The company is actively using AI to improve core operational efficiency, reduce flight disruptions, and enhance reliability.
Filing excerpt
In our operations, we are beginning to adopt artificial intelligence ("AI") models to help us route and distribute bags with short timeframes to make connections in our hubs and make gating decisions that are aimed at keeping flights on time.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Competitors
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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/8f4a343d-8bca-4a74-a7b2-4390ee2a41f9 returns this record as JSON. POST /v1/companies/enrich returns every signal for delta.com.
{
"signal_id": "8f4a343d-8bca-4a74-a7b2-4390ee2a41f9",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-02-17T06:32:06.387+00:00",
"company": {
"name": "Delta",
"domain": "delta.com"
},
"data": {
"detail": "The company is actively using AI to improve core operational efficiency, reduce flight disruptions, and enhance reliability. This signals a strategic budget for AI/ML platforms focused on logistics, operational planning, and predictive maintenance to gain an edge over competitors.",
"summary": "Delta is deploying AI models for baggage routing, gate decisions, and maintenance optimization.",
"excerpts": "In our operations, we are beginning to adopt artificial intelligence (\"AI\") models to help us route and distribute bags with short timeframes to make connections in our hubs and make gating decisions that are aimed at keeping flights on time.",
"relevance": 0.9,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/27904/000002790426000013/dal-20251231.htm",
"filing_date": "2026-02-10",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"competitors_mentioned": [
"American Airlines",
"United Airlines",
"Alaska Airlines",
"JetBlue Airways",
"Southwest Airlines",
"Allegiant Air",
"Frontier Airlines",
"Spirit Airlines"
],
"technologies_mentioned": [
"AI",
"artificial intelligence"
]
}
}
curl https://signals.autobound.ai/v1/signals/8f4a343d-8bca-4a74-a7b2-4390ee2a41f9 \
-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":"delta.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.