
Pilot project in Bremen: more safety on trams through AI
Bremer Straßenbahn AG is testing AI systems for hazard detection on its trams, with 80 % funding from the federal transport ministry.
Watch the videoGalvorn is part of the JAAI Group and builds Europe’s security AI with a clear European set of values.
We build capable security technology, but not at any price. These principles are not negotiable.
Our aim is to improve people’s lives through AI – for example by making emergencies and hazards visible sooner. That is why Galvorn draws attention not only to criminal acts but also to other dangerous situations: people in the track area, falls, and people lying motionless on the ground.
We do not automate decisions. Galvorn is purely an alerting system and supports people who cannot keep dozens of cameras in view at all times. The final assessment and the decision to act always rest with a human being.
We did not found Galvorn in order to monitor more. We want to make existing security systems smarter and more responsible. For that, Europe needs alternatives to Palantir and the like – alternatives that treat data protection not as an obstacle but as a foundation.
Our parent and sister companies have worked for many years with the most sensitive data there is: health data. That experience has shown us that AI can deliver real value without sacrificing privacy.
Our primary aim is always to prevent injury. When a hazard becomes visible, people can respond faster and act in a targeted way.
Deterrence and prosecution have their place, but only once prevention no longer works. We are not building a surveillance system for control, but a security system for protection.
Given current geopolitical developments, we regard dependence on foreign, and particularly American, technology providers as critical. That is especially true for critical infrastructure, where data, access rights and control over the system must not be a question of convenience.
We see growing interest in European solutions. At the same time there are still too few credible European alternatives in AI. Galvorn is our attempt at an answer.
AI systems learn from data. That data can contain bias, discrimination, sexism or racism. We are aware of this risk and actively work against it.
At the same time we see a real opportunity: software systems behave consistently over time. Careful evaluation makes it possible to uncover and remove problematic patterns systematically. That lets us secure protection against discrimination more reliably.
We know and understand the state of the art in AI, we apply it, and we have set ourselves the goal of offering only solutions that deliver top performance.
Not merely faster or cheaper, but genuinely more precise and more reliable. That is why we invest in the quality of our models, in transparent evaluation and in pilot projects with measurable results.
We love, use and support open source. We are convinced that open-source software achieves a level of security and quality that proprietary solutions rarely offer, thanks to broad scrutiny and continuous development by a global community.
Towards our customers we aim for maximum transparency, particularly regarding the decisions made by the AI. All decisions are logged directly on the hardware on site, under your control.
We believe in the extraordinary potential of people. Our mission, as Galvorn and as the JAAI Group, is to unlock that potential by automating repetitive tasks with AI. Not to replace people, but to give them room for what really matters.
In security that means: anyone watching dozens of camera feeds for hours without anything happening will inevitably lose concentration. That is not a weakness, it is human physiology. Galvorn takes over that sustained attention so that security staff are present and able to act at exactly the moment it matters.
Anyone who builds technology like ours carries responsibility. Criticism helps us to spot blind spots and improve our systems. Data protection experts, civil rights organisations, the press and a critical public ask important questions. We take them seriously, even when they are uncomfortable.

Bremer Straßenbahn AG is testing AI systems for hazard detection on its trams, with 80 % funding from the federal transport ministry.
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A portrait of Roland Becker: how AI Watch is intended to become a European alternative to Palantir, including critical voices from CCC Bremen and DFKI.
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A critical look at the rollout of AI Watch in Bremen, the first German state with AI monitoring in public transport, in the context of planned changes to Bremen’s police law.
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Published correspondence between BSAG and Bremen’s Commissioner for Data Protection and Freedom of Information.
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Around ten cameras at Heinrich-Heine-Allee, a six-month pilot — the aim is markedly shorter response times.
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Video report by Radio Bremen with footage from the trams and interviews with BSAG and Galvorn.
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Official project presentation by BSAG: technical details, data protection concept and federal funding (80 % from the BMV).
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A technically critical report for an international specialist audience: how it works, pilot data and a comparison with Hamburg.
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How AI Watch makes conflicts visible in real time, alerts drivers and the control room, and why this makes Bremen a national pioneer.
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A factual trade report for the international public transport sector: technical implementation, data protection and international interest.
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NonstopNews press photo from the project presentation: placing the technology in the context of Bremen’s public transport.
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Weser-Kurier on the data protection concept behind AI Watch — and why Bremen’s police are not yet allowed to use the technology.
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Mobility Senator Ünsal and BSAG board member Harder present AI Watch: processing directly in the vehicle, pixelated and without facial data, in a third of the fleet by the end of the year.
Read the articleOfficial press release from the Bremen Senate, with assessments from Senator for Mobility Özlem Ünsal and BSAG board member Thorsten Harder.
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