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Zet handleidingen en service kennis om in realtime begeleiding voor technici, precies wanneer en waar het werk plaatsvindt


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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.
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.
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.
Drop your work email and your most complicated technical manual. That's all we need.
Your €5,180 compute batch goes live. You're in the pilot.
Chapter AI maps your documentation into a working knowledge graph. No manual tagging required.
Your team runs real queries on the shop floor. If it saves hours of downtime, keep using it.
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Als een klant belt, open ik meteen Chapter en typ ik de vraag in terwijl ik nog aan de lijn ben. En het geeft me snel een antwoord.
Aangezien we twee systemen hebben (CRM en prestatiesysteem), is het geweldig dat Chapter AI één informatiebron biedt.
Hij kwam met een antwoord waar ik echt blij van werd. De informatie kwam uit verschillende documenten, en hij had het netjes in elkaar gezet.
Wanneer onze installateurs in het veld installatievragen of foutcodes tegenkomen, hebben ze onmiddellijke toegang nodig tot nauwkeurige, Solvis-specifieke procedures, niet tot generiek verwarmingsadvies.
Wanneer we in het veld een onverwachte fout tegenkomen, maakt directe toegang tot gedeelde oplossingen het verschil. In plaats van te wachten tot iemand de oplossing vindt en deelt, is die meteen beschikbaar. Het is hemels. Het is geweldig.
GDPR compliant, ISO 27001 certified, EU-hosted infrastructure. Your documentation never trains our models. Encryption at rest and in transit.
Nee, Chapter AI synchroniseert met je bestaande mappenstructuur en leest documenten zoals ze zijn. Handmatige tagging is niet nodig.
Rather than charging for an initial pilot, we are absorbing the compute costs (up to €250 per team) for 40 operations teams. The catch? We want rigorous feedback on its operational impact.
Days, 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, your technicians can begin testing field queries the following week.
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.
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.
We provide ample notice before the limit is reached. If the infrastructure has proven its ROI through measurable ticket deflection and faster resolution times, we can 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.