The company sees AI adoption driving the need for distributed, interconnected digital infrastructure for training and inference.
Filing excerpt
AI adoption is increasing the need for distributed, interconnected digital infrastructure. Training, inference, and model coordination require dense data exchange across cloud and edge environments.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
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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/47db43fb-b310-40cb-aef5-38d6f527198b returns this record as JSON. POST /v1/companies/enrich returns every signal for equinix.com.
{
"signal_id": "47db43fb-b310-40cb-aef5-38d6f527198b",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-02-17T06:30:06.045+00:00",
"company": {
"name": "Equinix",
"domain": "equinix.com"
},
"data": {
"detail": "The company sees AI adoption driving the need for distributed, interconnected digital infrastructure for training and inference. This creates opportunities for vendors in the AI ecosystem, including data platforms, high-performance networking, and specialized hardware.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Equinix positions AI as a core catalyst for ecosystem and infrastructure demand",
"excerpts": "AI adoption is increasing the need for distributed, interconnected digital infrastructure. Training, inference, and model coordination require dense data exchange across cloud and edge environments.",
"relevance": 0.8,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1101239/000110123926000032/eqix-20251231.htm",
"filing_date": "2026-02-11",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"technologies_mentioned": [
"AI",
"cloud",
"edge"
]
}
}
curl https://signals.autobound.ai/v1/signals/47db43fb-b310-40cb-aef5-38d6f527198b \
-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":"equinix.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.