Waystar is differentiating its platform with a proprietary AI engine that uses a multi-modal approach including machine learning and LLMs like Google's Gemini. This "closed-loop" system continuously learns from 7.5 billion annual transactions to automate complex workflows and drive reimbursement accuracy.
Filing excerpt
Waystar AltitudeAI utilizes a multi-model approach that incorporates machine learning, large language models such as Google Cloud's Gemini, generative AI, and agentic AI - to ensure our technology is built to act rather than just analyze.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Vendors
Regions named
sec-10kplatformStrategyGet every 10-K signal for Waystar 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/7c229306-0df2-40fc-b414-5e632656e45b returns this record as JSON. POST /v1/companies/enrich returns every signal for waystar.com.
{
"signal_id": "7c229306-0df2-40fc-b414-5e632656e45b",
"signal_type": "sec-10k",
"signal_subtype": "platformStrategy",
"detected_at": "2026-02-24T09:42:26.76+00:00",
"company": {
"name": "Waystar",
"domain": "waystar.com"
},
"data": {
"detail": "Waystar is differentiating its platform with a proprietary AI engine that uses a multi-modal approach including machine learning and LLMs like Google's Gemini. This \"closed-loop\" system continuously learns from 7.5 billion annual transactions to automate complex workflows and drive reimbursement accuracy.",
"metrics": {
"timeframe": "current_year",
"dollar_context": "gross claims processed annually",
"dollar_millions": 2400000
},
"summary": "Waystar embeds its \"AltitudeAI\" engine, using Google's Gemini, across its product suite",
"excerpts": "Waystar AltitudeAI utilizes a multi-model approach that incorporates machine learning, large language models such as Google Cloud's Gemini, generative AI, and agentic AI - to ensure our technology is built to act rather than just analyze.",
"relevance": 0.9,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1990354/000199035426000011/way-20251231.htm",
"filing_date": "2026-02-17",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Platform tools needed",
"signal_category": "strategic",
"regions_mentioned": [
"United States"
],
"vendors_mentioned": [
"Google Cloud"
],
"technologies_mentioned": [
"AI",
"machine learning",
"large language models",
"generative AI",
"agentic AI",
"cloud-based software"
]
}
}
curl https://signals.autobound.ai/v1/signals/7c229306-0df2-40fc-b414-5e632656e45b \
-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":"waystar.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.