For semiconductor companies

Thousands of parts, thousand-page datasheets, one accurate answer

Selection guides, parametric tables, errata sheets, reference designs, and a part-numbering scheme only your own people can parse. Rapidflare reads all of it into a knowledge graph and answers the way an applications engineer would: from the application, with the datasheet page cited.

Sound familiar?

Where semiconductor sales and support leak time

Parametric search assumes an expert

It works when the buyer already knows the parameters. It does nothing for a system designer who starts from the application.

The datasheet is not the whole truth

The real answer often spans the datasheet, an app note, an errata sheet, and a reference design, and only your FAEs hold that join in their heads.

Cross-references win and lose sockets

When a competitor part comes up, the team that answers fastest with an honest comparison usually keeps the socket.

What Rapidflare does here

What Rapidflare does on a semiconductor catalog

01

Reads the documents engineers write

Extraction built for parametric tables, package drawings, and revision marks, benchmarked at 95% average character accuracy, with the scoring rule published.

02

Selection from the application down

The buyer describes the system; the agent narrows by the parameters that decide it, asking only the questions that matter.

03

Cross-reference with the mismatch flagged

Competitor part in, ranked equivalents out, with the differences named before the customer finds them.

04

Support that spans the document set

Answers assembled across datasheet, errata, and app note, cited line by line, escalated with the work attached when silicon behaves strangely.

Extraction accuracy, our benchmark

  • Rapidflare 95%
  • Contextual AI 62%
  • AWS Textract 49%

How we measured this

Bring a product family and watch it answer like an FAE