Selfr's analytics agent answers structured-data questions using a non-autoregressive model built not to hallucinate.
The Selfr analytics agent lets users ask questions of their structured data in natural language and returns answers generated by the company's proprietary non-autoregressive ZH-1 model rather than a large language model. It is designed to produce consistent, auditable results and to decline to answer when the underlying data is missing or a question falls outside its scope.
The agent is offered for self-served analytics, embedded customer-facing analytics, and autonomous agentic workflows that depend on reliable database querying. Selfr markets it for settings where answers must be trusted without a human expert reviewing each generated query.
| Attribute | Non-Hallucinating Analytics Agent | AI Data Analyst | |
|---|---|---|---|
| Provider | |  | |
| Founded | 2021 | 2018 | |
| Sells To | Enterprise | Enterprise, Small Business | |
| Pricing Model | Recurring, Software | Recurring | |
| Ownership | Venture-backed | Venture-backed |
Provider
Founded 2021
Sells To Enterprise
Pricing Model Recurring, Software
Ownership Venture-backed
Provider
Founded 2018
Sells To Enterprise, Small Business
Pricing Model Recurring
Ownership Venture-backed
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