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Arrakis raises $38M to bring AI to factories and supply chains

▼ Summary

– Arrakis raised $38 million total, including a $30 million Series A led by Blossom Capital and a $7.5 million seed round led by Accel, valuing the company at $140 million post-money.
– The startup deploys forward-deployed AI engineers at customer sites and uses a model-agnostic approach, shifting workloads from commercial models to open-source alternatives to improve output quality and cut token costs.
– Arrakis has five paying customers, including NYSE-listed enterprises, and ties roughly half its fees to performance targets, with one client cutting procurement cycle times by 90 percent.
– CEO Rafael Quintanilla co-founded Arrakis in January 2026 with former Palantir employees, positioning the company as a faster, more flexible alternative to Palantir and traditional consulting firms.
– The company plans to triple its headcount from about 15 employees and open offices in New York and the Middle East, using the capital to expand in markets where industrial transformation is a government priority.

Arrakis, a London and Paris-based startup emerging from stealth mode, has secured $38 million in total funding to deploy what it calls an AI operating system for industrial sectors such as aerospace, energy, logistics, and manufacturing. The company argues that the most significant returns from artificial intelligence will come from factories and supply chains, not from office productivity tools. The round includes a $30 million Series A led by Blossom Capital, building on a $7.5 million seed round led by Accel that closed in March. According to Fortune, the Series A values Arrakis at $140 million post-money.

CEO Rafael Quintanilla, formerly a vice president at Accel, co-founded Arrakis in January 2026 alongside Haroun Beltaifa, Romain Fouilland, and Mikhail Galkov. Beltaifa and Fouilland both previously worked at Palantir, while Galkov came from Delivery Hero. That Palantir pedigree is intentional. Quintanilla has described the company as a legacy player ready for disruption, and Arrakis positions itself as a faster, more flexible alternative to Palantir’s entrenched government and enterprise contracts, as well as to traditional consulting firms that charge by headcount rather than results.

The startup deploys what it calls forward-deployed AI engineers who embed directly at customer sites. Rather than locking clients into a single model provider, Arrakis takes a model-agnostic approach. It starts with commercial models from OpenAI and Anthropic, then shifts workloads to open-source alternatives from vendors like Mistral, which recently acquired industrial AI firm Emmi to strengthen its own manufacturing pitch. The company claims this flexibility delivers a two-to-four-fold improvement in output quality while cutting token costs by roughly 70 percent.

Arrakis says it already has five paying customers, including NYSE-listed enterprises. One client reportedly cut procurement cycle times by 90 percent using the platform. The company ties roughly half its fees to performance targets, an unusual structure in enterprise software that Quintanilla has framed as proof the system delivers measurable results. The startup says it has found its best traction with family-controlled businesses, which tend to make faster purchasing decisions than publicly traded corporations with layered approval processes.

The angel investor list signals credibility in both AI and industrial circles. Datadog CEO Olivier Pomel, OpenAI head of business products Olivier Godement, and Junaid Hussein, founder of Cambridge Aerospace, all participated in the round. Additional backing came from GFC, MainObject, and Rerail.

Arrakis enters a crowded but fast-growing market for industrial AI. PhysicsX raised $300 million at nearly $2.5 billion valuation in June for AI-powered engineering simulation, while Jeff Bezos-backed Prometheus is pursuing a similar thesis in heavy industry. The difference, Quintanilla argues, is speed. Arrakis can deploy within weeks rather than the months or years that legacy vendors require.

The company plans to triple its headcount from about 15 employees and open offices in New York and the Middle East, using the fresh capital to expand its presence in markets where industrial transformation is a government priority. Whether Arrakis can scale that forward-deployed model without ballooning costs will be the central test of whether its approach works beyond its first handful of clients.

(Source: The Next Web)

Topics

ai operating system 98% industrial ai 96% startup funding 95% forward-deployed engineers 90% model-agnostic ai 88% cost reduction 85% performance-based pricing 82% palantir competition 80% aerospace industry 78% Supply Chain Optimization 76%