DocuSign identifies a specific competitive threat from advances in AI that enable new categories of players, such as large language model providers and hyperscalers, to replicate their functionality at a lower cost. This pressure makes them receptive to solutions that can enhance their AI capabilities, differentiate their platform, and defend their market share.
Filing excerpt
If providers of large language models, data platform companies, enterprise software companies, “hyperscalers,” or other businesses develop solutions that provide comparable functionality at lower cost or in more convenient formats, demand for our products would suffer and our business, financial condition and results of operations would be adversely affected.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Competitors
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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/258cd4cb-b5fa-46bc-b343-10060bf090a4 returns this record as JSON. POST /v1/companies/enrich returns every signal for docusign.com.
{
"signal_id": "258cd4cb-b5fa-46bc-b343-10060bf090a4",
"signal_type": "sec-10k",
"signal_subtype": "competitorNamed",
"detected_at": "2026-03-24T05:55:08.817+00:00",
"company": {
"name": "DocuSign",
"domain": "docusign.com"
},
"data": {
"detail": "DocuSign identifies a specific competitive threat from advances in AI that enable new categories of players, such as large language model providers and hyperscalers, to replicate their functionality at a lower cost. This pressure makes them receptive to solutions that can enhance their AI capabilities, differentiate their platform, and defend their market share.",
"summary": "Facing new competitive threats from LLM providers, hyperscalers, and enterprise software companies.",
"excerpts": "If providers of large language models, data platform companies, enterprise software companies, “hyperscalers,” or other businesses develop solutions that provide comparable functionality at lower cost or in more convenient formats, demand for our products would suffer and our business, financial condition and results of operations would be adversely affected.",
"relevance": 0.8,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1261333/000126133326000021/docu-20260131.htm",
"filing_date": "2026-03-18",
"filing_year": 2026,
"fiscal_year_end": "01/31",
"sales_relevance": "Competitive intelligence",
"signal_category": "market",
"competitors_mentioned": [
"large language models",
"data platform companies",
"enterprise software companies",
"hyperscalers"
],
"technologies_mentioned": [
"AI"
]
}
}
curl https://signals.autobound.ai/v1/signals/258cd4cb-b5fa-46bc-b343-10060bf090a4 \
-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":"docusign.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.