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Drop your work email and your most complicated technical manual. That's all we need.
Compute Give Away
Field-Service-Automatisierung für Einsätze vor Ort
Verwandeln Sie Handbücher und Servicewissen in Echtzeit-Anleitungen für Techniker, genau dann und dort, wo die Arbeit stattfindet.
Trusted for technical operations at
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Chapter AI
Three things that actually matter in production
Reliable answers, not statistical guesses
Standard AI guesses the next word. Our infrastructure maps the actual relationships between your machine parts, PLC error codes, and schematics. Responses are grounded only in your specs.
Works with the data you already have
No need to reformat your documentation. Connect your existing manuals, training videos, and technical specs. Your agents update automatically in the background when your documentation changes.
Traceable by design
An AI answer without a source is useless on the shop floor. Every response comes with precise visual citations so your field engineers can verify the exact page or video timestamp instantly.
How it works
From overwhelming manuals to quick answers
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Credits active
Your €250 compute batch goes live. You're in the trial.
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Knowledge Graph builds
Chapter AI maps your documentation into a working knowledge graph. No manual tagging required.
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You test it
Your team runs real queries on the shop floor. If it saves hours of downtime, keep using it.
Don't touch
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Testimonials
Some previous feedback we received
Wenn ein Kunde anruft, öffne ich sofort Chapter und tippe die Frage ein, während ich noch in der Leitung bin. Und es gibt mir schnell eine Antwort.
Laurens Körselman
Technischer Support
Da wir zwei Systeme haben (CRM und Leistungssystem), ist es großartig, dass Chapter AI eine einzige Informationsquelle bietet.
Erik Schoenmakers
Manager Kundendienst
Er hat sich eine Antwort ausgedacht, die mich wirklich glücklich gemacht hat. Die Informationen stammten aus verschiedenen Dokumenten, und er hatte sie ordentlich zusammengestellt.
Koen Pape
Leiter Geschäftsentwicklung
Wenn unsere Installateure vor Ort auf Installationsfragen oder Fehlercodes stoßen, benötigen sie sofortigen Zugriff auf genaue, SOLVIS-spezifische Verfahren und keine allgemeinen Heizungsratschläge.
Claas Rühling
Produktions- und Technologieführer
Wenn wir im Feld auf einen unerwarteten Fehler stoßen, macht der sofortige Zugriff auf geteilte Lösungen den entscheidenden Unterschied. Anstatt zu warten, bis jemand die Lösung findet und weitergibt, ist sie sofort verfügbar. Es ist himmlisch. Es ist großartig.
Arno Tromp
Direktor
Security
Your data stays yours
GDPR compliant, ISO 27001 certified, EU-hosted infrastructure. Your documentation never trains our models. Encryption at rest and in transit.
FAQ
Häufig gestellte Fragen
Müssen wir unsere Dokumentation zuerst formatieren oder taggen?
Nein — Chapter AI synchronisiert mit Ihrer vorhandenen Ordnerstruktur und liest Dokumente so, wie sie sind. Es ist kein manuelles Taggen erforderlich.
So, rather than charging you for a standard SaaS trial, we are fully funding the compute for our 40 beta testers to run a real-world pilot on the shop floor.
The Catch? We want your brutal feedback. If it saves your team hours of downtime, keep using it. If you think it sucks, we want to know exactly why.
How long does it take to ingest my manuals?
Not months. If you upload a standard batch of technical PDFs (like a 150-page installation manual or error code glossary), our Knowledge Graph typically parses the text, extracts the entities, and maps the relationships in under a day or two.
Typically, you can be running test queries on the shop floor the week after you signed up for the waitlist.
Do you use our proprietary data to train your models?
Absolutely not. We know data security is the biggest hurdle for operations teams. Your documentation is stored in a siloed, EU-hosted environment and is only used to build your specific Knowledge Graph.
We are GDPR compliant, ISO 27001 certified, and we never use your manuals to train our foundational models.
What if my manuals are full of messy tables and complex schematics?
That is exactly what we want you to upload. Standard RAG (Retrieval-Augmented Generation) breaks when it hits a dense troubleshooting table or a wiring diagram.
Our ontology engine is specifically built to understand the relationships between a specific error code in a table and the corresponding part in a schematic. Bring us your worst.
What happens when my €250 in credits runs out?
We will give you a heads-up well before you hit your limit. If the pilot proved its worth and your field techs are saving time, we can easily transition you to a paid tier to keep the system running. If you don't want to upgrade, your access simply expires.
No automatic credit card charges, and no high-pressure sales calls.
Join the Compute Waitlist
"We have manuals up to about 90 pages. You don’t really go through all the manuals while installing a system. Every assistance that helps installers get the right information faster is a help."
