Leaps in Logistics | Where the Internet Lives

Today’s modern supply chains are extremely complex.

From the moment something is produced to when

it is distributed to the other side of the planet.

There are so, so many steps that have to be very well coordinated.

People usually know what goes in and what goes out of a warehouse.

When things are inside the warehouse,

it's a black hole.

There is very little visibility

of exactly what stock is where and how and in which quantities.

The whole system is quite inefficient,

relying on pretty antiquated processes and systems.

Dexory is revolutionizing the world of warehousing,

with robotics and AI,

allowing our customers to make real time decisions

based on the exact data of what they have in every single space.

I'm Oana Jinga,

and I'm Chief Commercial and Product Officer

as well as Co-founder at Dexory.

Logistics is what makes the whole world move.

It's actually one of the oldest industries in this world.

Farmers used to make stuff on their fields and go to the next town

and sell them in the market, and then obviously,

those products are being turned into, let's say, pies.

And then the bakers will take them again and kind of sell them.

So all that kind of supply chain motion

is something that we've all kind of lived with for, for many, many years.

Wallingford used to be a very famous market town back in the day.

Being on the River Thames allowed it to be very well connected to massive parts

of the UK, from London and into France and so on.

There's a lot of understanding of the movement of goods,

the connection of goods,

being a logistics town many, many years ago.

Common guys...

Common Jarvis...

Maverick...

I'm originally from Romania.

I was born in Bucharest,

where I grew up, and went to school and did some of my first years of university.

Growing up, I always kind of had this idea that one day

I'm going to have my own company.

Living in a post-communist country, there was always kind of this idea

of trying to innovate and do things differently than the rest.

I've known my co-founders for over 20 years, actually.

We're all from Romania.

We had a big house share for quite a few years, and that's

where the initial ideas behind Dexory started.

With the pandemic, everyone moved to ordering online.

This led to a massive re-shift of the sector

and focusing on that idea of having data and information at their fingertips.

And within probably about eight months,

Dexory built the world's tallest autonomous robot.

The key things that we

factored into the design is, first of all, they had to go really high.

So over 15m to be able to scan top to bottom.

They had to be really robust and rugged

to be able to operate in such big spaces with machinery and racks and metal.

And lastly, they have to be able to work around people

so that there is no disruption to the operation at all.

We’re in unit four, one of our units in the central headquarters.

So what we have in this unit is our electronics shop,

we do all the wiring and all the connectors

and the wiring looms for the robot.

Also here we have our CNC shop, and this is where we make

a lot of our metal parts, it’s where we prototype a lot.

So everything you see in this machine shop is prepared for automation.

It's quite poetic when you look at it.

We have literally robots building robots.

So this is our demo and testing warehouse

where we have a lot of variety of storage items,

picking locations or full pallets, boxes, sandbags, a variety of different items

to replicate as much as possible,

what customers would normally have in a real site.

As the robot is scanning,

it’s collecting a lot of information from inside the racks.

So it’s looking for QR codes, barcodes, shapes

and sizes of objects, and taking pictures in every single location,

as well as using the lidar sensors to get a 3D analysis of what's on the racking.

So all of that gets directly into the back-end system.

And then from here into our digital twin platform

for our customers to use the information collected.

So, for instance, what we have over here is an example of a warehouse that we scan.

It's a kind of large one just over 60 aisles.

And what they can do very easily is actually go aisle by aisle in 3D

see the exact pallet that they have over there,

and then go through every single warning or error that they have in the warehouse

very easily from the screen, without having to walk to the aisles

to investigate further.

One of our customers is Google.

We're working on the warehouses that support their data centers in Europe.

Ensuring that the data centers are running

smoothly means that all the different parts

and pieces that might be needed are as close as possible,

and in the right quantities, to eliminate any kind of risk

to having to kind of power anything down within the data center.

As any autonomous technology, you have to be able

to run 24x7, 365 days a year.

We scan at about 0.5m a second.

It's over 10,000 pallets an hour.

We're pretty much sitting on one of the

largest databases of warehouse information and data in the world.

Every single day we add about 2 or 3 million extra data points to our database.

So a lot of kind of processing power needed for that.

We've been working with Google Cloud for a while now.

Cloud computing

and obviously the possibility to access data centers from around the world

so you can properly store all that information has become very important.

The fact that Google is opening a new data center here in the UK

obviously helps us a lot, because again, it just increases our power

to be able to store that data locally, reducing latency and being able to do that

at an accessible rate for a startup and to scale up again is key.

Having that flexibility with Google was just a fantastic asset

to just have at our disposal.

Real time data

make supply chains a lot more resilient because decision makers

can just act immediately.

We are powering the people working in a warehouse to make better decision

much quicker, and be a lot more confident in those decisions as well.

My name is Damien Haskins.

I'm the Build Team Lead for Dexory.

12 years ago I joined the military

and ended up in Wallingford.

The town has changed a little bit.

I would say definitely a lot more business, a lot more industry.

Dexory being one of those companies, that's brought a lot more jobs to the town.

About 150, 160 jobs in the local area, which is really good.

I think a lot of people are sort of worried about robots

and AI taking over jobs, but I don't really think that's the case.

I think robots make jobs a lot easier and they help to create jobs as well.

And what they actually do is free up your capacity to do other things.

Just the idea of just someone building robots in a little historic town

was really interesting to me, and it was just a really good opportunity for me to

take the skills that I had already learned and apply them in a new technology.

I've always been a great tech optimist, so I'm really excited to see

what the future holds for Dexory, but also for the wider industry.

24 months ago, Dexory

barely existed and we didn't even have a product at the time.

Not to mention the team that we are now

with customers all over the world and growing really, really fast.

So within the next 5 to 10 years, I mean, we have some pretty big ambitions

on what we want to build and we're barely scratching the surface.