PDFs are hard to use
A catalog PDF is difficult on mobile, hard to measure and weak as a base for search or automation.
Independent technical studio
AI-ready digital catalogs for technical B2B companies.
Fenutech turns PDFs, lists and technical sheets into structured catalog data that can support product search, AI assistants and quote workflows.
- PDF to data layer
- Product search
- Quote context
From scattered material to an ordered flow
Starting materialCatalogs, email, PDFs and documents the team already uses.
Assisted summaryAnswers and summaries based on controlled sources.
Clear next stepMissing data, priority and actions stay visible.
Human checkA person approves what matters.
Work historyQuestions, results and statuses remain easy to review.
Where the work can be clearer
Fenutech starts from the steps that slow the team down: finding information, completing requests, preparing answers and knowing what happens next.
Technical data to structure
Products, attributes, compatibility and variants can be prepared for filters, dashboards or AI assistants.
Ecommerce is optional
Many B2B companies sell through technical discussion and quotes, with checkout only when it fits.
What it includes
Families and attributes
Categories, applications, materials, variants and browsing paths.
Product sheets
Descriptions, essential data, downloads, sources and quote CTAs.
AI foundation
The catalog becomes the data layer for intelligent search, sourced answers and guided requests.
Concrete example
A realistic scenario showing the workflow shape and expected result.
Fictional example: 120 products from PDF
A PDF catalog becomes families, technical attributes, product sheets and downloads. From there, guided product search and a quote workflow can grow.
Data before AI
Only after data and sources are organized does an assistant make sense. The AI works on clean, controllable material.
Indicative investment
OfferBest forIncludesFrom
AI catalog/document assistant
Search and answers over catalogs, datasheets and approved documents.
- Source citations
- Question history
- Human review
The catalog structure is documented and can grow toward AI assistants, dashboards and quote workflows.
FAQ
Do we need to rebuild the website first?
No. If the bottleneck is internal — documents, quotes, email, dashboards — Fenutech can start with a separate tool. If the site or catalog is part of the workflow, it becomes an interface for that process.
How are customer answers handled?
For important commercial workflows, the system usually prepares drafts, summaries and suggestions. A person decides what gets sent.
How long does an AI prototype take?
A focused prototype can often be validated in 2-4 weeks when the documents, workflow and internal reviewer are clear.
Can the system be handed over later?
Yes. Projects are built with standard technologies, clear access and essential documentation so another technical professional can take over if needed.
Where does the data go?
It depends on the project. Before the system is used in daily work, Fenutech defines which sources are used, what data may pass through external services, what stays internal, what is recorded and which outputs need human approval.