Construction sites generate a constant stream of information: spoken instructions, photographs, deadlines, signatures, reports and decisions made while several trades are working at once. Gewerkton starts from a simple idea: the easiest way to capture that information may be to say it out loud.
Gewerkton · Founder model meets field reality
One founder.
One agent fleet.
A voice-first bet.
Gewerkton turns spoken observations on construction sites into structured evidence—then connects that record to plans, models, operations and outside systems.
Directing coding agents built with Codex and Claude for construction teams across global markets.
The agent fleet’s reported release was verified with negative controls and mutation tests.
A branded house mapping the information journey from field capture to model work and coordination.
Voice-first capture for evidence, defects, daywork, takt, signatures and offline work.
A browser workspace to use an existing model—or create one when none exists.
Operations and data coordination across Field, Studio and third parties.
Teams can work in their own languages while original evidence stays clear, with provider and region selectable across the EU, US and Asia—including mainland China.
fall 2026
The vision is broad, but the product remains a beta rather than a finished general release.
“On site, what counts is what’s proven.”
The voice-first construction documentation and defect management platform turns dictation into structured evidence. A person on a scaffold can record what has happened without stepping away from the work. The resulting record can include a photograph, a deadline and, where needed, a signature on the device. The company’s marketing line sums up its view of the job: “On site, what counts is what’s proven.”
Behind the platform is an unusually compact operation. Gewerkton is being built by a solo founder directing a fleet of coding agents using Codex and Claude. In one night, that fleet shipped 21 software packages, with the work verified through negative controls and mutation tests. The scale of the software effort contrasts with the number of people directing it: one founder, supported by agents, building for construction teams across global markets.
The product is in beta now, and a public beta is planned for fall 2026. That status matters. Gewerkton presents a broad vision spanning site capture, browser-based plans and models, cloud coordination, multilingual work and regional AI choice, but it remains a beta product rather than a finished general release.
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One brand, three connected product lines
The Gewerkton platform is organised as a branded house with three product lines: Field, Studio and Cloud. Each covers a different part of the construction information flow, from the moment something is recorded on site to the point where plans, models, operations and outside systems need to connect.
Gewerkton Field
Gewerkton Field is the voice-first construction site app. Its scope includes dictation to evidence, defects, daywork reports, takt and a portal. Takt is the planned rhythm or sequence in which work progresses through a project. Bringing it into the same site app means the spoken record, the work sequence and the resulting documentation can sit within one product line.
The practical examples are direct. In housing and building construction, a defect can be recorded with a photograph and deadline. Daywork reports can be dictated, while a handover can be signed on the device. On infrastructure and tunnel projects, instructions can be backed by their original audio, which is especially relevant on work that runs for long periods and produces many change orders.
Field also addresses settings where connectivity cannot be taken for granted. Wind farms and renewable-energy projects often involve distributed sites and rotating crews. Gewerkton’s stated deployment scope includes field acceptance and offline capture in dead zones, allowing information to be collected where a reliable connection is unavailable.
Gewerkton Studio
Gewerkton Studio is the browser workspace for plans and models. If a model already exists, teams can work with it there. If no model exists, the site team can create one in the browser.
That second route is important to the product’s overall shape. Gewerkton does not assume that every project begins with the same digital material. Studio covers both projects that arrive with a model and those where the people on site need to establish one themselves. It keeps the focus on what the team actually has, rather than requiring a model as the entry point.
Gewerkton Cloud
Gewerkton Cloud handles operations and model or data coordination between Field, Studio and third parties. It is the connective product line: Field captures activity on site, Studio provides the browser workspace, and Cloud coordinates the operational and data movement between them and outside participants.
Data residency is offered as a choice. Customers can use an EU cloud or their own infrastructure. The same principle appears in the platform’s approach to artificial intelligence, where region and provider are selectable rather than fixed.
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Twenty-seven languages, with the original kept clear
Gewerkton was born in the German market and has its deepest German commercial integration there, including GAEB, REB, XRechnung and DATEV. At the same time, the platform is designed for global markets. It supports 27 content languages and offers a regional choice of AI providers across the EU, the US and Asia, including mainland China.
That multilingual design is tied to the realities of cross-border construction rather than presented as a decorative language menu. A project can involve teams from the EU, the US and the Asia-Pacific region, with each person working in their own language while the original evidence remains unambiguous. For projects in Asia, the stated use cases include Chinese, Korean and Vietnamese crews, with multilingual handling from capture through to report and data residency selected by the project.
The platform’s BYO-AI model extends that regional approach. Users can bring their own keys and choose among 13 AI providers. The region can be selected across the EU, US or Asia, including mainland China, and the setup is intended to avoid vendor lock-in. The choice is not only which AI system to use, but also where that provider fits geographically.
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As an affiliate, we earn on qualifying purchases.
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Built around the way projects spread out
The deployment fields show why voice, language and coordination have been placed together. A wind farm may have sites spread across a wide area, crews rotating between them and locations with no connection. A data centre or industrial plant may have many trades working in parallel against tight deadlines. In that setting, decisions made during meetings can become task lists sorted by trade.
Housing and general building work brings another pattern: defects need photographs and deadlines, daywork must be reported, and handovers need signatures. Infrastructure and tunnel projects add long durations, repeated change orders and instructions that may need to remain connected to original audio. Cross-border work adds another layer, as several languages and regional data choices have to coexist on the same project.
Gewerkton’s three product lines map onto those situations without turning them into a single generic workflow. Field is where the spoken and visual evidence is captured. Studio is where plans and models are handled or created. Cloud coordinates the operational and model data between the two and third parties.
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A software company with an agent fleet
The founder story is inseparable from the product story. A solo founder is not merely using AI inside the construction platform; the founder is also directing coding agents to build it. Codex and Claude form the agent fleet, and the reported one-night release of 21 software packages offers a concrete example of that development model. Negative controls and mutation tests were used to verify the work.
There is a similar breadth on the public-facing side. Gewerkton’s marketing site is available in 27 languages, uses zero trackers, has no cookie banner and runs on a fully egress-free architecture. Its media bank contains more than 51 self-produced clips and posters. Those details place the multilingual and infrastructure choices beyond the application alone: they also shape how the brand presents itself.
For now, however, the clearest description remains the most restrained one. Gewerkton is a beta platform, with its public beta planned for fall 2026. It combines voice-first site capture, browser-based plan and model work, cloud coordination, 27 content languages, regional AI-provider choice and selectable data residency. Its premise is that a spoken observation on site should not remain an informal remark. It should become structured evidence that can carry the photograph, deadline, audio or signature the situation requires.
