Skip to content
Agentic 10-K

PDF SOLUTIONS INCPDFS

AI agent disclosures in SEC filings, deployment confirmed

As of 2026-02-24, PDF SOLUTIONS INC (PDFS) disclosed AI-agent language in 1 SEC filing since 2026-02-24, including 1 excerpt describing its own deployment of AI agents (source: Agentic 10-K, from SEC EDGAR).

Stage
Scaling
Market cap
$1.7BYahoo Finance, 2026-10-21
First seen
2026-02-24
Latest filing
2026-02-24

Matching filings by quarter

012Q1 '25Q2Q3Q41Q1 '26Q2Q3Q4*
Filings* Quarter in progress

What the filings cover

Functions named

None identified

Vendors and products named

None named

Source

1 filing since 2025-01-01. All EDGAR filings (opens in a new tab)

Stage and function are keyword-rule labels, not the company’s words.

In its own words

Sentences copied from the filings, whitespace normalised.

“We have taken advantage of advances in agentic AI to also help make the tens of thousands of experiments and billions of measurements per wafer of our advanced CV test chips more accessible, including by enabling customers to interpret complex datasets and generate insights quickly on demand.”

10-KFiled 2026-02-24Confirmed deploymentSource on sec.gov (opens in a new tab)Filing index (opens in a new tab)

All matching filings

10-K filed 2026-02-24 Filing index (opens in a new tab)

10-KFiled 2026-02-24

PDF Solutions uses advances in agentic AI to interpret complex datasets from CV test chips.

“Differentiated Data & Process Characterization. Our DirectScan system combines voltage contrast e-beam inspection with design layout analysis to help identify systematic failures inline before they occur. Our eProbe tool performs inline inspection designed to test over 60 trillion vias per year per tool and catch defects in increasingly three-dimensional structures. We have taken advantage of advances in agentic AI to also help make the tens of thousands of experiments and billions of measurements per wafer of our advanced CV test chips more accessible, including by enabling customers to interpret complex datasets and generate insights quickly on demand.”