Filing excerpt
Lastly, we use artificial intelligence (“AI”) and machine learning to power proprietary personalization and discovery models across all our software platforms.
Peloton is heavily investing in AI/ML to enhance user experience and personalization through its new Peloton IQ platform, which includes features like real-time form correction and personalized plans.
Filing excerpt
Lastly, we use artificial intelligence (“AI”) and machine learning to power proprietary personalization and discovery models across all our software platforms.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Vendors
sec-10kaiInvestmentGet every 10-K signal for Peloton 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/24426a5d-802c-47c3-8fe7-85c71471e559 returns this record as JSON. POST /v1/companies/enrich returns every signal for onepeloton.com.
{
"signal_id": "24426a5d-802c-47c3-8fe7-85c71471e559",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-08-11T07:02:55.729+00:00",
"company": {
"name": "Peloton",
"domain": "onepeloton.com"
},
"data": {
"detail": "Peloton is heavily investing in AI/ML to enhance user experience and personalization through its new Peloton IQ platform, which includes features like real-time form correction and personalized plans. This creates opportunities for vendors offering AI infrastructure, MLOps, or specialized AI development services to support and scale these new features.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Launched AI-powered \"Peloton IQ\" platform in fiscal 2026 for personalization and training.",
"excerpts": "Lastly, we use artificial intelligence (“AI”) and machine learning to power proprietary personalization and discovery models across all our software platforms.",
"relevance": 0.9,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1639825/000163982526000038/pton-20260630.htm",
"filing_date": "2026-08-06",
"filing_year": 2026,
"fiscal_year_end": "06/30",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"vendors_mentioned": [
"Sonos"
],
"technologies_mentioned": [
"AI",
"machine learning"
]
}
}
curl https://signals.autobound.ai/v1/signals/24426a5d-802c-47c3-8fe7-85c71471e559 \
-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":"onepeloton.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.