
Interhuman AI provides a social intelligence layer for AI systems, enabling them to understand and respond to human behavior in real-time. Their multimodal AI analyzes body language, facial expressions, voice patterns, and contextual signals to detect emotional states and behavioral cues, bridging the gap between AI and human interaction. Their technology focuses on emotional intelligence, real-time multimodal analysis, behavioral analysis, and adaptive response systems powered by LLMs. They are actively involved in research to enhance AI-human interactions through social signals and emotions, with publications focusing on computer vision for behavioral sensing, fairness in facial emotion recognition, and scaling behavioral observation with computational methods. The company aims to humanize AI by making it understand people beyond just their words.

Interhuman AI provides a social intelligence layer for AI systems, enabling them to understand and respond to human behavior in real-time. Their multimodal AI analyzes body language, facial expressions, voice patterns, and contextual signals to detect emotional states and behavioral cues, bridging the gap between AI and human interaction. Their technology focuses on emotional intelligence, real-time multimodal analysis, behavioral analysis, and adaptive response systems powered by LLMs. They are actively involved in research to enhance AI-human interactions through social signals and emotions, with publications focusing on computer vision for behavioral sensing, fairness in facial emotion recognition, and scaling behavioral observation with computational methods. The company aims to humanize AI by making it understand people beyond just their words.
Founded: 2023
Headquarters: Copenhagen, Denmark
Product: Multimodal social-intelligence API and model (Inter-0) for real-time behavioral signal detection
Latest disclosed raise: €2M pre-seed (announced Aug 24–25, 2025)
Core tech: Real-time multimodal analysis of video, audio, and text (behavioral/emotional signals)
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Bridging the gap between AI and human interaction by adding social and emotional intelligence to AI systems.
2023
Data and Analytics
€2,000,000
Round included participation from EIFO (Export and Investment Fund), Antler, The Yope Foundation and angels associated with Ada Ventures.
“Led by PSV Tech with participation from EIFO, Antler, The Yope Foundation and angels from Ada Ventures”
Interhuman AI is building the next generation of social intelligence infrastructure—multimodal AI systems that understand not just what humans say, but how they say it. We're developing models that interpret behavioral signals like hesitation, engagement, confusion, and interest across voice, facial expressions, body language, and natural language - in real time.
We are looking for a Student Researcher to join our AI engineering team. This is not a typical "support" role; it is an invitation to apply the latest research in multimodal evaluation and data synthesis to a production-scale infrastructure. You will work on the practical foundations that allow our models to move from "experimental" to "state-of-the-art" every single week.
What You’ll Do
Who We’re Looking For
What We Offer We recognize that your PhD research is your priority. We offer a highly flexible 15-hour work week designed to complement your academic schedule. You will join a high-intensity, venture-backed startup environment where your work isn't just a paper. This is a paid role where you will have direct influence on the technical direction of a pioneering social intelligence platform.
Who We Are At Interhuman AI, we're pioneering multimodal AI that reads the full bandwidth of human communication - facial expressions, vocal tone, body language, and words - to interpret social signals in real time. We're building infrastructure for AI interactions that feel adaptive, emotionally aware, and genuinely human.
We're a small, focused team backed by top investors, with a working MVP and a vision to become foundational infrastructure for the next era of conversational AI.
If you want to do work that matters, at the edge of what's possible, we'd love to hear from you.