Filing excerpt
we face risks associated with our use and development of AI models, which may result in operational challenges, legal liability, reputational concerns and competition
The company explicitly mentions facing risks associated with its development and use of AI models. This implies an active investment in AI technology, which could create needs for AI governance, MLOps, data quality, and specialized cloud computing solutions to mitigate these operational and legal risks.
Filing excerpt
we face risks associated with our use and development of AI models, which may result in operational challenges, legal liability, reputational concerns and competition
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10qaiInvestmentGet every 10-Q signal for HeartFlow 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 HeartFlow this week?”
The Signal API returns 10-Q 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-10q 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/b67446fd-7be7-4056-ba5c-883ac346cb4b returns this record as JSON. POST /v1/companies/enrich returns every signal for heartflow.com.
{
"signal_id": "b67446fd-7be7-4056-ba5c-883ac346cb4b",
"signal_type": "sec-10q",
"signal_subtype": "aiInvestment",
"detected_at": "2026-05-19T10:06:12.468+00:00",
"company": {
"name": "HeartFlow",
"domain": "heartflow.com"
},
"data": {
"detail": "The company explicitly mentions facing risks associated with its development and use of AI models. This implies an active investment in AI technology, which could create needs for AI governance, MLOps, data quality, and specialized cloud computing solutions to mitigate these operational and legal risks.",
"summary": "Acknowledges risks in its use and development of AI models, indicating active AI initiatives.",
"excerpts": "we face risks associated with our use and development of AI models, which may result in operational challenges, legal liability, reputational concerns and competition",
"relevance": 0.7,
"sentiment": "neutral",
"confidence": "medium",
"source_url": "https://www.sec.gov/Archives/edgar/data/1464521/000146452126000071/htfl-20260331x10q.htm",
"filing_date": "2026-05-14",
"filing_year": 2026,
"fiscal_year": 0,
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"technologies_mentioned": [
"AI"
]
}
}
curl https://signals.autobound.ai/v1/signals/b67446fd-7be7-4056-ba5c-883ac346cb4b \
-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.