Snapshot 140329
Parsed
What we read from this document, as JSON. Each entry names the snapshot it was read from.
{
"entries": [
{
"kind": "subprocessor",
"vendor": "amazon-web-services",
"evidence_id": 99177,
"data": {
"name": "Amazon Web Services, Inc.",
"purposes": [
"Cloud infrastructure and storage"
],
"sections": [
"2. Platform"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "anthropic",
"evidence_id": 99177,
"data": {
"name": "Anthropic",
"purposes": [
"Analysis of connected source code",
"Large language models",
"Model inference on page state, screenshots and navigation context during a recording run"
],
"sections": [
"3. Transcription, generation and media",
"4. Automated Recording",
"5. Code-Connected Content Generation"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "assemblyai",
"evidence_id": 99177,
"data": {
"name": "AssemblyAI",
"purposes": [
"Speech-to-text"
],
"sections": [
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "atlassian",
"evidence_id": 99177,
"data": {
"name": "Atlassian",
"purposes": [
"Customer-authorised repository access, read-only"
],
"sections": [
"5. Code-Connected Content Generation"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "baseten",
"evidence_id": 140329,
"data": {
"name": "Baseten, Inc.",
"purposes": [
"Large language models"
],
"sections": [
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "browserbase",
"evidence_id": 99177,
"data": {
"name": "Browserbase, Inc.",
"purposes": [
"The hosted browser session in which a recording run executes"
],
"sections": [
"4. Automated Recording"
],
"locations": [
"United States (us-west-1)"
]
}
},
{
"kind": "subprocessor",
"vendor": "cartesia",
"evidence_id": 99177,
"data": {
"name": "Cartesia",
"purposes": [
"Text-to-speech"
],
"sections": [
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "deepgram",
"evidence_id": 99177,
"data": {
"name": "Deepgram",
"purposes": [
"Speech-to-text"
],
"sections": [
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "elevenlabs",
"evidence_id": 99177,
"data": {
"name": "ElevenLabs",
"purposes": [
"Text-to-speech"
],
"sections": [
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "github",
"evidence_id": 99177,
"data": {
"name": "GitHub, Inc.",
"purposes": [
"Customer-authorised repository access, read-only"
],
"sections": [
"5. Code-Connected Content Generation"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "gitlab",
"evidence_id": 99177,
"data": {
"name": "GitLab Inc.",
"purposes": [
"Customer-authorised repository access, read-only"
],
"sections": [
"5. Code-Connected Content Generation"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "google-cloud",
"evidence_id": 99177,
"data": {
"name": "Google Cloud Storage",
"purposes": [
"Object storage"
],
"sections": [
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "google-cloud",
"evidence_id": 99177,
"data": {
"name": "Google LLC",
"purposes": [
"Image generation",
"Large language models",
"Speech-to-text",
"Text-to-speech",
"Website analytics (marketing site only)"
],
"sections": [
"2. Platform",
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "heygen",
"evidence_id": 99177,
"data": {
"name": "HeyGen, Inc.",
"purposes": [
"Avatar generation"
],
"sections": [
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "hubspot",
"evidence_id": 99177,
"data": {
"name": "HubSpot, Inc.",
"purposes": [
"Customer relationship management"
],
"sections": [
"2. Platform"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "astrodon-corp-loops",
"evidence_id": 99177,
"data": {
"name": "Loops (Astrodon Corporation)",
"purposes": [
"Transactional and notification email"
],
"sections": [
"2. Platform"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "openai",
"evidence_id": 99177,
"data": {
"name": "OpenAI",
"purposes": [
"Image generation",
"Large language models",
"Speech-to-text",
"Text-to-speech"
],
"sections": [
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "posthog",
"evidence_id": 99177,
"data": {
"name": "PostHog, Inc.",
"purposes": [
"LLM observability",
"Product analytics"
],
"sections": [
"2. Platform",
"3. Transcription, generation and media"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "propelauth",
"evidence_id": 99177,
"data": {
"name": "PropelAuth, Inc.",
"purposes": [
"Authentication and identity"
],
"sections": [
"2. Platform"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "sentry",
"evidence_id": 99177,
"data": {
"name": "Sentry (Functional Software, Inc.)",
"purposes": [
"Error monitoring and crash reporting"
],
"sections": [
"2. Platform"
],
"locations": [
"United States"
]
}
},
{
"kind": "subprocessor",
"vendor": "stripe",
"evidence_id": 99177,
"data": {
"name": "Stripe, Inc.",
"purposes": [
"Payment processing"
],
"sections": [
"2. Platform"
],
"locations": [
"United States"
]
}
}
]
}