Humans:  the final frontier

AI that reads your world. See user emotions, intentions, and preferences in video — 20x faster and for a fraction of the cost.

HFAIHFAI · GPU

AI that can read the room!

We help AI understand how people feel and respond by combining multimodal models with targeted human insight.

01

Trusted insights

We refine AI outputs with targeted human review to produce reliable, high-quality labels.

02

Real-world context

We use large-scale video, audio, and log data to capture how emotional responses vary across real-world situations.

03

Human-like intent

Systems that better match how people perceive and interpret multimodal content.

Unlocking the final frontier of AI: truly understanding humans.

Today’s AI struggles to understand human emotion, intent, and preferences because it learns mostly from static text. We combine video-based AI with trusted and targeted human feedback to better capture real emotional signals and reduce noise.

We use focused, high-quality human feedback only where it matters most, reducing the need for large-scale labeling. This helps quickly refine vision-language models by improving accuracy with less data and faster iteration.

HumanFeedback approach: layered pyramid from static foundations to agentic AI evaluators

Time-based feedback

High-bandwidth human signals captured at the speed of thought, frame by frame.

Behavioral science

AI methods paired with deep insights from human psychology to surface what matters.

One platform, many domains

From games to healthcare, the platform adapts to the signals each field needs.

Video Engine

Few-shot and transfer learning meet video understanding, and proprietary AI-human co-annotation models.

Built for Cross-Industry Applications

The HF.ai platform is designed for scenarios where understanding humans matters. It captures signals like attention, fatigue, stress, and engagement, and can be applied in driver assistance systems, warehousing, patient care, social media, games user research and beyond

Alertness
Attention
Empathy
Engagement
Fatigue
Stress

From raw video to actionable insight.

A guided workflow that blends AI speed with human judgment — annotate, refine, and surface the moments that matter, all in one place.

AI labels

Get quick labels from our video understanding agents

Task

Let AI select sections that require further clarification and send them to human annotators.

Annotation

Human annotators provide reliable, time-continuous labels on the videos.

Insights

Get insights that enable informed decision-making for your next move.

Refine & Improve

Iterate on your AI models with targeted feedback loops. Retrain on validated labels to boost AI model accuracy

Built on research, tuned for reliability.

A stack designed to do more with fewer labels — combining few-shot temporal models, annotator evaluation and automated quality control, all rooted in decades of academic research.

Few-shot temporal learning

Generalize labels from a handful of annotations — taking time-continuous data labeling to the next level.

Less but more reliable data

The breakthrough isn't volume, it's quality. Focus annotation effort exactly where it moves the model.

Annotator reliability estimation

Automatically detect unreliable annotators early to keep subjective labels grounded in trustworthy truth.

AI-powered automation

Integrated tools for cleaning, processing and visualizing feedback — built on years of academic research.

Built by leaders in affective AI.

Georgios N. Yannakakis

Georgios N. Yannakakis

Co-founder · AI & Affective Computing

Awarded AI researcher, IEEE Fellow, +20 years of R&D experience in Affective AI.

David Melhart

David Melhart

Senior AI Engineer

PhD & Postdoc, Uni Malta. Inventor of the PAGAN labelling tool.

Daniele Gravina

Daniele Gravina

Senior Engineer

PhD in AI, +10 years of DevOps expertise

Joris Huijbregts

Joris Huijbregts

CTO

15+ years in the game industry and real-time compute.

Jaeyoung Moon

Jaeyoung Moon

AI Engineer

PhD in AI. Awarded affective AI tech in CHI

Jasper Schellekens

Jasper Schellekens

Sales and Operations

+10 years of experience managing complex international projects

Lars Henriksen

Lars Henriksen

Co-founder · Operations

20+ years scaling teams and ventures, raised over $100m

Frequently asked questions

Everything you need to know about the platform, data and onboarding.

Let's build the next generation of human-centered AI.

Whether you have a question, feedback, or want to start a project — our team is here to help.

info@humanfeedback.ai