Heartflow leverages over 160M annotated images to continuously train its AI/ML algorithms.

{
  "signal_id": "15c1a014-e1b1-4e1a-9915-38f229fb3d73",
  "signal_type": "sec-10k",
  "signal_subtype": "aiInvestment",
  "detected_at": "2026-03-24T05:57:57.891+00:00",
  "company": {
    "name": "HeartFlow",
    "domain": "heartflow.com"
  },
  "data": {
    "detail": "The company's competitive edge relies on improving its AI algorithms through a 'human-in-the-loop' process and a massive, growing dataset. This creates a need for robust data processing, storage, and machine learning infrastructure to maintain their technology leadership.",
    "summary": "Heartflow leverages over 160M annotated images to continuously train its AI/ML algorithms.",
    "excerpts": "as of December 31, 2025, we have analyzed and annotated more than 160 million annotated CCTA images.",
    "relevance": 0.9,
    "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": "Target for AI vendors",
    "signal_category": "technology",
    "technologies_mentioned": [
      "AI",
      "Artificial Intelligence",
      "deep learning",
      "machine learning",
      "computational fluid dynamics"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/15c1a014-e1b1-4e1a-9915-38f229fb3d73 \
  -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}'