Heartflow's core strategy relies on a scalable, cloud-based AI platform with a 'human-in-the-loop' process, processing over 160 million images. This deep investment in technology creates ongoing needs for cloud computing resources, MLOps tools, data storage, and automation software to maintain their competitive edge.
Filing excerpt
We designed our AI-powered software platform to be highly scalable, seamlessly integrate into existing physician workflows for diagnosing CAD, and improve as we ingest more data over time.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Regions named
sec-10kplatformStrategyGet every 10-K signal for HeartFlow 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/0f79dbdf-9846-4197-8875-fb65fc96ffe7 returns this record as JSON. POST /v1/companies/enrich returns every signal for heartflow.com.
{
"signal_id": "0f79dbdf-9846-4197-8875-fb65fc96ffe7",
"signal_type": "sec-10k",
"signal_subtype": "platformStrategy",
"detected_at": "2026-03-24T05:57:57.891+00:00",
"company": {
"name": "HeartFlow",
"domain": "heartflow.com"
},
"data": {
"detail": "Heartflow's core strategy relies on a scalable, cloud-based AI platform with a 'human-in-the-loop' process, processing over 160 million images. This deep investment in technology creates ongoing needs for cloud computing resources, MLOps tools, data storage, and automation software to maintain their competitive edge.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Investing heavily in AI, machine learning, and cloud-based platform for scalability",
"excerpts": "We designed our AI-powered software platform to be highly scalable, seamlessly integrate into existing physician workflows for diagnosing CAD, and improve as we ingest more data over time.",
"relevance": 0.8,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1464521/000146452126000042/htfl-20251231x10k.htm",
"filing_date": "2026-03-18",
"filing_year": 2026,
"sales_relevance": "Platform tools needed",
"signal_category": "strategic",
"regions_mentioned": [
"United States"
],
"technologies_mentioned": [
"AI",
"cloud",
"machine learning",
"computational fluid dynamics"
]
}
}
curl https://signals.autobound.ai/v1/signals/0f79dbdf-9846-4197-8875-fb65fc96ffe7 \
-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":"heartflow.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.