Build AI that reads human social cues.

Open

April 17, 2026

2026 Rank: #1634

Interhuman AI

Denmark Interhuman AI Social intelligence

545

4.0(1)

Use tool Copy 🔗

545

4.0(1)

Inputs:

Outputs:

Build AI that reads human social cues.

Social Intelligence Omni-Modal Model Real Time Processing Behavior Analysis Communication Analysis Audio RecognitionFree + from $70/mo

Overview

Overview Releases Pricing Pros & Cons Prompts Reviews Q&A

Featured alternatives

Overview Discussion

Overview

Interhuman AI provides social intelligence infrastructure permitting AI systems to comprehend and react to human behavior in real-time. It offers an API and a social intelligence model called Inter-1.

The technology suits a wide range of applications, including sales coaching, AI tutoring, user research, meeting copilots, AI interviews, communication training, virtual assistants, and healthcare support.

Inter-1 is an omni-modal model, designed to detect social signals from video, audio, and text sources. It can analyze a single video stream and provide insights into voice, face, and non-verbal body language, capturing not just what is being said, but how it is being expressed.

The model can identify 12 distinct social signals, including confusion, uncertainty, and skepticism, across different modalities. Each detected signal comes with an evidence-grounded rationale and a confidence score that enables applications to make informed responses.

It provides structured feedback on individuals' communication, backed by evidence rather than opinion. The Interhuman AI technology has been built on validated behavioral science principles and its understanding of social signals has been endorsed in collaboration with psychologists.

Developers can use Interhuman's API to endow their AI products with an advanced understanding of social cues, enhancing their applicability in various settings including education, customer service, and healthcare.

Releases

Interhuman AIInitial

Get notified when a new version of Interhuman AI is released

Notify me

Initial release

April 17, 2026

Initial release of Interhuman AI.

Author

Frederik Sally

@frederiksally

Company

Interhuman AI

🇩🇰 Denmark

Stats

1 tool

Beginner

Joined: September 2024

Pricing

Pricing model

Freemium

Paid options from

$70/month

Billing frequency

Monthly

Keeping you safe

Good to know

Terms & Conditions

Use tool

Save

🔗 Copy link

🗳️ Vote Best AI Tool

Featured

Social intelligence Interhuman AI

Denmark Interhuman AI Social intelligence

545

4.0(1)

Overview Releases Pricing Pros & Cons Prompts Reviews Q&A

Use tool

Save

Reviews

4.0

Average from 1 rating.

★ ★ ★ ★ ★ 0

★ ★ ★ ★ 1

★ ★ ★ 0

★ ★ 0

★ 0

Your rating

★ ★ ★ ★ ★

Attach prompt

Attach result

Post

How would you rate Interhuman AI?

Help other people by letting them know if this AI was useful.

Prompts & Results

Title:

Description:

Prompt type:*

Prompt:*

Output type:*

Output:*

Add your own prompts and outputs to help others understand how to use this AI.

Pros and Cons

Pros

Detect social signals from video

Real-time social intelligence

Behavioral science based detection

Validated with psychologists

Holistic interpretation from multiple modalities

Evidence-grounded rationales

Confidence scores for each signal

Supports video, audio, text sources

Useful for various applications (sales, healthcare, education, etc.)

Uncertainty, skepticism and confusion detection

Analyzes voice, face, and body language

Gives structured communication feedback

API for easy integration

Easy to use developer tools

Interprets not just 'what' but 'how'

Streamlined analysis of single video stream

Feedback grounded in evidence, not opinion

Detects 12 distinct social signals

Presents understandable rationales for signals

Allows applications to make informed responses

Pre-speech exhale, gaze shift detection

Emphatic overcompensation, throat clear analysis

Hedging language, blocking posture identification

Compressed smile, skepticism detection

Multimodal perception analysis

Provides actionable social signals

Recognizes signals missed by transcripts

Triggers for each signal explained

Models rooted in scientifically validated patterns

Electricity efficient

Offer training and support system

Detects vocal pitch shift

Detects tense posture

Recorded gesturing outward signals

Detects raised palms and furrowed brows

Can capture the energy of a conversation

Can recommend how to improve communication

Can detect levels of engagement

Enables detection of agreement, confusion, disagreement

Enables detection of frustration, hesitations, interests

Enables detection of stress signals

Real-time customer services

Can analyze how parents speak with kids

Can enhance mock interviews with non-verbal coaching

Improves communication training with non-verbal intelligence

Adds behavioral evidence to role-play training

View 41 more pros

Cons

Requires video input

No text-only mode

Only detects 12 signals

Doesn't support multiple languages

Lacks real-time feedback

Limited applications listed

Limited to communication methods

Undisclosed processing times

Relies on psychologists validation

Unclear pricing

View 5 more cons

Q&A

How does Interhuman AI detect social signals from videos?

Interhuman AI detects social signals from videos using its key product, Inter-1. This omni-modal model processes the video stream to identify the 'how' of communication, namely voice, face, and body language. The advanced detection of these social signals allows a comprehensive perception and interpretation of human behavior.

Can Inter-1 process input from video, audio, and text simultaneously?

Yes, Inter-1 from Interhuman AI has the capability to process inputs from video, audio, and text simultaneously. The model is designed in such a way that it can holistically interpret these different modalities together to detect and understand social signals much more robustly and accurately.

What does it mean that Interhuman AI is omni-modal?

Being omni-modal means that Interhuman AI can perceive and interpret signals from multiple sensory modalities simultaneously, specifically video, audio, and text. This behaviour allows for a comprehensive detection and understanding of social signals across these different input types.

What kind of feedback can Interhuman AI provide on communication methods?

Interhuman AI provides structured feedback on communication methods. It delivers evidence-backed evaluations of social signals, rather than subjective inputs. This feedback can be utilized to improve communication skills by understanding voice, face, and body language aspects and their impact on a conversation.

How does Interhuman AI's technology incorporate behavioral science?

Interhuman AI incorporates behavioral science into its technology by deploying its root technology, Inter-1, designed based on the principles of behavioral science. Additionally, it detects a range of 12 social signals that are grounded in behavioral science, providing meaningful interpretations across different conversations.

How is Interhuman AI validated with psychologists?

Interhuman AI's product, Inter-1, is validated with psychologists to ensure accurate signal interpretation. This collaboration ensures that each detected social signal reflects patterns that are scientifically validated and practically meaningful in real-world conversations.

+ Show 34 more

What is the practical application of Interhuman AI in sales coaching?

Interhuman AI finds practical application in sales coaching by providing real-time perception, interpretation, and reaction to social signals during sales interactions. This helps in capturing more than just transcripts but also the 'how' of a conversation including voice, face, and body language. It gives structured, evidence-based feedback that can contribute to improving sales techniques.

How does Interhuman AI support user research studies?

Interhuman AI supports user research studies effectively by analyzing social signals from video, audio, and text. Its real-time analysis feature can provide invaluable insight into user behavior. This information can be used to improve user experiences, design better products, and understand user requirements more efficiently and effectively.

Can Interhuman AI be used for communication training in healthcare support?

Yes, Interhuman AI can be utilized for communication training in healthcare support environments. Its ability to detect, interpret, and respond to social signals can help healthcare professionals understand and improve their communication skills. It can provide evidence-based feedback on how they communicate, aiding in the enhancement of patient interactions.

Does Interhuman AI provide an API for integration into other AI products?

Yes, Interhuman AI provides an API named Signals API for integration into other AI products. This API allows developers to detect social signals from video in their applications, enabling robust interpretation of video data and enhancing their applications' capabilities.

How does Interhuman AI interpret human activity in real-time?

Interhuman AI interprets human activity in real-time using its Inter-1 model. This model processes video, audio, and text, interpreting social signals from these modalities simultaneously. It goes beyond merely processing what is said, capturing the context, emotions, and subtleties involved in the conversation for a holistic interpretation.

How does the face and body language detection in Inter-1 work?

The face and body language detection in Inter-1 works through the analysis of a single video stream. It uses advanced AI algorithms to capture the 'how' of the conversation by identifying facial expressions, body posture, and movements, and interpreting them in real-time to provide social intelligence.

Can Interhuman AI provide real-time processing of social signals?

Yes, Interhuman AI is capable of providing real-time processing of social signals. Leveraging the power of AI, it processes and detects social signals from video, audio, and text, simultaneously and in real-time, offering a comprehensive understanding of social interactions.

In what ways can Interhuman AI contribute to communication analysis?

Interhuman AI can contribute to communication analysis through its ability to capture the 'how' of conversation, which includes voice, face, and body language processing. Further, it provides structured feedback on communication methods, supported by evidence rather than opinion, contributing to a comprehensive understanding and improvement of social interactions.

How does Interhuman AI implement natural language processing?

Interhuman AI implements natural language processing as part of its omni-modal model, Inter-1. This feature allows it to process and interpret text-based communications in conjunction with audio and video signals, enhancing the understanding of social interactions.

Does Interhuman AI offer emotion detection from video signals?

Yes, Interhuman AI does offer emotion detection from video signals. Through analyzing video streams, it is able to detect social signals that can map to various emotions, providing a deeper, more holistic understanding of human interactions.

Can I use Interhuman AI for voice analysis applications?

Yes, Interhuman AI can be utilized for voice analysis applications. The analysis focuses not only on what is being said, but also how it is being said, capturing the nuances of conversation and contributing to a broader understanding of social signals.

What kind of support does Interhuman AI offer for sales and user research?

Interhuman AI offers robust support for sales and user research. Its advanced omni-modal model can detect social signals from video, audio, and text, providing a deeper understanding of cusomer engagement, experiences and behaviour. Trained on principles of behavioural science, it provides accurate, evidence-based assessments beneficial for sales and user research scenarios.

Can Interhuman AI detect body language from video streams?

Yes, Interhuman AI has the capacity to detect body language from video streams. Using its Inter-1 model, it comprehensively interprets social signals including body language, facial expressions, and voice tonality from a single video stream to understand human behavior more effectively.

How does Interhuman AI's confidence scoring system work?

Interhuman AI's confidence scoring system works by providing a quantifiable measure of the detected social signals. After each interaction observed, the system generates a confidence score which indicates the level of certainty of the system's interpretation. The rationale for these scores is grounded in observable cues in the video, providing a transparent look into the decision making process of the AI model.

What is Interhuman AI?

Interhuman AI is a social intelligence infrastructure tool. Its purpose is to equip AI systems with the ability to perceive, interpret, and respond to human activity in real-time. It offers an API and a product model, Inter-1, which is purpose-built for social intelligence. The model can detect multiple social signals from various sources such as video, audio, and text, enabling applications to respond based on detailed evidence and confidence scores.

Can you explain what the Inter-1 product does?

Inter-1, the key product of Interhuman AI, is engineered for social intelligence. It detects and interprets social signals from video, audio, and text sources, processing them simultaneously for a comprehensive interpretation. It goes beyond simply transcription, as it captures the nuances of conversation including voice, facial expressions, and body language. For every detected signal, Inter-1 presents evidence-related rationales and confidence scores that applications can use to implement actions. This product is founded on principles of behavioral science and approved by psychologists for accurate and significant signal interpretation.

What types of social signals can Inter-1 detect?

Inter-1 can detect 12 distinct social signals from video, audio, and text. These include confidence, confusion, disagreement, frustration, hesitation, skepticism, stress, uncertainty, and others. Besides the signal type, Inter-1 also gives information about the start and end time of the signal, its probability, and a rationale pointing out the triggering observable cues.

How can Interhuman AI contribute to sales coaching?

Interhuman AI can greatly contribute to sales coaching by enabling AI systems to read and interpret social cues during sales interactions. This capability can provide valuable insights into a customer's confusion, uncertainty, skepticism, confidence, or interest, among other signals. These insights, accompanied by evidence-grounded rationales and confidence scores, can help tailor coaching strategies and enhance sales performance. Furthermore, it can provide structured, evidence-backed feedback to salespeople on their communication techniques.

In what way does Interhuman AI assist in communication training?

In the realm of communication training, Interhuman AI plays a pivotal role by providing real-time, structured feedback on how an individual communicates. This is uniquely done by reading not only verbal cues but also non-verbal signals, including voice, facial expressions, and body language. By interpreting these signals, it can aid in identifying areas of improvement, fostering better understanding of self-expression, and developing effective communication skills.

Does Interhuman AI provide a feature for healthcare support?

Yes, the services of Interhuman AI can be significantly used for healthcare support, specifically in offering assistance ted to social intelligence. The technology's ability to analyze both verbal and non-verbal social signals from patients can lead to a more holistic understanding of the patient's state, assisting in diagnosing conditions related to mental or emotional states, and improving the effectiveness of communication between healthcare providers and their patients.

What is the difference between the voice, face, and body language analysis provided by Inter-1?

Inter-1's analysis of voice, face, and body language allows for a comprehensive understanding of a conversation. While voice analysis focuses on elements like tone, pitch, and pace, facial analysis interprets expressions and micro-expressions, and body language analysis deciphers physical behaviors and postures. All these combined provide a complete perspective of the conversation, capturing not just what is being said, but also how it is being expressed, promoting a more profound understanding of the communication exchange.

How reliable are the confidence scores provided by Inter-1?

The confidence scores provided by Inter-1 are highly reliable as they're based on deep-rooted principles of behavioral science. The scores are developed after the combined analysis of verbal and non-verbal cues from video, audio, and text sources. Each signal detection carries an evidence-grounded rationale, making the confidence scores robust and of substantial quality.

Can Interhuman AI analyze audio and text as well as video?

Yes, Interhuman AI is capable of analyzing audio and text, as well as video. Its product, Inter-1, can simultaneously process and interpret social signals from these three different sources, making its analysis and interpretation of a conversation more comprehensive and detailed.

What is the significance of Interhuman's AI technology being rooted in behavioral science?

The technology of Interhuman AI, being rooted in behavioral science, meansthat it accurately reflects patterns of human behavior. The detection of social signals in conversation and the interpretation of these signals is based on scientifically validated principles. This gives the outcomes a substantial level of reliability, accuracy, and practicality, making the AI technology powerful and meaningful in real-world conversations.

How does Interhuman AI implement real-time analysis?

Interhuman AI implements real-time analysis by continually processing and interpreting social signals as the conversation unfolds. It doesn't just capture what is being said, but also analyses how it is being expressed including tone of voice, facial expressions, and body language. This real-time analysis allows applications to respond in a timely and dynamic manner during a conversation.

How does the Inter-1 API feature help developers?

The Inter-1 API feature allows developers to integrate the advanced understanding of social signals into their AI products. As the API is able to analyze different types of social signals from various sources in real-time, it enhances the applicability of the developers' AI products in sectors ranging from education to customer service. In addition, the resulting evidence-based rationales and confidence scores provide developers with validated insights to make data-driven improvements.

Can Interhuman AI help detect uncertainty and skepticism in communication?

Yes, Interhuman AI can assist in detecting signals such as uncertainty and skepticism in communication. Using its Inter-1 model, both verbal and non-verbal cues related to these signals can be identified, analysed, and reported. This ability is useful in different fields to comprehend the true intent of the speaker, allowing for more effective responses.

What kind of structured feedback does Interhuman AI provide on communication methods?

Interhuman AI provides structured, evidence-based feedback on communication methods. It captures and deciphers social signals indicating confusion, certainty, stress, or interest and so on, in individuals’ communication. This structured feedback, backed by observable cues and not just opinion, allows for improvement in communication skills and techniques.

Can Interhuman AI assist in user research and how?

Interhuman AI has a valuable role in user research as it allows for a deep understanding of the users' communication. By detecting and analyzing social signals from the users' voice, face, and body language, and providing an interpretation based on these signals, it allows researchers to gain insights into users' attitudes, thoughts, and emotions at a much deeper level than simply what they say. This holistic understanding of users can significantly enhance the effectiveness of user research.

In what ways does Interhuman AI contribute to education?

In terms of education, Interhuman AI can contribute by facilitating improved communication training, tutoring, and understanding of student engagement. Its ability to provide evidential feedback can help educators strengthen their teaching methods. It can also offer insight into students' comprehension levels by detecting confusion, uncertainty, or interest, thus assisting in tailoring teaching methods to students’ needs.

How can Interhuman AI aid in customer service?

In the field of customer service, Interhuman AI can aid in comprehending customer behavior, attitudes, and satisfaction levels by interpreting social signals. This can significantly help tailor customer service strategies and enhance customer satisfaction. Furthermore, it can provide evidence-related feedback to service agents, helping them improve their communication and engagement with customers.

Is using Interhuman AI beneficial for virtual assistants?

Yes, using Interhuman AI can greatly benefit virtual assistants by making them socially intelligent. With its ability to read and interpret human behavior in real-time, interactions can be more personalized and effective. It can notice subtle cues, thereby enabling the virtual assistant to respond appropriately, making conversations more meaningful and dynamic.

What are the specific signals that the Inter-1 model can detect?

The Inter-1 model can detect 12 actionable social signals across modalities. These are agreement, confidence, confusion, disagreement, engagement (whether someone is engaged, neutral or disengaged), frustration, hesitation, interest, skepticism, stress, and uncertainty. Each of these signals is detected and triggered by interpreting relevant observable cues.

What does it mean that Interhuman AI can provide a holistic interpretation of social signals?

The ability of Interhuman AI to provide a holistic interpretation of social signals means it can comprehensively understand the full scope of human communication. It captures voice, facial expressions, and body language from a single video stream, allowing for a meaningful interpretation of the conversation beyond merely what is spoken. It interprets not just words but how they are expressed, providing a more in-depth understanding of human interactions.

Ask a question

Submit

#1634 0 0

Search

Interhuman AI

Overview

Releases

Frederik Sally

Pricing

Related topics

Reviews

How would you rate Interhuman AI?

Prompts & Results

Pros and Cons

Pros

View 41 more pros

Cons

View 5 more cons

Q&A

Go to section

Search

Overview

Releases

Frederik Sally

Pricing

Related topics

Reviews

How would you rate Interhuman AI?

Prompts & Results

Pros and Cons

Pros

View 41 more pros

Cons

View 5 more cons

Q&A

Help

People also viewed

Feedback and Incident Report

AI Options

Create AI Tools

Mini Tool

Vibe code an AI Tool