The company's strategy to digitize, store, and analyze vast healthcare datasets with AI is enabled by advances in cloud computing. This reliance indicates a significant and ongoing need for scalable cloud storage, high-performance computing, and related cloud services.
Filing excerpt
Advances in cloud computing, imaging technologies, large language models, and low-cost molecular profiling have made it easier and more cost effective to digitize, structure, harmonize, and store healthcare data, and analyze the resulting datasets at an unprecedented rate.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kcloudInvestmentGet every 10-K signal for Tempus AI and the companies you sell to, in the tools you already use.
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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/52ffe35a-a913-4401-85b9-9eaebd90229b returns this record as JSON. POST /v1/companies/enrich returns every signal for tempus.com.
{
"signal_id": "52ffe35a-a913-4401-85b9-9eaebd90229b",
"signal_type": "sec-10k",
"signal_subtype": "cloudInvestment",
"detected_at": "2026-03-03T06:07:15.511+00:00",
"company": {
"name": "Tempus AI",
"domain": "tempus.com"
},
"data": {
"detail": "The company's strategy to digitize, store, and analyze vast healthcare datasets with AI is enabled by advances in cloud computing. This reliance indicates a significant and ongoing need for scalable cloud storage, high-performance computing, and related cloud services.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Leveraging cloud computing to power its large-scale AI and data analytics platform.",
"excerpts": "Advances in cloud computing, imaging technologies, large language models, and low-cost molecular profiling have made it easier and more cost effective to digitize, structure, harmonize, and store healthcare data, and analyze the resulting datasets at an unprecedented rate.",
"relevance": 0.7,
"sentiment": "positive",
"confidence": "medium",
"source_url": "https://www.sec.gov/Archives/edgar/data/1717115/000119312526066961/tem-20251231.htm",
"filing_date": "2026-02-24",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Target for cloud vendors",
"signal_category": "technology",
"technologies_mentioned": [
"cloud computing",
"AI",
"large language models"
]
}
}
curl https://signals.autobound.ai/v1/signals/52ffe35a-a913-4401-85b9-9eaebd90229b \
-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":"tempus.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.