S
Sensei
AI-powered computer vision for autonomous retail stores.
About Sensei
Sensei is a technology company founded in 2017 that provides AI-powered solutions for autonomous retail. Based in Lisbon, Portugal, the company was established by Vasco Portugal (CEO), Joana Rafael (COO), Nuno Moutinho (CTO), and Paulo Carreira (CSO), who have combined backgrounds in computer science, aerospace engineering, retail, and entrepreneurship. Sensei aims to digitize physical stores, making them checkout-free and providing retailers with deep operational insights. The company's core technology retrofits existing retail spaces with a system of cameras, sensors, and AI algorithms. This platform uses computer vision to track customers and products anonymously, automatically creating a virtual shopping cart for each person in the store. This allows shoppers to enter without an app, pick up items, and leave without needing to scan anything at a checkout counter. The system is designed to be GDPR-compliant, ensuring customer privacy by not using biometric data. For retailers, the platform offers real-time inventory visibility, automated replenishment alerts, and rich data analytics on shopper behavior and store performance. Sensei operates on a B2B model, targeting a wide range of retail formats, including supermarkets, convenience stores, and grab-and-go locations. Its solutions are scalable for various store sizes. In January 2025, Sensei, in partnership with MC Sonae, launched what they describe as the world's largest autonomous supermarket, a 1,200-square-meter Continente Bom Dia store in Leiria, Portugal. This store features over 1,600 cameras and 2,000 scales, managing more than 10,000 products. The company has raised approximately $23.3 million in funding over several rounds, including a significant Series A round. Key investors include Seaya Ventures, Iberis Capital, BlueCrow Capital, and Techstars. This funding is directed towards R&D, international expansion across Europe and other regions, and increasing its workforce to meet growing demand.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2017
- Headquarters
- Lisbon, Portugal
- Employees
- 111
- Open positions
- 2
- Dealroom signal
- 72.4/100
- Sub-industry
- In-store Retail & Restaurant Tech
- Sector
- AI, Analytics, Retail, User Behavior
- Technology
- Artificial Intelligence, Hardware, 3D Technology, Machine Learning, Computer Vision, Autonomous & Sensor Tech, IoT InternetOfThings
- Business model
- Manufacturing, SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES A✓Equity / VC | Oct 2024 | $17M | $66M | METRO · Lince Capital · BlueCrow Capital · Techstars | ↗ |
| SEED✓Equity / VC | Apr 2021 | $6.5M | $26M | Seaya · Iberis Capital · 200M · LeadX Capital Partners | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Sensei is 15K monthly website visits, down 28.6% over the last three months. Sensei's team declined 3.5% over the past year.
Open positions
Similar companies
Company identity and context are open; selected comparison metrics preview what is available on the platform.
Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed10 investors entered at this stage
Series A5 investors entered at this stage
BlueCrow Capital
METRO
Lince Capital
Explorer Investments
Kamay Ventures
Other known investors4 additional known investors
University of Lisbon
University of Lisbon Higher Technical Institute - Tecnico Lisboa
Aristotelis Xenofontos
Riyadh Techstars Accelerator
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Sensei on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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