This document summarizes USIO.IO, which provides an AI platform as a service to global energy retailers to help them transform into platform businesses. Some key points: - USIO uses machine learning and neural networks to analyze real-time data from smart meters and other sources to build profiles of customers and optimize tasks like demand forecasting, tariff creation, and peer-to-peer energy sharing. - Their vision is to help energy retailers transition to next-generation digital platforms by removing inefficiencies and enabling new business models. - They have early traction with pilot clients totaling over 1.2 million customers in the US and Europe and are raising £1.5 million by January 2019 to continue

1. Imagine if running an energy business could be
as streamlined as running a taxi app.
USIO.IO
The platform for a new
generation of energy providers

2. Three Conferences, One Mission: Empower the European Digital Ecosystem
To provide a physical marketplace
that facilitates funding of
digital European companies
at all stages
Mission Mission Mission
To promote Israel - European
relationships and enable funding
To bring together future-shaping
executives and investors active
across segments driven
by digital revolution
Connecting
Capital with
Entrepreneurs
Connecting European
Champions
and Challengers
Connecting Israel’s Startups
with Large Corporates
and Investors
30-31 October 2019
Old Billingsgate, London
13-14 June 2019
STATION Berlin
9-10 April 2019
Hangar 11, Tel Aviv

3. USIO is delivering AI as SAAS to global energy retailers
Transforming energy retailers into platform businesses
UK team of data scientists and developers led by an experienced
founder in energy B2B services
Emerging clients amongst others in Texas and Portugal
Raising £ 1.5m by Jan ’19
2

4. Competition in
global energy
retailing is heating
up, but …
… the industry’s
tech is blocking
disruption
3
• Increasing competition in global energy retail
causing significant margin pressure
• Renewable energy generation and distributed
energy resources are changing the landscape
• Large incumbents struggle to adapt under the
weight of their legacy systems
• Challengers mostly focussed on growth, but their
systems are not sufficiently better or future proof
• Smart meter penetration is accelerating, enabling
not just efficiencies – but materially different
business models including Peer2Peer
• Most challengers will be unable to build their own
machine learning capabilities, given the associated
cost and the difficulty in attracting world class talent
• Energy market structures are aligning globally –
making global energy software possible

5. Our long term vision
” Transforming energy retailers into platform businesses ”
Doing everything a little better,
but on equally as dumb utility out-
of-the-box systems
Legacy organisation, using
lots of legacy systems.
Removing all in-efficiencies in
the energy supply industry and
create truly scalable and
disruptive business models
ranging from personalised
tariffs to membership based
fulfilment platforms and
Peer2Peer
V 1.0
Traditional
suppliers
Current generation
of suppliers
Next generation
energy platforms
V 1.5 V 3.0
4

6. Real-time data
pipelines
World class demand forecasting
Geo-aware Peer2Peer (Q4/19)
Lifestyle change detection
CRM triggers (Q2/19)
Billing engine (Q1/20)
Trading aggregation (Q3/19)
Core ML Engine Platform modules
Usio AI engine
Industry
Flow
Smart meter data
CAD data
Signup data
Weather data
App data
Traffic data
Energy prices
Building up a picture of
every customer and the
wider network in real-time.
Customer segmentation and
tariff creation
USIO.IO
Platform
5

7. Example of use cases for our clients
Personalised demand
forecasting (& trading)
Lifestyle change
detection
Anomaly
detection
Smart tariff
creation
Dynamic customer
segmentation
Energy
disaggregation
Geo-aware
Peer2Peer
optimisation
6

8. 7
We utilise state-of-the-art neural
network architectures tailored to
specific tasks:
• Convolutional Neural Networks
(CNNs) extract local features from
timeseries and are best suited for
signal filtering and energy use
disaggregation..
• Long Short-Term Memory (LSTM)
Recurrent Neural Networks (RNNs)
accumulate features and insights
over long timeseries.
• Latent space embeddings are used
to learn hidden (latent) features of
individual users – allowing the
algorithms to adopt to unknown or
even unknowable variables.
Above is an example of an individual customer's model that was able to
detect a customer's holiday and adapt the forecast accordingly.
Our AI platform models each individual

9. Strong traction already in US and Europe
discussions with companies totalling over 1.2 million customers
8

10. 9
Agree use cases1.
Create a dedicated instance for a client2.
Connect to client’s smart meter data3.
Train models (within 4 weeks from step 1)4.
Share customer insights5.
Convert insights into commercial use cases6.
USIO invests in its clients by offering quick-
to-launch-pilot-set-ups, where we connect
our AI platform to the smart meter data of
our clients and start generation insights
immediately
Clients can get
started with USIO AI
in less than 4 weeks

11. Projections and funding
10
• Raising GBP 1.5M by Feb ‘19
• Funding need until Dec ’19:
• £ 0.9m - £ 1.5M
• Base case £ 0.9M and
cashflow positive from
Oct ‘19 onwards
• Down-case £ 1.5M based
on client revenue delayed
Dec ‘19
• Spend allocation:
• Staff cost 60%
• Overhead 24%
• Commercial AWS 12%
(only if client revenue)
Oct 18 - Dec 2019 FY2020 FY2021 FY2022
Pilot client meter points 320,000 - - -
Clients 370,000 1,740,000 5,740,000 12,740,000
Commercial client meter points 3 6 11 18
TOTAL revenue GBP 2,135,667 9,882,000 33,796,000 71,292,000
Gross profit GBP (437,758) 4,162,780 19,616,660 42,188,360

12. 11
USIO ML ltd.
Techhub
20 Ropemaker Street
EC2Y 9AR
London
United Kingdom
Web
www.usio.io

13. Selected Completed NOAH Transactions
Focus on Leading European Internet companies
Covering over 400 companies across 25 online
verticals, a broad range of over 500 investors as
well as 100+ online-focused corporates
Deep understanding of industry dynamics
Ability to add value beyond banking advice
Facilitates overall process and minimizes
management distraction
NOAH Advisors is globally well connected
and has direct access to virtually all key
players in the industry
Knowledge of and strong relationships with
potential buyers’ key decision makers
Proactively finds and unlocks attractive
investment opportunities for leading investors
Annual NOAH Conference in its 8th year
Over 40 years of combined relevant M&A experience
Routine execution of M&A and financing transactions
with sizes of several billion euros
25+ successfully completed NOAH Advisors transactions
underline successful transfer of M&A competencies to
the Internet sector
Entrepreneurial mind-set, focused on growing the
business and establishing a reputation for excellence
Ability to deliver top results in short time frames
Highly success-based compensation structures align
interests of clients and NOAH Advisors, and demonstrate
conviction to deliver top results
Creative deal solutions
December 2014
October 2014 May 2014
Sale of 100% of
for $800m to
Exclusive Financial Advisor to
Fotolia and the Selling Shareholders
Sale of 100% of
for €80m to
Exclusive Financial Advisor to
Trovit and its Shareholders
sold 100% of
for $228m to a joint venture between
Exclusive Financial Advisor to Yad2
and its Shareholders
Unique Industry Know-How
Unmatched Network and Relationships
Strong Investment Banking Competence
Full Commitment - We Are Entrepreneurs!
EUROPE’S LEADING INTERNET
CORPORATE FINANCE BOUTIQUE
October 2016
July 2018
December 2016
®
The NOAH Advisors Core Banking Team
Investment in
Exclusive Financial Advisor to KäuferPortal
and its Shareholders
by
84% Ownership
Exclusive Financial Advisor to
PromoFarma and its shareholders
Financial Advisor to Silver Lake
Investment in
by
September 2018
August 2017
Financial Advisor to 10bis and its shareholders
Financial Advisor to EMK Capital
Acquisition of a Majority Stake in
by
at a valuation of $200m
Marco Rodzynek
Managing Director & Founder
Jan Brandes
Managing Director
Nikhil Parmar
Director
Olek Skwarczek
Analyst
Lukas Schlund
Analyst
Sale of 100% in
to
Sale of 100% in
for €135m to
10Bis