a platform that connects critical stages of the purchase journey and logistics operations into a single intelligence layer for large, multichannel retailers. Its recently introduced TrinioOS suite orchestrates checkout, fulfillment and omnichannel processes with support from AI agents. The startup serves over 50 enterprise customers—brands include Vivara, Osklen, Reserva, Asics, Casas e Video, Tania Bulhões, Polishop and Usaflex—and targets retailers with structured digital operations, high order volumes and multiple distribution centers and stores. Clients using Trinio report a 10–15% increase in checkout conversion, about a 25-second reduction in average checkout time, 5–15% reductions in operational and logistical costs and fewer cancellations. Founded in 2022, the company grew revenue approximately eightfold from 2024 to 2025, has about 40 employees (≈70% in product and tech) and expects to reach breakeven within a year. Its near-term plans include intensifying AI and agent capabilities and expanding across Latin America starting with Colombia and Mexico.