The answer is in your files Start with a question
From product specifications to operating guides, let AI help colleagues find information Answers include sources, so you can check and keep working
The PS-40-200 is rated to 1.5 MPa
Less searching More moving forward
Start with the questions that come up every day Your colleagues do not need to remember filenames, folders or page numbers
Start with the files you already have
Catalogues, specifications, operating guides — even scans begin with a readability check. Make scattered content findable, so AI can look for answers in your documents
Support is confirmed through file-quality, format and implementation assessment
PRODUCT CATALOGUE
Keep specifications with their model
| MODEL | PRESSURE |
|---|---|
| PS-40-200 | 1.5 MPa |
An answer With something to check
Find the document, read the passage, check the source Every step makes the answer easier to assess
Find relevant passages
Search the provided documents for passages relevant to the question
Answer from the content
Explain what is supported and identify missing information
Check the original
Follow the reference to review context and conditions
Where your data lives Starts with your needs
Every company handles internal information differently. Choose a model setup based on data requirements, hardware and operations
With an on-premises model, files, questions and answers can stay in your environment; hardware and operations need planning
Explore local deploymentStart with a set of files And real questions
Validate a manageable scope first Then decide how to extend it into daily work
Bring frequently used files
Choose frequently searched files and identify their sources and update process
Try your team’s questions
Review answers, references and cases where information is missing
Agree on delivery and operations
Define scope, deployment, document updates and cost
A few more things
How is this different from AI customer support?
Customer support serves website and LINE visitors. In-house Data Lookup helps colleagues query company documents and specifications. Users, data scope and delivery are planned separately
Can it work with scanned PDFs and tables?
The demo corpus includes PDFs, scans, Excel and Word. An implementation starts by checking your file quality, layouts and table structure
Do document updates require retraining?
Knowledge stays in documents and the search index. Updated files need processing and re-indexing, rather than retraining the model
Can I sign up immediately?
This is currently a project pilot. Documents, use cases, models and deployment are assessed before scope and pricing are agreed
The next time you need an answer Start by asking
Bring one document and a common question. Let’s find the right approach