Get your chips found and chosen
in the age of AI
Turn every part number's full documentation into a structured product library AI can understand — Q&A, spec pages, cross-reference, FAE workbench. Ingest once, publish everywhere.
Built for semiconductor & component makers in China and Japan
Found 1 matching part:
Every fact is bound to a datasheet citation · datasheet is authoritative
Your website is just a pile of PDFs — AI can't read them, customers can't choose. The system's first-class citizen should be the Part Number, not the document — every doc, parameter, asset and answer hangs off the part.
One structured dataset, many outlets
Ingest once — serve customer engineers, FAEs, search engines and AI assistants all at once.
AI selection Q&A
Structured parameter filtering first, RAG as fallback — returns part cards with page-level citations. Embed on your site with one script snippet.
Structured spec pages & search
Product family → multi-column parameter filters → part detail. SSG / SEO so customers and search engines can read it.
Cross-Reference engine
pin2pin / near / functional tiers; public output is limited to qualitative claims, your own specs and competitors' headline public specs — detailed data stays strictly internal.
FAE internal workbench
Missed questions enter a queue; after the FAE answers, promote to FAQ in one click. Full competitor diffs internal and exportable.
Data ingestion pipeline
Upload or crawl datasheets → parse tables → LLM extracts min/typ/max and test conditions → human review before publishing.
End-to-end multilingual
Numeric parameters are language-agnostic and stored once; copy falls back down a chain, and answers follow the question's language.
No source, no answer.
Every public AI output must be traceable. Each factual sentence is bound to a datasheet chunk; any parameter claim that can't be cited is simply not said — better silent than wrong. This outranks answer coverage.
- Grounded generation: sentence-level citation binding
- Datasheet is the sole authority; every answer carries a "refer to official" note
- When unsure, it says so — captures a lead and notifies the FAE
PXHB120P1's dead time is set via an external resistor on the DT pin, typically 15–150 ns.
From your datasheets to a live AI assistant
Ingest
Upload PDFs (or point us at your website); the pipeline parses the electrical spec tables and extracts parameters with test conditions.
Review
Confirm each AI-extracted field against a page-level snapshot of the source; only approved fields enter the live library.
Publish
The same structured data powers the Q&A widget, product site, cross-reference and machine-readable endpoints.
Let your customers' AI assistants call your product library directly
In the age of AI selection, product data isn't just for people to read — agents read it too.
- schema.org/Product JSON-LD on every part page
- Site-level llms.txt and per-part markdown endpoints
- Read-only MCP Server: search_parts / get_part_detail / compare_parts
{
"query": "100V half-bridge, OCP",
"results": [
{
"pn": "PXHB120P1",
"vds": "120V",
"ocp": true,
"source": "datasheet v2 p.9"
}
]
}Turn your public docs into a product library AI will choose
Send us your public datasheets — within days you'll see a live demo built on your own parts: selection Q&A, parameter filtering and part comparison.