The company is heavily investing in a hybrid AI approach that uses machine learning for nuanced driving behaviors while relying on engineered systems for core safety guarantees.
Filing excerpt
Aurora’s approach to designing the Aurora Driver software leverages our team’s expertise in both artificial intelligence / machine learning and fundamental engineering.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kaiInvestmentGet every 10-K signal for Aurora 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 Aurora this week?”
The Signal API returns 10-K 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-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/014e7a9e-90a0-4829-b1d3-d1330d884b5c returns this record as JSON. POST /v1/companies/enrich returns every signal for aurora.tech.
{
"signal_id": "014e7a9e-90a0-4829-b1d3-d1330d884b5c",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-02-17T06:38:10.63+00:00",
"company": {
"name": "Aurora",
"domain": "aurora.tech"
},
"data": {
"detail": "The company is heavily investing in a hybrid AI approach that uses machine learning for nuanced driving behaviors while relying on engineered systems for core safety guarantees. This complex development model requires significant data processing and algorithmic tuning, creating opportunities for specialized AI development and MLOps tools.",
"summary": "Aurora develops its 'Verifiable AI' by combining machine learning with engineered safety systems.",
"excerpts": "Aurora’s approach to designing the Aurora Driver software leverages our team’s expertise in both artificial intelligence / machine learning and fundamental engineering.",
"relevance": 0.8,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1828108/000182810826000016/aur-20251231.htm",
"filing_date": "2026-02-11",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"technologies_mentioned": [
"AI",
"machine learning"
]
}
}
curl https://signals.autobound.ai/v1/signals/014e7a9e-90a0-4829-b1d3-d1330d884b5c \
-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":"aurora.tech","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.