Arrakis
by Arrakis
AI transformation for mission-critical industries — production AI agents for aerospace, energy, shipping, and manufacturing
Arrakis is a model-agnostic AI agent platform that helps industrial enterprises design, build, and scale AI agents for real-world operational execution, spanning aerospace and defense, chemicals, energy and commodities, engineering and construction, shipping, and telecommunications. It is aimed at operations, supply-chain, and technology executives at asset-heavy companies rather than at office knowledge work, and emerged from stealth on July 22, 2026 with $38 million raised.
Arrakis is a London- and Paris-based platform that industrial enterprises use to design, build, and scale AI agents for real-world execution, and it emerged from stealth on July 22, 2026 with $38 million in venture funding — a $30 million Series A led by Blossom Capital at a $140 million post-money valuation, plus an earlier $7.5 million seed led by Accel. The company, roughly seven months old at launch and led by co-founder and CEO Rafael Quintanilla, is built on the thesis that AI's biggest payoff lies in industrial sectors rather than office work. The platform is model-agnostic and pairs software with embedded vertical teams; it integrates data across ERPs, data warehouses, and document repositories, automates workflows with governance logic built in, and surfaces everything through a unified operational dashboard the company calls a command center. Named integration targets include SAP, Oracle, Infor, IBM, and Workday, and the company highlights operational-intelligence use cases such as supplier risk identification, spend optimization, cash-flow visibility, and real-time monitoring. Arrakis targets aerospace and defense, chemicals, energy and commodities, engineering and construction, shipping, and telecommunications, promising impact "in weeks, not quarters," and it prices on a value basis so that customers "only pay for the value our Agents deliver." At launch it reported five customers with agents live in production across multiple countries — including a New York-listed shipping company it could not name — and plans to grow from 15 employees while opening offices in New York and the Middle East. Investors include Blossom Capital, Accel, GFC, MainObject, and Rerail, with angel backing from Datadog CEO Olivier Pomel and OpenAI head of business products Olivier Godement.
At a Glance
- Category
- Industry & Government
- Pricing
- Contact for pricing
- Target Market
- CIOs, CTOs, COOs, Supply Chain Executives, Industrial Operations Leaders
- Founded
- 2025
- Headquarters
- London, United Kingdom
- Customers
- 5 customers at July 2026 launch, including a New York-listed shipping company
Key Features
- ✓Model-agnostic agent platform
Builds and runs AI agents without locking the customer to a single foundation-model vendor.
- ✓Industrial data integration
Connects and unifies data across ERPs, data warehouses, and document repositories including SAP, Oracle, Infor, IBM, and Workday.
- ✓Workflow automation with governance logic
Automates operational workflows with governance rules embedded in the execution path.
- ✓Unified command center
Presents agent activity and operational state through a single operational dashboard for executives and operators.
- ✓Embedded vertical teams
Pairs the platform with domain teams that deploy alongside the customer, targeting impact in weeks rather than quarters.
- ✓Value-based pricing
Charges against measured value delivered by the agents rather than a fixed seat or platform fee.
Capabilities
Use Cases
- •Supplier risk identification
Agents monitor supplier and procurement data to surface risk exposure before it disrupts production.
- •Spend optimization
Agents analyze spend across ERP and document systems to find and act on cost-reduction opportunities.
- •Real-time operational and cash-flow visibility
Consolidates fragmented industrial systems so leaders can monitor operations and cash position continuously.
Ideal For
Best For
- ✓Deploying production AI agents inside asset-heavy industrial operations
- ✓Supplier risk identification and spend optimization across ERP and document systems
- ✓Giving industrial executives real-time cash-flow and operational visibility in one command center
Market & Ratings
5 customers at July 2026 launch, including a New York-listed shipping company
Market Analysis
Pros
- ✓Agents already live in production with paying customers across multiple countries at launch
- ✓Value-based pricing lowers buyer risk versus large upfront platform commitments
- ✓Strong investor and operator backing: Blossom Capital, Accel, plus Datadog's and OpenAI's product leaders as angels
Cons
- ✗Roughly seven months old with only five customers and about 15 employees
- ✗No published pricing, benchmarks, or named references
- ✗Delivery leans on embedded vertical teams, which may limit how fast it can scale
Pricing
Enterprise (value-based)
Contact for pricing
- ✓Model-agnostic agent platform
- ✓ERP, warehouse, and document integrations
- ✓Governed workflow automation
- ✓Command center dashboard
- ✓Embedded vertical delivery team
Arrakis uses value-based pricing so that, in its words, customers "only pay for the value our Agents deliver." No published tiers.
Sources
This page was written from 2 sources, 1 on domains other than arrakis.tech.
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