Arrakis Technologies raises $38M for agentic AI in industrial sectors
In brief
- Arrakis Technologies raised $38 million across a $7.5M seed round led by Accel and $30M Series A anchored by Blossom Capital.
- Agentic AI solutions target aerospace, energy, logistics, and manufacturing with autonomous decision-making in industrial workflows.
- Post-money valuation of $140 million backed by Datadog CEO Olivier Pomel and OpenAI's Olivier Godement.
- Revenue model ties to demonstrable results rather than software licenses, emphasizing outcome-driven enterprise AI.
- Founded seven months ago by Rafael Quintanilla and Romain Fouilland; dual headquarters in London and Paris.
Funding and Backers
Accel led the initial $7.5 million seed round, while Blossom Capital anchored a $30 million Series A. Other participants in the Series A include GFC, MainObject, and Rerail. Individual backers bring notable heft: Datadog CEO Olivier Pomel and OpenAI's head of business products Olivier Godement both contributed to the round.
SEC filings from mid-July 2026 corroborate the Series A completion at approximately $30.4 million, confirming the announced figures.
The Arrakis Approach
The company is targeting aerospace, energy, logistics, and manufacturing with agentic AI solutions. Rather than selling software licenses, Arrakis ties revenue to demonstrable results—a model that shifts risk from customer to vendor and rewards measurable outcomes.
Rafael Quintanilla, CEO and cofounder, is a former vice president in the industrial sector. He cofounded the company alongside Romain Fouilland. This domain expertise shapes Arrakis' focus: agentic AI that operates autonomously within the constraints and workflows of heavy industry, not generic chatbots or advisory tools.
Naming Clarity
A quick note: this is not Arrakis Finance, the DeFi liquidity protocol. Same name, completely different universe. The startup's focus on industrial automation and agentic decision-making sits firmly outside crypto infrastructure.
Frequently asked questions
What is agentic AI and how does it differ from traditional AI?
Agentic AI deploys autonomous agents that make decisions and take actions within complex industrial workflows, rather than just surfacing insights for humans to act on. It operates independently within defined constraints, unlike advisory tools that require human intervention.
Why does Arrakis tie revenue to results instead of software licenses?
This business model shifts risk from customer to vendor and aligns incentives around measurable outcomes. Arrakis only profits when its agentic AI delivers demonstrable value in industrial operations, not simply from software deployment.
Who are the founders and what's their background?
Rafael Quintanilla (CEO and cofounder) is a former vice president in the industrial sector, and Romain Fouilland is the other cofounder. Their domain expertise in heavy industry shapes Arrakis' focus on aerospace, energy, logistics, and manufacturing automation.
