• Crewline AI

  Participated · Seed · Apr 2026

  Crewline AI builds a hardware‑autonomy stack that retrofits standard vibratory rollers into autonomous machines that perform soil and asphalt compaction within geo‑fenced zones. The company has completed site deployments with contractors such as Dynamic Site Solutions and Watts Services, reporting significant reductions in site downtime and doubling productive hours during initial 30‑day trials. Crewline is led by CEO Frederik Filz‑Reiterdank and CTO Mohamed Sadek and is based in San Francisco, California. The startup raised $7.1M in a seed round led by Initialized Capital and Nebular, with participation from Ford Street Ventures, Cocoa, Begin, Entrepreneurs First (EF), Transpose, and various angel investors. Crewline plans to use the seed capital to scale its fleet of self‑driving rollers and aims to deploy 100 units on earthwork jobs within the current year. The company targets retrofitting existing construction machinery rather than replacing fleets wholesale.

• Tenkara

  Participated · Equity · Mar 2026

  Tenkara develops mission-critical infrastructure—software agents—that take on back-office operational work for manufacturing firms, including supplier discovery, procurement, compliance, and freight. The company targets mid-market U.S. manufacturers, citing roughly 600,000 U.S. manufacturing firms and that 98% are small businesses. Founded in 2024 by Benjamin Stern, Jonah Stillman, and Evan Adkins, Tenkara reports signing multiple seven-figure contracts in its first 18 months. The team is based out of HF0 in San Francisco. Tenkara says it will use the new funding to accelerate growth and expand its team as it scales operations.

• Mutable Tactics

  Participated · Seed · Mar 2026

  Founded in 2024 by Colin MacLeod and Enrique Muñoz de Cote, Mutable Tactics builds AI-powered autonomy for robotic systems and is based in London. Its flagship orchestration system, Mastermind, provides edge autonomy that allows robots to continue missions when GPS or communications are lost. The platform uses intent-based control so commanders set high-level objectives while the AI translates those into actions, and it is designed to keep humans in the loop for rules of engagement and ethical constraints. The software is hardware-agnostic and intended to work with low-cost, off-the-shelf drone hardware. The company raised $2.1M in a pre-seed round to validate its technology with two European governments and support continued product development. No revenue, user, or other operating metrics are reported in the article.

• pleasefix.ai

  Participated · Seed · Feb 2026

  Launched in 2025 by Belgian founders Séverine Nolf and Maxime Lahy, pleasefix.ai has built an AI-powered tool that sits inside Microsoft Excel and PowerPoint, allowing users to type plain-English instructions that the software executes automatically. The product targets finance and strategy professionals who spend large portions of their day updating spreadsheets, tweaking slide decks, managing data and preparing reports. By eliminating copy-pasting and extra software steps, the company claims its solution completes tasks up to ten times faster while preserving full audit trails required by finance teams. Unlike generic chatbots or complex no-code platforms, pleasefix.ai differentiates itself by operating natively within tools users already know, requiring no additional training. Near-term plans include expanding integrations, scaling the engineering hub in Brussels and establishing a sales presence in New York to grow its European and U.S. user base. The founders envision the product evolving into the primary execution platform for finance and strategy teams worldwide. The recent capital infusion will be used to accelerate product development, recruit talent and drive user acquisition.

• Vulcan Technologies

  Participated · Seed · Oct 2025

  Founded in 2025 and headquartered in Austin, Texas, Vulcan Technologies has built an AI-powered reg-tech platform that ingests all U.S. statutes, regulations, executive orders, and case law into a unified, agent-navigable database. Its proprietary “legal cartography” algorithms map relationships between legal authorities, enabling users to cut compliance costs, uncover obsolete rules, and automate policy execution. Early adopters include the Virginia Office of Regulatory Management, the U.S. Department of Education, and South Carolina DOGE, with Virginia mandating statewide agency use after positive initial results. The company’s tools also help private-sector firms generate instant compliance roadmaps and comment on proposed regulations. With fresh capital, Vulcan plans to expand its engineering team and deepen penetration into both public- and private-sector markets. Advisors from Stanford’s Hoover Institution and former federal officials lend policy and economic expertise to guide product development. The company positions itself to transform a multi-hundred-billion-dollar regulatory market by replacing costly consulting contracts with auditable AI analysis.

No current team members are available.