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Drop your work email and your most complicated technical manual. That's all we need.
Most AI hallucinates technical schematics.
We built an industry specific Knowledge Graph that doesn't. We’re giving €250 in free compute credits to 40 teams to try and break it.


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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 €250 compute batch goes live. You're in the trial.
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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When a customer calls, I immediately open Chapter and type in the question while I’m still on the line. And it quickly gives me an answer.
Since we have two systems (CRM and performance system), it’s great that Chapter AI provides a single source of information.
He came up with an answer that really made me happy. The information came from different documents, and he had put it together neatly.
When our installers encounter installation questions or error codes in the field, they need instant access to accurate, Solvis-specific procedures, not generic heating advice.
When we encounter an unexpected error in the field, instant access to shared solutions makes all the difference. Instead of waiting for someone to find and share the fix, it’s available right away. It’s heaven. It’s great.
GDPR compliant, ISO 27001 certified, EU-hosted infrastructure. Your documentation never trains our models. Encryption at rest and in transit.
Until now, this tech has been locked behind massive enterprise contracts for top-tier OEMs. We want to make it accessible to individual Ops leads, Plant Managers, and field engineers. Parsing massive industrial files is incredibly token-heavy.
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.
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.
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. Bring us your worst.
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.