We Help Businesses Excel And Solve Complex Problems With Technology.

1. Incedo Inc
Building the Future of Monitoring with Artificial Intelligence
Confidential and Proprietary - Incedo Inc

2. Our Second
Acquisition–
increased focus on
specialized skills
Launched Incubation
Lab for clients
• Specialized Product Engineering Services and Data
& Analytics Competency
• Expertise in Financial Services, Life Science and
Communication Engineering
• Focused on Emerging Technologies and Innovation -
in the context of our clients’ businesses
• Bay Area Headquartered - 1500 employees across
North America, South Africa and India (Gurgaon,
Bangalore)
• End-to-end capabilities across Application Services,
Infrastructure and Operations
• Agile, responsive engagement models
0
200
400
600
800
1000
1200
1400
1600
2011 2012 2013 2014 2015 2016
Employees
Incedo Spun out of a
diversified $4B Conglomerate
Started US & South Africa
Operations
Started Life Sciences
and Data & Analytics
practice
• 35+ clients
• Growth of 75%+ y-o-y
Our First Acquisition - grew
Product Engineering Services
Started work with US based
Tier 1bank
We Help Businesses Excel And Solve Complex Problems With Technology
Incedo Overview
2
Success is proven by growth of more than 671% since its inception in 2011
Incedo in the list of Top 10 Emerging Analytics Start-ups for the year 2016
Our Offices
•North America
•Santa Clara, New Jersey & New York
•South Africa
•Cape Town & Johannesburg
•Asia-Pacific (India)
•Delhi, Bangalore, Chennai & Mumbai
Confidential and Proprietary - Incedo Inc

3. We are building a special technology firm and the world has begun to take
note
Incedo is an INC 5000 awardee – fastest
growing private companies in North America
Incedo recognized by Dataquest for 85% growth
Incedo is one of Top 10 Emerging Analytics
Start-ups for the year 2016
Incedo is one of 20 Most Promising Tech Service
Providers
by CIOReview
Incedo ranks #16 on CRN’s Fast Growth
150
3
Confidential and Proprietary - Incedo Inc

4. Feasibility Go-No go
Pilot Project/ Joint
Investment
Full Scale
Development
What We Do How We Do it
Frameworks
Proof of Concept
Accelerators
Follow Technologies
Track Trends
Rapid Prototyping
3D Visualization Framework on Mobile devices Machine Learning for Edge DevicesMaster Data Management Solution
Accelerators
Accelerators/ Frameworks
IoT Incubation Labs at Incedo
We Partner With Our Clients to Build Smarter Solutions for Them
4 Confidential and Proprietary - Incedo Inc
AI & NLP Solution – Voice Based BoT
Framework
Incubation LabsIoT & Connected Devices AI, NLP, Machine Learning Mobility NFV & Cloud
Virtualization

5. IOT EVOLUTION AND FUTURE TRENDS
Incedo’s Perspective of IoT Market
Confidential and Proprietary - Incedo Inc
5

6. Internet has come a long way since 1980s but now it has
entered into the most exciting phase
6
Confidential and Proprietary - Incedo Inc

7. Driven by proliferation of connected devices & sensors
Monitoring and
Control
Multi-transport and
Multi-function Devices, Sensors
High Speed Wireless – 4G, 5G
Delivering Experience to
Consumers
Connectivity and Mobility
Converged, Secured and
Collaborative Operations
Digitized
Connected
Services
Enabled
7
Confidential and Proprietary - Incedo Inc

8. Number of people vs number of connected “things”
By the end of this decade 212 billion “things” are going to be
connected to the internet
2003
0.1
2010
1.8
2020
30
Consumer
60%
Industrial
40%
2015
3.5
Connected Devices Per Person
We are here, 99.9% of things
are still unconnected
8
Confidential and Proprietary - Incedo Inc

9. 2020 View : Human Centric IOT - “4th Wave, 1.5T+Users/Things”
Enabling Man-Machine Collaboration led by Robotics & Artificial Intelligence
Open Innovative
eco system
Sensors
Devices
Machines
System
of
Engagement
System
of
Records
Benefit
To
Humans
Human
Empowerment
Machine
Intelligence
Connected
Infrastructure
9
Confidential and Proprietary - Incedo Inc

10. IoT has many dimensions… and is a Journey…
10
Emerging Industrial IoTIoT Foundation
Disconnected Connect & ControlConnect
Product Smart Product Smart
Connected
Product
Connect | Operate | Optimize
Remote Monitoring &
Diagnostics
Extend to Ecosystem
Smart Factory – Asset Tracking |
Predictive Analytics |
Robotics |Artificial Intelligence
Industrial operations are increasingly connected and monitored with connected devices. Exabytes of data is
being generated by these devices, but only a fraction of it is being used in a meaningful way to derive insights
and take real-time actions. What is next in industrial evolution?
Confidential and Proprietary - Incedo Inc

11. Future of Industrial IoT would be Led by AI & Machine Learning
iRobot Romba
Sentrian - Disease
deterioration modeling
platform
Amazon Echo
Artificial Intelligence is turbocharging
industries that are generating massive volumes
of data through their IoT investments.
11
Confidential and Proprietary - Incedo Inc

12. CASE EXAMPLE : COMPUTATIONAL INTELLIGENCE
FOR INDUSTRIAL IOT
Incedo’s Experience : Future of Monitoring Led by Artificial Intelligence
12
Confidential and Proprietary - Incedo Inc

13. 13
Continuous
Monitoring
Safety
Operational
Visibility &
KPIs
Predictive
Maintenance
Performance
&
Optimization
Asset
Utilization
Real-time Response
Fast Data : Sub-second
Long Term Analysis
Big Data : Months-Years
Biggest IIoT challenge: deliver business value?
Customers: Early stages of IoT
Confidential and Proprietary - Incedo Inc

14. 14
Industrial safety solution
40+ TB per year
120GB /day of sensor data
Industrial safety solution
Big Data: 40+ TB per year Fast
data: sub-second alerts
Hybrid engine manufacturer
Big Data: 720 TB data
Fast Data: 20M Events/Sec
Benefits:
• Operational Safety & efficiency
• Regulatory compliance.
Benefits
• New revenue & services
• Predictive maintenance
14
IIoT business value is driven by both big & fast data
Safety
Performance
&
Optimization
Managing sensor data is key to the value driven by
Industrial IOT. Data from 50 billion sensors will
generate 35 ZB annual data. 60% of this data is
going to be generated by Industrial IOT.
Confidential and Proprietary - Incedo Inc

15. 100’s
sensors
Edge
gateway
15
1000’s
sensors
Edge
gateway
High
Cost
Massive
Data
Low
Bandwidth
Cloud
Analytics
Fast
Data
Big
Data
Ingestion Rate
100,000+ data points/second
1000’s of locations
IIoT pain with big and fast data
Programming updates
Continuous learning
Amount of data generated by industrial location is very large and coupled with low BW connectivity presents
unique challenges. 20 billion terabytes of industrial sensor data will be generated annually by 2020 * Intel/Cisco
Confidential and Proprietary - Incedo Inc

16. 2,000 Engines
5,512 Sensors
each
2 Samples/sec
Incedo’s Solution – Machine Learning & Data Compression
720 TB/Year
$1.8M on 4G LTE
Edge Analytics
Not enough
Compute
Programming
takes months
Real time lossless data
40x
Compression
Deploy in
days
Solution builder tradeoffs - Drop data
or face increased cost or forgo- real
time analytics
Machine Learning for Edge (Partner Solution)
Sensor Health &
Cleansing
Data Accelerator
(Data
Compression)
Anomaly Detection
16
Confidential and Proprietary - Incedo Inc
Solution is 2 fold - 1st is crunch the data at edge so that your
can enable latency sensitive applications that require real
time or near real-time response and 2nd is to enable sending
of more data to cloud so you customers can have a global
view on analytics and leverage their existing big data
investments .

17. CASE EXAMPLE : NLP FOR SMART OPERATIONS
Incedo’s Experience : Future of Monitoring Led by Artificial Intelligence
17
Confidential and Proprietary - Incedo Inc

18. Text, Voice or Personae – Incedo’s Guided Autonomous Intelligence
Overview of Incedo’s BOT Solution Framework
Confidential and Proprietary - Incedo Inc
18
BOT – Solution which can respond “intelligently” to input (voice and/or text)
Intelligence = Input parsing + Context + Knowledge database+ Interactive Output
• Voice/Video to text
• Language parsing
o N-gram analysis
o Entity Identification
• Building Knowledge Database
o Supervised Training
o Unsupervised Training (Machine Learning)
• Context Management
o Domain Specific knowledge
• User Experience
o Responsive
o Rich
o Interactive
Input to entities
Entities to format
Context
Dictionary
NLP
Engine
Text
Web
Voice
SMS
App
RSS
Management
Interface
Domain Unsupervised data
Typical Voice/Chat BoT Application
User Inputs
• Supervised Configuration
• Analysis
Incedo has experience in all elements of BoT solutions for Industrial, Healthcare and Communication Engineering

19. Personal Chat Assistance for Smart Operations
19
Case Example : Leading US-Bank required a Robotic Personal Chat Assistant that can be integrated with different internal
applications within Banks Framework. The Interactive chat BOT eased the use of reporting platform by addressing
common queries and requests of internal employees using existing reporting frameworks in the backend.
Developed solution over Python NLTK with Web, IoS and Mail based interfaces
Confidential and Proprietary - Incedo Inc
Front
End
Core Engine
Report
Generator
Simulator
Look
Up
Data
Trained
Model
NLTK Model
1
3 4 5
2
Sentence
tokenization,
pos tagging
Report Dictionary
6
Classifi
cation
Rest
API
Raw
Text
User Input
Eg: Filter &
Output type

20. Augmented workforce for efficient engineering operations
ASR Engine
Service BOTs in Smart Operations which
can answer simple speech based
questions for routine operations, identify
items, search inventories, act as a guide
and even summon experts for a video
chat
Please confirm the order “Pick up at
Bay1, Inventory Lot 5…and Drop point:
Bay 2, Loading No.7….
Confidential and Proprietary - Incedo Inc
20
An example of speech based routine
operations for shipment of materials

21. CASE EXAMPLE : DIAGNOSTICS AS A SERVICE
Incedo’s Experience : Future of Monitoring Led by Artificial Intelligence
21
Confidential and Proprietary - Incedo Inc

22. “Smart Car” IoT Service – PoC Overview
• Telemetry Data Agent (TDA) uploads car data to the
IoT backend service
• IoT Backend service (AWS IoT) detects abnormal car
health conditions (Accidents, Low Battery, Engine &
coolant temp, Fuel )
• IoT Backend service notifies Car users and 3rd party
service providers about abnormal conditions
• Portal (UI) provides Traffic view, Hazard declaring
view, Car service Vehicle analytics view and Hospital
Accident/Emergency service views
• Mobile App is used for Registration purpose, View
his/her Car health stats, get notified on bad health
conditions, get notified if family/friend vehicle has
met with accident and details/status of hospital
attending. Raise alarm by the owner if need
emergency hospital or service need attention
Telemetry Data
Agent (TDA)
Car Data
3rd Party Service provider RESTful
Applications
Notifications
Mobile App
IoT Backend Service
(AWS IoT)
Diagnostics As a Service for Aftermarket Cars Maintenance
Confidential and Proprietary - Incedo Inc
22

23. Incedo Automated Testing Framework (ATF) for Industrial IoT
Overview
Confidential and Proprietary - Incedo Inc
23
Incedo Automated Testing Framework (ATF)
SUT Adaptation Engine: Tools/solutions to adapt ATF to SUT solution space
Framework Core
(Configuration, Execution, Log Analysis , Reporting
Engine; Core Libraries)
Test Scripting
Engine
(Scripts, Data, Suite)
Reporting
Engine
Database
Highlights
- Automated testing framework
(Single Click)
- Single Node as well as End-2-End
Solution Testing capabilities
- Flexibility in adapting to solution
domain
- Wide range of reporting,
charting and trend capabilities
- Ease of integrating of
opensource/ commercial test
solutions into ATF
- XML based scripting
- Low/No ramp-up time required
for scripting
Network under Test
Test Tool A Test Tool B
Test Tool C
SUT
SUT
SUT
SUT
Case where SUT is a multi-node solution; Test Tools can be tools for injection and/or probe

24. www.incedoinc.com
info@incedoinc.com
Thank You.
24
Note
The content and data shared in the proposal is Incedo proprietary and is intended for the party with whom the
presentation is shared. It cannot be shared, copied or redistributed without Incedo’s formal consent.
Confidential and Proprietary - Incedo Inc