- Type
- not stated
- Format
- Multimodal: Text (conversation messages, agent reasoning traces, retrieved knowledge passages) + Tabular (BigQuery tables: users, tickets, interactions, events with intents, topics, states, SLA metrics) + Audio/transcript for the voice channel
- Volume
- Very large and unusually deep: every conversation multiplied by its event stream — each interaction contains many events (messages, reasoning steps, retrievals, tool calls), so at hundreds of thousands of interactions per month the Events table plausibly holds 10^8+ rows per year. Zowie absorbs the BigQuery storage cost for the shared dataset, implying material volume.
- Users
- N/A as a consumer product — B2B AI support platform; est. low hundreds of ecommerce merchant tenants (Series A, ~$19.6M raised, ~130 employees, ~$12M revenue band) each carrying their own end-customer base, so end-users represented in the data run to tens of millions
- History
- 6 years
- Update frequency
- not stated
- Growth
- Active — Series A venture-backed, ~130 employees, and this warehouse-sharing capability plus public schema documentation are newly built, indicating expanding data operations
- Launched
- ~2018-2020 for the company and original product line (company record shows registration around 2018 with funding history through Series A); the AI-support product in its current agentic form consolidated ~2023-2024
- Delivery
- not stated
- Entity mapping
- not stated
- Sample
- not stated
- Point-in-time
- not stated
- Licence
- not stated