Remy AI: Automating dexterous tasks in e-commerce warehouses

Automating dexterous tasks in e-commerce warehouses

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 small to mid-size warehouses have zero automation. Not because of lack of interest, but because existing systems can't handle their ever-changing inventory and workflows. 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.

Active Founders

Oscar Brisset

Co-Founder, CEO

Oxford, BCG, now working on dexterous warehouse robots

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.

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.

Company Launches

🤖📦 Remy AI - Dexterous robots for e-commerce 3PLs

See original launch post

Hi YC ! We’re Oscar and Ben and we’re building Remy AI.

TL;DR: we're bringing the robotics revolution to the little guy by building AI-powered robots for e-commerce 3PLs.

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⚠️The problem

Warehousing to this day remains highly manual. Whether it’s for inbound receiving, picking, or even truck loading, more than 80% of warehouses in the US have little to no automation.

E-commerce 3PLs in particular suffer from this. Unlike large retailers or shippers, their inventory mix and volumes are highly variable, given their smaller size and greater exposure to e-commerce trends. Their contracts renew on an annual basis, their customers regularly go out of business, and the brands they work with frequently release new products.

Most of the automation out there is designed for the big players. Stacker cranes, 2D/3D shuttles, or even more recently AMR-based systems - these all only make sense to invest in above a certain scale and predictability.

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What 80% of 3PLs look like: rows of shelves of plastic totes and cardboard boxes with at best a couple conveyors.

Why is automation so limited? Because existing solutions are expensive ($100-150K incl. solution + installation + servicing), bulky, and inflexible. They’re usually some mechanical system + a PLC that perform one rigid task repetitively with little to no room for customisation beyond some initial configurations. As a result, most 3PLs aren’t able to leverage these and stick to manual options.

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Current automated packing stations: rigid mechanical systems with limited adaptability

Yet this long tail of 3PLs is huge:

70K 3PLs in the US
$1.2 trillion global market size
Growing at +8% per year given relentless rise of e-commerce

✅ The solution

Remy AI is building flexible automation for e-commerce 3PLs.

We deploy a robotic system that:

Adapts to new SKUs without needing to be re-trained or re-programmed
Can be dropped into existing work stations with minimal modifications
Can perform dexterous tasks that existing robots struggle with

We leverage a versatile bi-manual mobile platform which allows our system to be deployed on a wide range of tasks:

Mobile picking
Packing stations
Kitting
Receiving
…

And crucially, we do this at a 50% lower cost than existing solutions, by replacing mechanical complexity with intelligence.

https://youtu.be/AhbSnP8YaG0

🧠 How do we achieve this?

Recent developments in ML & robotics have made it possible to bring a human level of adaptability to robots. Whereas before you’d have to use a deterministic pipeline that would map specific object morphologies to pre-determined grasps, large pre-trained robotics & vision models now enable robots to generate trajectories and grasps by themselves, adapting in real-time to changing environments.

Combined with recent advances in simulation and robot learning, we’re able to deploy highly customised systems by taking just a couple photos of the customer’s environment, generating that environment in simulation, to then fine-tune our robot to that specific deployment. Supplementing this with real world data captured at the customer’s site + a rigorous domain randomisation pipeline + our own error recovery algorithms, we’re able to deploy systems with production-grade reliability in days not months.

🤝🧑‍💻Our team

We’ve been working in this problem space for several years. We met 7 years ago when we were both undergrads at Oxford.

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CEO - Oscar Brisset

Previously worked at BCG where he advised C-suites of Fortune 500 logistics companies on $B transformations, including optimising 3PL operations, warehouse automation support, and logistics networks re-designs. AI Engineer previously.

CTO - Ben Kaye

ML PhD from Oxford, specialised in computer vision & robotics. Has a patent pending from his work on the embedded engineering for a medical device now used in 1/3 liver transplants in the US. Last paper recognised as one the best in computer vision last year (Highlight CVPR 2025).

Ask

We’d love to chat to more e-commerce 3PLs and brands that handle their own warehouses. Reach out to us at founders@tryremy.ai. Thanks!