Detail
Over the past year The AES Corporation received 2 US patent grants, concentrated in batteries / energy storage and artificial intelligence / machine learning; the recent pace (1 in 90 days) is steady versus its trailing baseline.
What this signalsA new patent often shows where a company is putting its R&D budget.
Top technology areas
patents-companyportfolioVelocityGet every patent signal for AES and the companies you sell to, in the tools you already use.
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This page shows a preview. The full patents-company 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/50b8f0bd-69e0-5822-84f5-4e086fc02954 returns this record as JSON. POST /v1/companies/enrich returns every signal for aes.com.
{
"signal_id": "50b8f0bd-69e0-5822-84f5-4e086fc02954",
"signal_type": "patents-company",
"signal_subtype": "portfolioVelocity",
"detected_at": "2026-10-21T16:34:05+00:00",
"company": {
"name": "AES",
"domain": "aes.com"
},
"data": {
"detail": "Over the past year The AES Corporation received 2 US patent grants, concentrated in batteries / energy storage and artificial intelligence / machine learning; the recent pace (1 in 90 days) is steady versus its trailing baseline.",
"summary": "The AES Corporation's patent output is steady: 2 grants in the past year, 1 in the past 30 days.",
"event_at": "2026-10-20",
"event_kind": "velocity_snapshot",
"grants_30d": 1,
"grants_60d": 1,
"grants_90d": 1,
"source_url": "https://patents.google.com/?assignee=The%20AES%20Corporation&country=US&sort=new",
"grants_180d": 1,
"grants_365d": 2,
"top_tech_areas": [
"batteries / energy storage",
"artificial intelligence / machine learning",
"image processing / graphics"
],
"uspto_assignee": "The AES Corporation",
"challenges_made": {
"90d": 0,
"365d": 0
},
"cpc_section_mix": {
"B": 1,
"H": 1
},
"grant_direction": "steady",
"precision_class": "structural",
"unique_inventors": {
"90d": 7,
"365d": 10
},
"window_asof_date": "2026-10-20",
"challenges_received": {
"90d": 0,
"365d": 0
},
"grant_velocity_ratio": 6.08,
"primary_cpc_subclass": "G06T",
"technologies_mentioned": [
"batteries / energy storage",
"artificial intelligence / machine learning",
"image processing / graphics"
]
}
}
curl https://signals.autobound.ai/v1/signals/50b8f0bd-69e0-5822-84f5-4e086fc02954 \
-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":"aes.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.