What are the limitations of TAWNY?

No published pricing, plans or self-serve signup, so evaluation requires a sales conversation. Emotion and attention inference from video carries inherent accuracy limits that the homepage does not quantify. No third-party review scores, independent benchmarks or public API documentation are presented on the site.

TAWNY

Name: TAWNY
Author: TAWNY

Vision AI that reads crowd emotion, attention and people flow

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What is TAWNY?

TAWNY is German Vision AI software that analyzes human behavior from any camera feed, combining people flow, emotion and attention data at group and individual level, with GDPR-compliant processing and patented models built on proprietary data since 2017.

TAWNY is a Munich-based Vision AI company that turns ordinary camera footage into human behavior analytics. Its models analyze people flow, emotional expression and attention in parallel, working at both the group level (an audience, a queue, a store aisle) and the individual level. The input can be anything from a live feed on a high-resolution industrial camera to a simple webcam or an existing recorded video file, so deployments do not require a dedicated capture rig. The company has been building proprietary datasets since 2017 and reports that its technology is patented, with high-precision models trained on that data. Because all processing is designed around GDPR standards and the firm is German, the privacy posture is positioned as a core product attribute rather than an afterthought. That matters for buyers in Europe who need to justify sentiment or attention measurement to a data protection officer. In practice, TAWNY fits research and measurement workflows where behavioral data supplements what people say. Agencies and insights teams use it for facial coding and ad or content response testing, event organizers use it to understand audience engagement, and industry partners embed it in their own analytics platforms. The homepage names Deutsche Bahn, Siemens, Fraunhofer, GfK, SAP, Telekom, Red Bull, FC Bayern Basketball and several universities among partners and clients, and quotes partners describing joint work on event analytics and advertising research. Competitively, TAWNY sits apart from survey-only research tools and from generic people-counting software: the pitch is affective and attention data combined with movement data, delivered through off-the-shelf or custom-built solutions tested with established partners. It is not a self-serve consumer app. Expect a scoped engagement, and expect to bring your own cameras or video archive.

How do you use TAWNY?

1Review the Vision AI capabilities
Start on the Vision AI page to see what the models measure: people flow, emotional states and attention. This clarifies which signals map to your research question before any hardware discussion.
2Check your industry for precedent
The Industries page groups use cases by sector. Reading the closest match shows how comparable organizations apply the analytics and what kind of camera setup is typical.
3Choose an off-the-shelf or custom track
The Solutions page separates packaged offerings from tailored builds. Decide whether a standard configuration covers your brief or whether an embedded or bespoke implementation is needed.
4Read project write-ups on the blog
The blog documents applied work and partner collaborations. It is the fastest way to understand deliverable formats, timelines and the questions clients typically bring.
5Contact the team to scope a pilot
Because there is no self-serve tier, the next move is a direct conversation. Use the contact page to describe your camera setup, audience and measurement goals, then agree a test design.
6Connect your video source and validate
Once a project is agreed, test footage or a live feed is connected in the product environment and results are checked against your own ground truth before rollout.

Pros and cons

Pros

Combines people flow, emotion and attention in one analytics layer rather than separate point toolsAI
Runs on any video source, from industrial cameras to webcams to recorded footage, so existing hardware can be reusedAI
GDPR-aligned engineering from a German company, which eases privacy review in European deploymentsAI
Patented technology with proprietary datasets collected since 2017 and a long partner roster including SAP, Siemens and GfKAI
Off-the-shelf and custom solution paths suit both standard research briefs and embedded platform workAI

Cons

No published pricing, plans or self-serve signup, so evaluation requires a sales conversationAI
Emotion and attention inference from video carries inherent accuracy limits that the homepage does not quantifyAI
No third-party review scores, independent benchmarks or public API documentation are presented on the siteAI
Custom and partner-led delivery means time to first insight depends on a scoping projectAI
Buyers outside research, events and advertising will find little guidance on fitAI

How much does TAWNY cost?

Support

Support runs through direct engagement with the Munich team, with partners describing prompt and professional handling of questions during projects. No public help centre, ticket portal or documentation site is listed.

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Features

Core capabilities are real-time analysis of people flow, emotional expression and attention from live or recorded video, working on both group and individual levels. The models accept input from industrial camera systems, webcams or existing video files, run on patented algorithms built from proprietary datasets collected since 2017, and follow GDPR standards. Solutions are offered off the shelf or customized per industry, including embedding into partner analytics platforms.

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Frequently asked questions about TAWNY

How do you use TAWNY?
The walkthrough on this page covers 6 steps: 1. Review the Vision AI capabilities 2. Check your industry for precedent 3. Choose an off-the-shelf or custom track 4. Read project write-ups on the blog 5. Contact the team to scope a pilot 6. Connect your video source and validate.
What platforms does TAWNY support?
TAWNY is available on Web App.
What are the limitations of TAWNY?
No published pricing, plans or self-serve signup, so evaluation requires a sales conversation. Emotion and attention inference from video carries inherent accuracy limits that the homepage does not quantify. No third-party review scores, independent benchmarks or public API documentation are presented on the site.