| What it does | AI Platform for Voice & Chat Agents
| Semantic context layer that helps AI agents understand your business data accurately
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | US
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| Pricing model | Paid
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| Pricing | Credits-based subscription plans: Starter ($200/mo), Growth ($500/mo), Business ($1000/mo), and Enterprise (custom). All usage types (chat, voice, SMS, workspace, transcription) draw from same monthly balance at tiered per-unit rates.
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| Key features | - AI Agent Builder - Build and customize agents without coding
- Workspace - Manage agents and conversations in one collaborative environment
- Real-time AI assistance with contextual hints during live conversations
- Multi-channel support - Voice calls, SMS, and web chat
- Knowledge Base for instant access to information
- Call transcription and automated summaries
- Dashboard analytics and call metrics
- Call transfer capabilities to phone numbers or call centers
- Integrations with third-party platforms via API and webhooks
- Support for over 20 languages and multiple voice options
| - Connects to 15+ data systems including Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI and Postgres
- Extracts structural metadata including databases, schemas, tables, views, columns and relationship lineage
- Provides Web-UI, MCP server and REST APIs for accessing semantic context
- Automatic incremental updates with configurable sync schedules from on-demand to daily or weekly
- Role-level access controls and data classifications including PII, PHI and SPII
- Only reads metadata without accessing or moving actual data from systems
- Integrates with quality monitoring tools including Monte Carlo, Anomalo and Bigeye
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| What makes it different | - Minimal setup time - Go live instantly with no IT headaches or long setups
- No-code agent builder suitable for non-technical users
- Natural conversation flow - Customers don't realize they're talking to AI
- Bundled pricing with no hidden model or infrastructure fees
- Up to 80% automation of routine calls freeing teams for complex issues
| - Eliminates confident AI mistakes by grounding agents in semantic context instead of having them guess from table names
- Reduces AI token costs and speeds up answers by resolving schema and joins once upstream instead of in each agent query
- Ensures consistent answers across all agents and teams using the same definitions and business logic
- Provides complete traceability and auditability of AI decisions with documented context and ownership
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 59 ▼ −1 (down) since last check | 8 ● no change since last check |
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| Trust Flow (Majestic) | 20 | 1 |
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| Citation Flow (Majestic) | 32 | 24 |
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| Referring domains (Majestic) | 256 | 29 |
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Kanlet