DII Technology Slide Deck

1. Automatic Understanding of the
Engineering Drawings

2. The SaaS product:
recognizes objects by processing scanned paper engineering
drawings, reads their parameters and
creates a CAD* model using obtained information
* CAD – Computer aided design, a commonly used engineering format for digital models of the objects

3. Our main assumption is that
in the near future every important physical asset will need to
have its digital (CAD) model. This model becomes central to the
object’s lifecycle.

4. CAD - computer-aided-design
The models are created by digital
engineering software, commonly known
as CAD.
CAD files operate in compatible formats,
so they can be read by various software
packages.
CAD is a standard tool for all engineers
and architects in the world.

5. But there's the problem
Most of existing objects have been created
before the digital revolution. Their
engineering drawings exist only in a paper
form. Even if they were originally created
with CAD.
Old data is being converted to digital
models but the conversion is still largely
manual and takes much time and efforts.
As it is impossible to convert majority of
existing assets’ drawings manually,
automation solution is required.

6. Our decision
We are working on the automation of
conversion of the scanned images into
digital drawings.
With the use of artificial intelligence, and
a custom-built algorithm, the program is
able to:
1) recognize the main object and image
margins,
2) classify the elements and
3) create an object drawing in a CAD
format.
Demo video

7. Current state of development
Laboratory model (approval of the concept)
- done
Preparation of MVP for closed testing -
done
oClosed testing and completion of MVP - in
progress (our dataset is up to 100,000
drawings)
oOpen MVP testing - July 2021

8. Team
A team of five engineers is currently
working on the project full-time assisted
by a group of project advisors.
Founders:
• Andrew Zagorodniuk, co-founder, ideologist, investor and CEO of the project. 20+ years
of management experience running industrial and construction engineering teams.
Previous projects included highly complex engineering solutions with digital prototypes
and calculations. Customers included large international industrial groups.
• Roman Zakharov, co-founder, main tech partner, head of R&D. Mathematician. Studied
and worked in Ukraine and Western Europe. 10+ years of experience in AI and machine
learning. Co-founder of the company, who has been working for more than 7 years in
computer vision in the B2B markets and serves large international clients.

9. Competing solutions
For now, there are no direct established competitors in
this field.
Some partial solutions are available (file vectorization
etc) but they provide very limited functionality.
There are some companies and universities, which work
in the same direction as we do.
Our advantage is a unique algorithm developed during a
year of work (2020-2021)

10. Sales potential
We regularly discuss the product
with future clients. Thousands of
companies need to digitise their
engineering files.
The product will work as (SaaS).
Monetization – pay per drawing.
The cost – ten times less than
manual conversion. And many
times faster: seconds instead of
hours.
Sales channels:
- Direct - to large
customers
- Sales through the
engineering community
- Platforms of large CAD
developers
- CAD marketplaces
- Integration into CAD
packages (plug-ins)

11. Markets. 1 of 7
Digital manufacturing
technologies require
digital models of the
products
The manufacturing
automation market volume
– $190 bn.
Manufacturing automation

12. Markets. 2 of 7
All new construction
projects require
digitization of the
surrounding environment.
New objects
in the existing
environment

13. Markets. 3 of 7
Smart facilities solutions
require digital drawings of
the objects
Smart buildings market –
$60bn
Smart buildings and
facilities

14. Markets. 4 of 7
Smart cities require
digitization of huge
amounts of engineering
data.
Market for smart city
solutions – $700bn.
Smart cities

15. Markets. 5 of 7
Conversion engineering
is done in CAD, while
original drawings exist in
paper
World market of
reconstructions – $4 tn
Conversion of legacy assets

16. • Circular economy is one of the
most promising concepts and
emerging technological trends
in the world
• Reusing complex objects
requires their re-engineering,
which itself requires conversion
drawings from paper to CAD
models.
link
Re-using the old assets is a key idea for
circular economy

17. Markets. 6 of 7
Safe and efficient decommissioning
of industrial facilities requires
engineering phase. It needs CAD
files of the objects. For large objects
substantial amounts of effort is
invested to create CAD files, just to
destroy the object afterwards.
Decommissioning market is worth of tens
of billion of dollars.
Industrial
decommissioning and
demolition

18. Markets. 7of 7
Digital twins assumes objects automation
with monitoring and simulation of all their
physical processes. Gartner has been
including d.twins in the top 10 global tech
trends for several years.
Creating a twin for an existing object
involves the complete digitization of its
engineering information.
Today's market of twins solutions (actively
growing) – $4.3bn
Digital Twins

19. DII
Thank you!
www.dii.ai