SUBEXLTDNSE9 August 2022

Further to our letter dated August 8, 2022, intimating the details of Earnings call, and pursuant to Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, plea...

Subex Limited

August 9, 2022

The Secretary BSE Limited Phiroze Jeejeebhoy Towers Dalal Street, Mumbai- 400 001 Fax: 022-2272 2037/2039/2041/3121 BSE Scrip Code: 532348

Dear Sir/Madam,

The Secretary National Stock Exchange of India Limited Exchange Plaza, 5th Floor, Plot no. C/l G Block, Bandra-Kurla Complex Bandra (E), Mumbai - 400 051 Fax: 022-2659 8237/38; 2659 8347/48 NSE Symbol: SUBEXLTD

Sub: Subex Limited “The Company”- Investor Presentation for Q1 FY23 on August 10, 2022

Further to our letter dated August 8, 2022, intimating the details of Earnings call, and pursuant to Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, please find enclosed the Investor presentation for Q1 of FY23 for the Earnings Call scheduled to be held on Wednesday, August 10, 2022 at 12.00 Noon (IST).

Kindly broadcast the same on your website.

Thanking you

Yours truly, For Subex Limited

G V Krishnakanth Company Secretary & Compliance Officer

`

Investor Presentation Subex Limited

Aug 2022

August 22

Proprietary and Confidential

www.subex.com

Table of contents

1

2

3

4

Company overview

Quarterly financial performance

Recent updates

Leadership team

Slide 4

Slide 18

Slide 24

Slide 29

3

Nature of Business

Pioneer in enabling Digital Trust for businesses globally

Focus on six tenets of Digital Trust like privacy, security, risk mitigation, identity and intelligence to enable trust across people, processes & systems

Management

Managed by handpicked professionals from a cross-section of the industry

Supported by an experienced second in line management team

Products

AI Orchestration

Business Assurance

Fraud and Security

Network Analytics

Partner Ecosystem Mgmt.

Advanced Analytics

IoT Security

Identity Analytics

Subex’s evolution as a product company has always reflected our ability to foresee an emerging need or a trend, and then build capabilities to help our customers address the inherent challenges that come with that trend.

Subex Today

1994 Foundation of Company

25+ Foundation of Company

1000+ Employees

300+ Global Installations

90+ Countries

200+ Customers Globally

40+ Industry Awards

US$ 4 mn R&D spend in new areas in FY22

US$ 110.93 mn

Total Contracted Backlog as on 30th Jun’22; of above next 12Months Backlog US$ 34.67 mn

7

Our Strategic Framework

8

Our Portfolio

11

Democratizing AI at scale Subex aims to bring about AI adoption at scale by enabling Access, Automation, and Acceleration of AI.

Access Expand the group of users that use AI/ML for analytics in an organization

Automation Automate activities across the Data Science & Machine Learning lifecycle

Acceleration Accelerate the time to value for Data Science and Machine Learning projects

Our aim is to help enterprises realize the full potential of AI by democratizing it at scale. We intend to create over 100k Citizen Data Scientists over the next 2 years.

12

Advantages of HyperSense Platform

13

Investment Rationale

IDcentral Updates

o SaaS clients onboarded in Q1 – 3

o Telecom clients onboarded in Q1 – 1

o Successful rollout of EKYC platform for Econet Lesotho with national level launch

Sectrio Customers

Manufacturing

Public Sector

Telecom

Smart Cities

Transportation

Oil & Gas

16

Why Subex is the preferred partner for Digital Trust

Quarterly Highlights

19

Financial Highlights – Q1 FY23

§ Operating Revenue at Rs 833 Million vs Q4 FY22 Rs 788 Million up by ~ Rs 45 Million.

§

EBITDA at Rs 7 Million vs Q4 FY22 Rs 10 Million ; EBITDA margin 0.85%

§ PBT at Rs 5 Million; PAT at Rs 55 Million.

§ During the quarter ended June 30, 2022, an amount of Rs 86.6 Million was provided on a conservative basis as

doubtful debts towards receivable from one of the customer. Notwithstanding the provision, the management is

t

confident to recover the aforesaid amount

§ Normalized EBITDA stands at Rs 94 Million increase by Rs 84 Million compared to previous quarter.

§

EPS is at Rs 0.01.

Other Information § DSO stood at 97 days, excluding unbilled trade debtors

§ As on 30th June 2022, total contracted backlog is US$ 110.93 Million; out of this the next 12 months backlog t

is US$ 34.67 Million

§ Cash & cash equivalents is Rs 1,007.6 Million (including term deposits and LMF).

Revenue Metrices – Q1FY23

Revenue by Region

Revenue by Service

16%

3%

63%

29%

3%

27%

2%

53%

56%

18%

16%

15%

Q1FY21

Q4FY22

Q1FY23

Americas

EMEA

India

APAC and ROW

33%

31%

38%

39%

29%

30%

41%

31%

28%

Q1FY21

Q4FY22

Q1FY23

Implementation,customisation, license

Support service and others

Managed Services

Consolidated Financial Performance – Q1FY23

Particulars (All Figures in Rs Million) Income Revenue from operations Other income Total income Employee benefits expense Other expenses EBITDA EBITDA Margin % Depreciation Finance Cost Profit before tax Tax Expenses Net Profit / (Loss)

Q1 FY23 30-Jun-22

Q4 FY22

Q-o-Q

Q1 FY22

Y-o-Y

31-Mar-22 Growth %

30-Jun-21 Growth %

832.6 26.5 859.1 515.6 309.9 7.1 0.9% 26.1 2.8 4.7 -50.7 55.4

788.0 20.0 808.0 541.2 236.7 10.1 1.3% 24.8 3.2 2.1 -4.0 6.1

5.7%

6.3%

-29.7%

123.8%

3.3%

-1.6%

-95.6%

-97.7%

806.0 67.1 873.1 510.7 133.3 162.0 20.1% 24.2 4.1 200.8 66.0 134.8

Consolidated Annual P&L - Subex

Particulars (All Figures in Rs Million)

FY22 31-Mar-22

FY21 31-Mar-21

FY20 31-Mar-20

FY 19 31-Mar-19

FY 18 31-Mar-18

Income Revenue from operations Other income Total income Employee benefits expense Other expenses EBITDA EBITDA Margin % Depreciation Finance Cost Profit before tax and exceptional items Exceptional items Profit Before Tax Tax Expenses Net Profit / (Loss)

3,334.40 103.70 3,438.10 2,144.90 838.10 351.40

10.5%

98.80 19.40 336.90 - 336.90 127.00 209.90

3720.30 47.40 3767.70 1972.00 763.30 985.00 26.5% 137.80 29.60 865.00 28.70 893.70 376.50 517.20

3649.80 56.30 3706.10 1745.40 962.60 941.80 25.8% 150.80 47.70 799.60 -3176.60 -2377.00 314.50 -2691.50

3481.20 10.10 3491.30 1910.50 1051.00 519.70 14.9% 48.30 10.70 470.80 0.00 470.80 218.60 252.20

3243.20 14.00 3257.20 1747.10 1186.70 309.40 9.5% 51.70 44.20 227.50 116.60 344.10 137.30 206.80

Contribution to Industry Forums

GSMA FASG#23

GSMA Africa FASG#56

RAG New Orleans Conference

A Glimpse into Next-Gen Risk Mitigation

Tackling frauds in the mobile money ecosystem:

Subex's Product Updates

A case study of MTN Eswatini

Optimizing Revenue Assurance operations for 5G

CFCA Fall Educational Event

Fraud Now and Then- A Retrospective of CFCA Fraud Loss Survey Results Over the Years

TFRM

TM Forum Collaboration

Adopting an AI-first approach for Fraud Management

• GB1004B Business Assurance

Transformation – Margin Assurance

• GB1004C Business Assurance

Transformation – Asset Assurance • GB1004D Business Assurance 5G Risks

& Controls Map

25

Media Coverage

26

List of IPs from AI Labs

Patents

Papers in Conferences

o Methods and Systems for Correcting Skew in

Images, India patent application No: 202241018838).

o Methods and Systems for Advanced Optical

Character Recognition, filed under US jurisdiction.

o Methods and systems for secure face liveliness

detection, filed under US jurisdiction, India patent application No: 20224103989

o

A Template Invariant Systems and Methods for 360- degree Skew Correction in Document Images, to be filed soon under US jurisdiction.

o A Comparative study of Hyper-Parameter

Optimization Tools, presented in IEEE Asia Pacific Conference on Computer Science and Data Engineering, Brisbane, Australia, December 2021.

o An Ensemble Model for Face Liveness Detection,

presented at Machine Learning Developers Summit, Bangalore, India, January 2022.

o A PSO Based Method to Generate Actionable

Counterfactuals for High Dimensional Data, under review in IEEE International Conference on Data Mining.

o Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method – accepted and presented at ICDAR 2022.

List of IPs from AI Labs

Open-Source Contributions

o ExploriPy - a library to do exploratory data

o DeepRL - TensorFlow Framework for

analysis.

Deep Reinforcement Learning

o Dominance - Analysis – a library for accurate and

o Tefla - Built on top of TensorFlow for

intuitive relative importance of predictors.

fast prototyping of Deep Learning Algorithms.

o Datum - A system for TensorFlow Record Dataset

Management

Talks

Forum Participations

o Using Dominance Analysis for Accurate and Intuitive Feature

Importance, in PyData Global 2020.

o Leveraging Game Theory for Explainable AI, in Plugin Virtual

Conference, 2020

o Counterfactual Analysis for Explainable AI, in PyData Global 2021.

o Measurement of Trust in AI

environment – won sustainability leadership award in TMF Catalyst program, 2021.

30

Thank you

investorrelations@subex.com | +91 8037451377

August 22

Proprietary and Confidential

www.subex.com

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