AI LABS

Custom AI Development Services

FROM LAB TO BUSINESS

Connecting Business with the latest AI expertise

We Understand Your Needs

At AI Labs, our agile team of US-based Ph.D. experts transforms audio and text data into actionable insights. What sets us apart is our unique ability to detect behavioral signals—emotions, traits, and social dynamics—that drive human decision-making. From discovery to deployment, we deliver tailored AI solutions faster, empowering your business to thrive.

CUSTOMERS WHO TRUST US

R&D LEADS

Shrikanth Narayanan, Chief Scientist, Behavioral Signals

Prof. Shrikanth Narayanan,
Chief Scientist & Co-founder, Behavioral SIgnals
Scientific Lead, USC

Theodoros Giannakopoulos, Director of Machine Learning, Behavioral Signals

Theodoros Giannakopoulos
Director of ML, Behavioral Signals
II&T, NCSR Demokritos
ML Lead

Nassos Katsamanis, VP of Engineering, Behavioral Signals

Nassos Katsamanis
VP of Engineering, Behavioral Signals
Technical Lead, ATHENA

DOMAINS OF EXPERTISE

Emotion AI

  • Real-time emotion recognition from
         speech signals.
  • Emotion analytics for healthcare,
         education, and customer service.
  • Culturally aware emotion detection
          models.
  • Enhancing AI with emotion-driven
          responses.

Conversational AI

  • Dialog systems tailored to industry
         needs.
  • Sentiment-driven, real-time
          conversation adjustments.
  • Advanced turn-taking and interruption
         management.
  • Custom voicebots for automation and
          engagement.
  • Speech-to-text and text-to-speech
         solutions for natural communication.

Generative AI

  • Content generators for text, audio, and
          video.
  • Automating storytelling and creative
          content.
  • Synthesizing speech and visuals
          aligned with brand identity.
  • Retrieval-Augmented Generation (RAG)
         for knowledge-rich AI solutions.
  • Fine-tuned models for high-
         performance applications.
  • Knowledge-driven, accurate generative
          solutions.

Natural Language Processing (NLP)

  • Text analytics for sentiment, topics, and
          entities.
  • Multilingual models for global markets.
  • Automated summarization and
         question-answering systems.

Deepfakes

  • Audio deepfake detection for security.
  • Ethical synthetic media for training and
         simulations.
  • High-quality face-swapping and voice
          cloning.
  • Safeguards against deepfake misuse.
  • Immersive deepfake-based training and
         entertainment.

Multimodal Deep Learning

  • Integrating speech, text, and visuals in
         AI solutions.
  • Predictive models from multiple data
         sources.
  • Multimodal emotion and sentiment
         recognition.
  • Applications for video analytics and VR.

APPLICATIONS

Customer Service
Further analyze behavioral and emotional profiles of speakers in call centers to optimize their operations. Automatically assess meaningful KPIs such as Customer satisfaction, First Call Resolution rate, Average handling time, and Customer churn rate.
Mental & Cognitive health
Leverage speech signal analysis to detect and monitor psychological and psychiatric disorders like depression and bipolar disorder. Monitor and assess health cognitive impairment based on the speaking patterns of the patients. Check our paper on Cross-lingual dementia detection [8].
AI Companions / AI Agents
With the rise of generative AI applications, there is a definite need for machines to be able to understand human emotions. By incorporating behavioral information from voice, such applications can enhance user interactions by responding with greater empathy, adjusting tone and content based on emotional cues, and providing more personalized and emotionally intelligent responses.
Public Speaking & Coaching
Analyze patterns of speaking styles, behaviors, and emotions to assess the quality of public speaking and propose actionable feedback. Check our TED Talks case study and award-winning paper [3].
Education & Learning Management Systems (LMS)
Enhance educational tools by incorporating students’ emotional state. This allows educators or adaptive learning platforms to respond appropriately, offering additional support when needed. It could also be used in special cases, to aid in social skills training.
Security, Intelligence & Law Enforcement
Detecting outliers such as urgent calls or disturbances in public places. Also, our technology can be used to build deepfake detection systems based on behavioral attributes.
Market Research
Analyze speech data from focus groups to quantify participants' engagement and reactions to products and advertising material.
HR
Analyze speech to provide guidance and insights in data from interviews and business meetings, in order to improve HR operations and employee wellness.
Healthcare experience
Analyze speech to understand patient-doctor interaction, and therefore improve empathy.
Entertainment
Analyze audience/gamers' engagement and provide feedback to content creators. Can also be used by platforms to limit toxic behavior in gaming lobbies and streams.
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4 STEPS TO VALUE DEPLOYMENT

1. DISCOVER

During a consultation, with senior researchers, we will discuss the problem you are trying to solve and create an assessment of the business opportunity.

2. PLAN

The next stage includes a 2 to
3-week technology feasibility study and initial experimentation providing an estimate of effort, data, and time needed to achieve the goal. Additionally, we will be able to review initial performance indicators and associated RoI. We will also define the API needed by the application developers.

3. BUILD

The 3rd step involves development, in over a 2 to
3-month process, including the following phases:

i) data collection/annotation
(if needed), feature and model engineering, performance optimization and validation,

ii) connect to the data store,

iii) build and test APIs

4. DEPLOY

Produced APIs or MVPs are put to production and end-to-end performance is evaluated and monitored.

Our solutions are based on open-source software and on the leading emotion and behavioral AI platform from Behavioral Signals and owned by the customer.
Your data privacy is assured using only HIPPA/GDPR compliant cloud resources under your control.

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    WHY US...

    Driven by a passion to bring ground-breaking patented speech-to-emotion and speech-to-behaviors technologies to market, Professors and Scientists Alex Potamianos and Shri Narayanan founded Behavioral Signals in 2016. With a mission to enhance and forever change the world of business, technology lies at the heart of everything we do. Our advanced Emotion AI and Behavioral Signal Processing tools, developed by a team of world-class researchers and PhDs, analyze human emotions and behaviors, transforming data into actionable insights that drive better business decisions and profitability. Leveraging cutting-edge algorithms and a patented analytics engine, our technology quantifies and measures the “how” of human interactions—an achievement once thought impossible. Robust, scalable, and seamlessly integrable, our API and AI frameworks are built to empower organizations with reliable tools to enhance communication, decision-making, and digital transformation.

    AWARD WINNING TECHNOLOGY

    • 6 time winner of the INTERSPEECH quality of human interactions & computational         paralinguistics challenge
    • Winner: Sentiment analysis twitter challenge SemEval/NAACL 2016
    • Winner: Gold-standard Emotion Sub-challenge at the 2018 ACM Audio-Visual
            Emotion Challenge

    EXCLUSIVE PATENTS

    • Exclusive patent license “Emotion Recognition System”
    • Full patent filed “Deep Actionable Behavioral Profiling and Shaping” (provisional
           June 2018 – full June 2019)
    • Two provisional patents filed on “Deep Fusion for Emotion Recognition” and “Data
           Augmentation for Emotion/Behavioral Profiling” (May 2019)

    SELECT PUBLICATIONS & AWARDS

    2024

    RobuSER: A robustness benchmark for speech emotion recognition. In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1-7. IEEE.

    Link

    Emotion-Aware Speech Popularity Prediction: A use-case on TED Talks. In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1-7. IEEE.

    Link

    2023

    Cross-Lingual Features for Alzheimer’s Dementia Detection from Speech. Interspeech 2023.

    Link

    2022

    Audio and ASR-based Filled Pause Detection. In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1-7. IEEE.

    Link

    2019

    Using Oliver API for Emotion-Aware Movie Content Characterization. In 2019 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1-4. IEEE.

    Link

    Articles

    Can AI Improve the Way You Speak? T. Giannakopoulos.

    Link

    Emotion-Aware Movie Characterization with Oliver API. T. Giannakopoulos.

    Link

    Using AI to Understand the Way a Movie “Looks” and “Sounds” Like. T. Giannakopoulos.

    Link

    Behavioral Signals Patent

    Behavioral Signals has been mentioned in 6 Gartner Hype Cycle reports in 2023 for trends in:

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      Our motto (to paraphrase Ekman): Emotions and thoughts determine the quality of our life while behaviors and actions determine the outcomes in our life. Behavioral Signal Processing technology can transform your business!
      Contact us today for an initial conversation: labs@behavioralsignals.com

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