Nemesysco develops voice analysis technology that can identify hidden emotions and assess truthfulness by analyzing uncontrolled properties of the voice. Their Layered Voice Analysis technology can detect various emotional states. They apply this technology to products like LVA-i for pre-employment screening and integrity assessments of employees. LVA-i balances accuracy, time, and cost compared to alternatives like polygraphs. It uses questionnaires and automated reporting to assess truthfulness and suitability of candidates. Nemesysco cites case studies where their technologies helped reduce fraud, customer complaints, and call times at various companies.

1. Voice Analysis Technologies

2. What is Nemesysco’s Voice Analysis
Technologies all about?
It is NOT about
what we say or how we try to
sound…
It is about
how we truly feel about it

3. Nemesysco
Voice Analysis Technologies
For the past 17 years
We’ve been researching and developing a unique
emotion analysis technology based on
proprietary measurements of the human voice.

4. Nemesysco
Voice Analysis Technologies
Our voice data was collected from various real-life
sources and controlled experiments from all over
the world in order to insure our technology is
language independent.

5. People can’t control their genuine
emotions as they are expressed in the
voice.
Nemesysco’s technology is unique in it’s ability to identify
the unexpressed and genuine emotions as it is based
on uncontrolled properties of
the voice.
Uncontrolled expressions
Vs. Acted ones

6. Nemesysco
Layered Voice Analysis (LVA)
Nemesysco provides various solutions powered by
“Layered Voice Analysis” (LVA) technology
SENSATIONS:
Positive, Conflict, Negative
Stress, Excitement, Hesitation,
Confusion, Mental Effort
Concentration, Embarrassment,
Energy, Profound Emotions
Arousal, Depression
Anger, Sadness, Happiness,
Clinical States

7. Fraud Detection
Security
HR Screening
Call Center
Nemesysco’s products
powered by LVA technology

8. Integrity Assessment Systems
For HR Screening

9. On a daily basis HR managers need to choose
between:
Why LVA-i?
highly reliable, but uncomfortable
and expensive evaluation
procedures
low cost testing, but to
expect far less reliable
results.
to
Polygraph Pen & paper LVA-i
Accuracy
Time
Price
Integrity Assessment Systems
For HR Screening

10. Why LVA-i?
On a daily basis HR managers need to choose
between:
highly reliable, but uncomfortable
and expensive evaluation
procedures
low cost testing, but to
expect far less reliable
results.
to
Polygraph Pen & paper LVA-i
Accuracy
Time
Price
Integrity Assessment Systems
For HR Screening

11. . Immediate availability
. Optimal accuracy
. And a fair price tag
Polygraph Pen & paper LVA-i
Accuracy
Time
Price
Nemesysco’s LVA-i balances between:

12. LVA-i is a vetting and assessment platform that
integrates our unique voice analysis technology
with carefully designed sets of questionnaires.
What is LVA-i?

13. LVA-i has two applications
1
2
Pre-employment
The initial phase of the recruitment
procedures.
Periodical
Periodical test for all levels of
employees – organizational
“honesty maintenance”.

14. The LVA-i’s assessment process
1 2 3

15. Emotional reactions
during an integrity assessment
Nemesysco’s technology will be most effective in
detecting emotional reactions under the following 3
conditions:
When the interviewee is motivated to convince
When the interviewee knows that he is not telling the truth and
he has an intention to deceive
When the interviewee has something to lose if caught lying
1
2
3

16. LVA- i Automated Report Logic

17. Personal and current
History
3rd Party
Background attitude
LVA-i questionnaire
Funnel approach

18. Confidentiality and
Secrecy
Theft from your place of
employment
Bribery and Kickbacks
Fraud and Deceit
Team work
Drug usage
Alcohol Consumption
Gambling
Loyalty to the company
LVA- i Standard questionnaire’s topics

19. Risk test
Personality test
Management skills test
Job specific test
(Drivers, Cleaners, guards)
LVA- i tailor made questionnaires

20. LVA-i has 2 modes of operation
1
2
Over the phone
Structured interview assisted by a phone
operator
Interactive post
Automated interviewing procedure in a
Man-PC interaction

21. LVA-i is friendly and intuitive…
No age, gender or ethnic bias
Language independent
Automated report generation
Intuitive and easy to understand reports
Enables mass vetting in short time frames

22. LVA-i Reports

23. Case study
Castel Detect™ - NORTHSTAR Companies
Northstar relies upon Castel Detect™ for monitoring live conversations,
detecting incidents of business risk and measuring agent performance.
54% Decrease in Escalated Customer Calls
Today, Castel Detect™ provides Northstar agents the ability to easily identify emotionally charged calls. Agents
are successfully reengaging customers to deliver successful resolution and customer service during live calls.
63% Decrease in Customer Complaint Letters
As not all customers request to speak to a supervisor at time of issue, customer complaint letters, too, have
dropped at Northstar. Not only is this a positive result demonstrating first call resolution, but an additional
benefit in reducing time invested managing customer letters.
35% Decrease in Call Handle Time
The technical correctness of a call for Northstar includes compliance, successful solution, business commitment
and customer satisfaction. Each is vital to Northstar’s corporate philosophy. Ensuring customers are provided
necessary disclosures and given suitable remedies all while receiving best in industry customer service requires
appreciation and strategic use of one’s time. Since employing Castel Detect™, agents have shown increased
communication effectiveness resulting in decreased call handle time.

24. Case study
MTS - Mobile TeleSystems OJSC (Russia, 2006)
Method
• Ran analysis on 81,000 calls
• Thoroughly researched - 3,000 calls
• Compared QA5 analysis to MTS
contact center supervisors analysis
(same calls)
Findings
• 77% compliance between QA5 analysis
and MTS supervisors on all calls
(marked “Good”/ “Problematic” / “Bad”)
• 95% compliance on marking of “Good /
Normal” calls
Conclusion For off-line quality check
• Listening to 3% of the QA5 marked calls is enough for finding 30% of bad calls
handling by operator
• Listening to 1.8% of the QA5 marked calls is enough to find 40% of bad calls by
customers
• Using QA5 can reduce by up to 4 the time supervisor spends listening to calls and
allows him to listen to up to 9 times more calls
*MTS is the biggest cellular operator in Russia, with over 90 million customers

25. Case study
RA7 Fraud prevention solution at UNIQA Insurance (Hungary, 2011)
Sample incident: a 4.3 magnitude earthquake in Hungary, Europe. Saturday, January
29, 2011 at 17:41
The day after the earthquake: 163 claims were submitted over the phone.
• The further away from the epicenter of the quake - the more fraudulent claims
were recorded
• Operators in the call center were able to handle and defeat fraudulent claims as
they were received by phone
• Only 119 claims were found to be truthful & 44 (27%) to be fraudulent
Magnitude
Legitimate
claims
High Risk
claims
4.3 99 2
3.6 20 18
2.2 0 18
1.3 0 6

26. Case study
Domodedovo International Airport (Moscow, 2005)
Method
The focus of the pilot was to ascertain the feasibility and accuracy of the GK1 in the detection of
drug smugglers entering Russia via the airport. The local RDEA authorities selected a number of
passengers from each flight. These selected passengers were tested by the GK1 Standard Post
system - they were then tested by the GK1 Online Post and then finally, were physically checked
for possession of drugs.
Findings
• 11.6% of the passengers tested were found by the automatic questionnaire to be Red. All of
these passengers were then cleared by real-time interview. These numbers were confirmed by
physically checking the passengers
• There is 100% accurate match between the results given by the GK1 system and the actual
physical examinations
Gree
n
Inconclusiv
e
Red
Automatic
questionnaire 437 1 58
Real-time interview 495 1 0
Physical check 496 --- 0
• In one case, the GK1 system indicated that a passenger is
somehow connected to Drugs. We were later informed that
this passenger was in fact a drug dealer, and that police
intelligence had already marked him
• No Red passengers were found during the pilot period

27. MMI Group
8 Illinska st., 3rd Entrance, BC "Illinsky“
Kyiv, 04070, Ukraine
tel.: +38 (044) 237-70-81
e-mail: info@mmigroup-it.com
www.mmigroup-it.com
Thank you!
IT-innovations. Strongly recommended!