A €75M Bet on AI Factories: How OSS Ventures Is Building the ‘Sequoia of Industrial SaaS’

2026-02-27 · Source: The French Tech Journal · Field: Business & Management — Entrepreneurship & Start-ups, Corporate Strategy & Leadership, Industrial AI & SaaS · Depth: Fundamental Awareness, medium

Summary

OSS Ventures, a Paris- and Boston-based venture studio founded by Renan Devillieres, aims to become a leading industrial software startup builder across Europe and the U.S. The firm employs a "born in the factory" approach, conducting full-day audits and factory visits to identify pain points before developing AI-driven software solutions. OSS Ventures recently closed its latest fund at €44 million, targeting €75 million, to accelerate its portfolio companies. Over five years, it has launched 30 startups, with 11 reaching Series A and 4 reaching Series B. Examples include Fabriq, which monitors real-time factory operations, and Kraaft, an AI that processes WhatsApp messages for construction site data. The company focuses on agentic systems that drive decisions rather than just monitor operations, with new ventures like Parsio for procurement savings and Vela for CEO decision support. OSS Ventures emphasizes a reality-first, frugal approach, respecting the workforce and solving tangible problems.

Key takeaway

For executives overseeing industrial operations, understanding OSS Ventures' "born in the factory" approach is crucial. Your teams should prioritize software solutions that emerge directly from shop floor needs and deliver tangible productivity gains, rather than abstract tools. Focus on agentic AI systems that structure and drive decisions, as these are proving to be the next wave of value creation in industrial SaaS, potentially recovering significant direct spend and improving operational outcomes.

Key insights

Industrial software development thrives by deeply embedding in factory operations to solve real-world problems with AI.

Principles

• Software must address critical operational pain points.
• Frugality and sustainable growth are key for industrial SaaS.
• AI should drive decisions, not just monitor data.

Method

Begin with factory audits, identify 15 top pain points, use AI to pinpoint software solutions, then recruit founders and provide initial clients and teams.

In practice

• Implement AI for real-time anomaly detection in factory data.
• Automate data entry from informal communication channels like WhatsApp.
• Utilize AI to identify procurement savings in technical spend.

Topics

• Industrial SaaS
• Venture Building
• AI Applications
• Factory Automation
• Agentic Systems

Best for: Executive, Investor, Entrepreneur, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by The French Tech Journal.