Finance
Contact centers
Risk assessment
Fraud detection
HR & security vetting
Machine-human interface
Healthcare
Forensics
Entertainment & match-making
Research
Finance
Contact centers
Risk assessment
Fraud detection
HR & security vetting
Machine-human interface
Healthcare
Forensics
Entertainment & match-making
Research
Harness the powers of advanced voice analysis and AI decisions engines and discover the genuine emotions
fuelling your clients and teams to maximize your decision-making process and results.
Layered Voice Analysis (LVA™) is a one of a kind technology that analyses human voice to detect and measure uncontrollable emotional and cognitive states.
The voice analysis technology focuses on underlying vocal biomarkers, revealing genuine emotions that may be masked by a person’s choice of expression.
LVA™ works in any language, culture prosody and expressive style and can be used on-demand anywhere in the world.
LVA™ analysis is not affected by race, gender, age, or cultural traits.
Emotion Logic's AI kicks in to offer you better predictions regarding future behavior of your users, customers, patients or employees.
Emotion Logic empowers your decisions regardless of the speaker's role (client, employee, patient etc…), your KPI (sales, wellbeing, fraud prevention etc…), the language being spoken or the level of integration into your workflows.
AI will power
95%of customer interactions by
2025.
By 2025, AI identification
of emotions will influence
of the messaging a buyer
receives.
Emotional AI Market
is Expected to Rise to
by 2026.
of our purchase decision making takes place in the subconscious mind. Emotions are what really drives purchasing behavior, and decision making in general.
A recent survey found that
75%of organizations are investing or planning to invest in
emotion AI.
Listen to Emotions
Understanding the underlying genuine emotions of what is being said is crucial to making better decisions.
Stream human voice from various sources and access deep insights.
Analyze Emotions
Emotion Logic uses Layered Voice Analysis (LVA™) to identify and analyze 17 genuine emotions.
The deep emotion insights are available using pre-recorded audio or real-time streams.
Predict Behavior
Emotion Logic's AI kicks in to offer you better predictions regarding future behavior of your users, customers, patients or employees.
Make Better Decisions
With Emotion Logic's human analytics, great managers don’t have to worry about uncertain data, instead you can now make even better decisions based on solid data, improve results and maximize your ROI.
Finance
Contact centers
Risk assessment
Fraud detection
HR & security vetting
Machine-human interface
Healthcare
Forensics
Entertainment & match-making
Research
Finance
Contact centers
Risk assessment
Fraud detection
HR & security vetting
Machine-human interface
Healthcare
Forensics
Entertainment & match-making
Research
It takes under a minute, no credit card required AND we're giving you free analysis credits!
We have created custom, per use-case applications to give you just the data you need. Choose your application, set up your docker or cloud API and you're all set within minutes!
Need more in-depth info? We put it all right there for you.
Run your voice recordings or even real-time streams through Emotion Logic's analytics engines to unlock the rich emotion data in a heartbeat.
Bring genuine emotion data into your dashboards, app UI and workflows – or access insights directly on Emotion Logic Hub.
With deep and actionable insights at your fingertips, you can make better people-driven decisions.
We found a clear gap between customers’ expressed reactions and their actual level of satisfaction.
the customers genuine emotions revealed that as much as 70% (!)
of the calls ended with high levels of stress and aggression, despite customers’ expressed satisfaction.
Changes applied by these findings had an immediate effect showing significant increase in customers’ satisfaction.
HR risk management shows that our most valuable assets could also be our greatest weaknesses.
Nemesysco’s HR solution is the first filter that our clients use at the recruitment process, and it is considered indispensable...
We measured as much as 80% decrease in risky conducts and it greatly reduced personnel rotation over the last 3 years.
Ethics solutions are about anticipating the risks of undesirable behaviors, and allowing organizations to save time, money and efforts, as well as build internal trust in its ecosystem.
Nemesysco’s technology provides important and unique data during the recruitment process.
Together with Ethics Data Analytics we can recognize quickly and retain the best team members.
Detecting and analyzing emotions with technology is a proven fact and its use is growing exponentially.
In 2020, this market was estimated at $29 Billion and it is expected to grow to $400 Billion in 2030.
Used initially for forensic investigations, these technologies naturally migrated into fraud detections for insurance agencies and loan default risk detection for financial institutions.
Now the use of emotion detecting and analyzing technologies is growing into fields such as contact centers, healthcare, marketing research, dating services etc… because it empowers decision makers to better understand human motivation
and predict future behavior.
Of all the emotion-detecting technologies, voice analysis is one of the most wide-spread and least intrusive.
People tend to hide their emotions. For example, 64% of the UK population admits to hiding their true feelings: 59% do this at work, 24% with their life partners and 14% with their doctors.
In any interaction, predicting future behavior is a key to success and when people hide their emotions, they are naturally harming the rates of mutual success. This is true when dealing with clients, employees, patients, voters, life partners etc…
Since human behavior is a direct result of emotions, the ability to detect, gauge and understand emotions increases
the probability of predictions.
Affective computing not only empowers decision makers to predict behavior, it also empowers them to understand the underlying emotions which lead to such behavior.
AI is revolutionizing the way people make decisions and do business.
The good news is that AI allows decision makers to identify potential edge-makers and game-changers at scale by incorporating behavior prediction into the decision-making process.
The better news is that the implementation rates and success rates of AI technology are constantly rising.
Although there isn't an AI system nor a lie detector which will be 100% successful, any success rate over 50% already offers an edge and as the success rates get higher, your return on investment will improve.
It’s not a question on whether to use affective computing or not: it’s simply a question of which technology to use, the level of integration and the time-line.
The Journal of Finance Volume 67, Issue 1, pages 1–44, February 2012, Duke University – Fuqua school of business
Jessen L. Hobson (College of Business, Illinois), William J. Mayew and Mohan Venkatachalam, Fuqua School of Business, Duke University...
Read More
JCR Journal of Consumer Research, February 25, 2021
This research examines how vocal tones impact persuasion in an online appeal. It supports the hypotheses that appeals are more successful when persuaders’ vocal tones as...
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2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Acropolis Convention Center, Nice, France, Sept, 22-26, 2008
Hashimoto, Minoru (Shinshu University), Yamano, Misaki (Shinshu University), Usui, Tatsuya (Shinshu University), 2008 IEEE/RSJ International Conference on Intelligent...
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“Seishin Igaku” (Psychiatry) Magazine, October 2008 – ISSN: 0488-1281, ISBN: 05627
Nemoto K1, Tachikawa H1, Takao T1, Sato H1, Ashizawa Y1, Endo G1, Tanaka K1, Ishii R1, Ishii N1, Hashimoto K1, Iguchi T1, Hada S2, Hori M3 and Asada T3...
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Armenian Journal of Mental Helth, 2018
The article substantiates the need to use computer tools for assessing the emotional state of a person, as well as lie detection. The article describes the LVA™ technology and th
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Moscow state Law Academy, 2019
The article is aimed at judges and employees of investigative bodies. Specific examples show the effectiveness of using LVA™ technology in the forensic...
Read MoreAdd our emotion detection APIs to your technological stack and promote emotion-detection and risk assessment capabilities to your customers across a wide range of use cases.
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