Remy AI

Automating dexterous tasks in warehouses

Winter 2026

Deep Learning

Robotics

Logistics

Supply Chain

About

We're building flexible automation for warehouses. Our robots automate operationally-intensive, high-dexterity tasks using a proprietary model that draws on the latest architectures in robotic learning. Our custom training pipeline learns new tasks with less data than vanilla VLA fine-tunes, and our unique hardware design operates robustly in the most demanding warehousing environments. Today, 80% of warehouses have zero automation. Not because solutions don't exist, but because existing systems are expensive, rigid, and bulky. Despite there being an automation solution for virtually every warehouse task, the vast majority of facilities can't justify the cost or the operational overhead of deploying them. We're building robots that change that: flexible, adaptable machines that slot into existing work stations, bringing brownfield automation to the millions of facilities the last 20 years of warehouse automation has left behind.

Founders

Oscar Brisset

Co-Founder, CEO

Oxford, BCG, now working on dexterous warehouse robots

Ben Kaye

Co-founder, CTO

As CTO, Ben brings deep expertise in computer vision from his PhD work in 3D Reconstruction. Previously, he engineered safety-critical systems at OrganOx, where he developed a patented technology for organ preservation.

AI Research Report

Problem & Solution

Problem and Solution Report: Remy AI

The Problem: The Automation Gap in 3PLs Currently, approximately 80% of warehouses and Third-Party Logistics (3PL) providers operate with zero automation. The primary barrier is not a lack of technology, but the nature of existing solutions. Traditional warehouse automation is typically expensive, rigid, and bulky, requiring significant capital expenditure and long-term commitments. For the 'long tail' of 3PLs that handle high-dexterity tasks and frequently changing SKUs, these traditional systems are often too inflexible to justify the investment, leaving them reliant on increasingly scarce and expensive manual labor.

The Solution: Flexible, Dexterous Robotics Remy AI provides a solution through flexible automation designed specifically for the operational realities of 3PLs. Their robots are built to handle operationally-intensive, high-dexterity tasks such as picking, packing, kitting, and receiving. Unlike traditional systems that require extensive reprogramming for new items, Remy AI uses a proprietary AI model based on the latest architectures in robotic learning. This allows their robots to onboard and recognize new SKUs automatically through vision, without the need for manual reprogramming.

Value Proposition and Deployment The core value proposition of Remy AI lies in its 'brownfield-friendly' approach—the ability to drop into existing workflows with minimal disruption. The company claims a deployment timeline of under 30 days, which includes a 1-2 day installation, one week for WMS (Warehouse Management System) integration, and a 2-3 week pilot phase with an on-site engineer. To further lower the barrier to entry, Remy AI offers a flexible rental model with a minimum commitment of only three months, allowing 3PLs to scale automation according to their volume and margins.

Market & Competitors

Market and Competitors Report: Remy AI

Market Landscape Remy AI operates in the Warehouse Robotics market, a sector experiencing significant growth due to the expansion of e-commerce and labor shortages in logistics. The market is segmented into various types of automation, including Autonomous Mobile Robots (AMRs), Automated Storage and Retrieval Systems (AS/RS), and picking/packing robotics. Remy AI specifically targets the picking and packing segment, which is valued at approximately $6.69 billion and is expected to grow at a CAGR of 13.2% through 2030. The target audience is the 'long tail' of 70,000 US-based 3PLs that have historically been underserved by high-cost automation vendors.

Competitive Landscape The competitive field for Remy AI is crowded, with Tracxn identifying at least 21 active competitors. Key players in the broader warehouse and picking robotics space include:

Covariant: Focuses on AI-powered picking for various industries.
RightHand Robotics: Specializes in piece-picking solutions for order fulfillment.
Berkshire Grey: Provides end-to-end AI-enabled robotic solutions for e-commerce and retail.
Locus Robotics & 6 River Systems: While primarily AMR-focused, they compete for the same warehouse automation budgets.

Competitive Advantages Remy AI distinguishes itself through three primary factors: dexterity, deployment speed, and business model. While many competitors require significant infrastructure changes, Remy AI's robots are designed for 'brownfield' deployment, meaning they fit into existing workstations. Their proprietary AI model allows for SKU flexibility without reprogramming, a major pain point for 3PLs with high turnover. Furthermore, their 30-day deployment guarantee and 3-month rental model provide a level of agility that larger, more established competitors often cannot match.

Market Trends and Risks The market is trending toward 'Robotics-as-a-Service' (RaaS) to mitigate the high upfront costs of automation. Remy AI is well-aligned with this trend. However, the company faces risks from well-funded incumbents who are also moving toward more flexible, AI-driven vision systems. As a seed-stage company with approximately $500,000 in funding, Remy AI's primary challenge will be scaling its deployment and maintenance capabilities to compete with larger firms that have more extensive support networks.

Total Addressable Market

Quantitative TAM Report: Remy AI

Remy AI operates at the intersection of the global logistics market and the rapidly expanding warehouse robotics sector. The company identifies its primary target as the 'long tail' of Third-Party Logistics (3PL) providers. According to company and Y Combinator data, there are approximately 70,000 3PLs in the United States alone. The broader global logistics market is estimated at $1.2 trillion and is currently growing at a rate of 8% annually, driven by the persistent rise of e-commerce.

Market Size Estimates To determine the specific Total Addressable Market (TAM) for Remy AI's robotics solution, we look at the warehouse robotics and picking segments. Independent research from Mordor Intelligence projects the Warehouse Robotics Market to be worth $10.96 billion in 2026, with a forecast to reach $24.55 billion by 2031, representing a CAGR of 17.5%. Furthermore, the specific market for warehouse picking (humanoid/dexterous) robots is valued at approximately $6.69 billion as of 2024, expected to grow to $15.98 billion by 2030.

Estimation Methodology Remy AI's TAM can be estimated using a bottom-up approach focused on the 70,000 US-based 3PLs. If we assume a conservative annual automation spend of $50,000 to $100,000 per 3PL facility (aligned with their rental model), the US-only TAM for 3PL automation ranges from $3.5 billion to $7 billion. On a global scale, considering the $1.2 trillion logistics context and the 80% of warehouses currently lacking automation, the potential for displacement of manual labor by flexible robotics represents a multi-billion dollar opportunity.

Growth Drivers and Financial Metrics Growth is primarily fueled by the 'relentless rise of e-commerce' and the fact that 80% of 3PLs currently have zero automation. Remy AI utilizes a flexible rental model with a minimum 3-month commitment, which lowers the barrier to entry for smaller firms. This 'Robotics-as-a-Service' (RaaS) approach allows the company to capture recurring revenue from a market segment that was previously priced out of traditional, high-CapEx automation systems.

Founder Analysis

Founders and Background Report: Remy AI

Remy AI was co-founded by Oscar Brisset and Ben Kaye, two experts with deep roots in engineering and strategic logistics. The leadership team combines high-level management consulting experience with advanced academic research in machine learning and robotics, positioning the company to address complex automation challenges in the 3PL (Third-Party Logistics) sector.

Oscar Brisset (Co-Founder & CEO) Oscar Brisset serves as the Chief Executive Officer of Remy AI. Before founding the company, he was a consultant at Boston Consulting Group (BCG) within their Supply Chain practice. During his tenure at BCG, he advised C-suite executives of Fortune 500 logistics companies on multi-billion dollar transformations. His background also includes experience as an AI Engineer, providing him with a unique blend of strategic business insight and technical proficiency. He holds an engineering background from the University of Oxford.

Ben Kaye (Co-Founder & CTO) Ben Kaye leads the technical vision of Remy AI as the Chief Technology Officer. He holds a PhD from the University of Oxford specializing in Machine Learning and Computer Vision, specifically 3D Reconstruction. His academic work has been highly regarded, with his recent research recognized as one of the best in the field of computer vision. Prior to Remy AI, Kaye engineered safety-critical systems at OrganOx, where he developed and patented technology for organ preservation. He currently holds a patent pending in the field of robotics.

Company Context and Team Based in San Francisco, Remy AI is part of the Y Combinator Winter 2026 batch. The company maintains a lean team of approximately 1 to 10 employees. The founders' combined expertise in Oxford-level engineering and top-tier supply chain consulting forms the foundation of their approach to building flexible, AI-driven automation for the logistics industry.

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