The massive data and performance demands of large-scale AI model training and inference are creating infrastructure bottlenecks. Businesses are seeking specialized storage solutions to maximize AI pipeline efficiency, handle petabyte-scale datasets, and minimize delays in training workflows.
Filing excerpt
FlashBlade//EXA, is a high performing data storage solution purpose-built to handle the most demanding requirements of large scale, GPU-intensive AI and HPC workloads.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kaiInvestmentGet every 10-K signal for Pure Storage and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Pure Storage this week?”
The Signal API returns 10-K signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/1c048457-5cff-4a95-84fc-bab97b53a003 returns this record as JSON. POST /v1/companies/enrich returns every signal for purestorage.com.
{
"signal_id": "1c048457-5cff-4a95-84fc-bab97b53a003",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-03-31T08:33:46.446+00:00",
"company": {
"name": "Pure Storage",
"domain": "purestorage.com"
},
"data": {
"detail": "The massive data and performance demands of large-scale AI model training and inference are creating infrastructure bottlenecks. Businesses are seeking specialized storage solutions to maximize AI pipeline efficiency, handle petabyte-scale datasets, and minimize delays in training workflows.",
"metrics": {
"pct": 0.25,
"pct_context": "better performance across AI, HPC, EDA, genomics, and analytics workloads compared to competing systems"
},
"summary": "Companies investing in GPU-intensive AI/HPC workloads, requiring specialized high-performance storage.",
"excerpts": "FlashBlade//EXA, is a high performing data storage solution purpose-built to handle the most demanding requirements of large scale, GPU-intensive AI and HPC workloads.",
"relevance": 0.9,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1474432/000147443226000027/pstg-20260201.htm",
"filing_date": "2026-03-24",
"filing_year": 2026,
"fiscal_year_end": "02/01",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"technologies_mentioned": [
"AI",
"HPC",
"GPU"
]
}
}
curl https://signals.autobound.ai/v1/signals/1c048457-5cff-4a95-84fc-bab97b53a003 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"purestorage.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.