- Home
- Revenue Operations & Intelligence (RO&I) Software
- Quaeris Semantic Layer
On the recordRead 30 Sep 202614 facts
Quaeris Semantic Layer
San Francisco, California, United States
Plans and prices
Team
See the maker's page
1 warehouse connection · up to 200 certified metrics · 1 AI model provider slot · 90-day prompt-level audit log
Read 30 Sep 2026 · quaeris.ai
Professional
See the maker's page
Up to 5 warehouse connections · 3 AI model provider slots · 1-year prompt-level audit log
Read 30 Sep 2026 · quaeris.ai
Enterprise
Priced on request
Unlimited users · unlimited warehouse connections · unlimited AI model provider slots · custom audit-log retention
Read 30 Sep 2026 · quaeris.ai
On the record
- Access controls
- The access-control page describes row-level security and column masking applied at query time, with policies intended to carry across UI, agent, API, and export paths.quaeris.ai · read 30 Sep 2026
- Audit and retention
- Prompt-level audit-log retention is listed as 90 days for Team, one year for Professional, and custom for Enterprise.quaeris.ai · read 30 Sep 2026
- Business system integrations
- The integrations page names SAP, Salesforce, Oracle, Workday, and Microsoft Dynamics 365, and notes that availability should be confirmed with the account team.quaeris.ai · read 30 Sep 2026
- Compliance status
- The pricing page says GDPR data-processing controls are included in Enterprise, SOC 2 Type II and ISO 27001 audits are in progress, and HIPAA controls are on the roadmap.quaeris.ai · read 30 Sep 2026
- Data handling
- Quaeris states that it queries warehouse data in place, does not use platform data to retrain models, and deletes session data after use.quaeris.ai · read 30 Sep 2026
- Learning and certification
- The platform observes natural-language queries in real time, while the customer’s data team reviews and certifies proposed definitions.quaeris.ai · read 30 Sep 2026
- Lineage
- Quaeris says answers can trace metrics from dashboard values to source tables and record who approved metric changes and when.quaeris.ai · read 30 Sep 2026
- Model integrations
- Quaeris says customers can connect OpenAI, Anthropic, Google, or Meta models and switch providers while retaining governance definitions.quaeris.ai · read 30 Sep 2026
- Platform access
- The company offers a REST API and MCP tools for querying governed data from applications, workflows, and compatible AI hosts.quaeris.ai · read 30 Sep 2026
- Purpose
- The Smart Semantic Layer learns metric patterns from user questions and lets a team certify, version, and govern shared metric definitions.quaeris.ai · read 30 Sep 2026
- Support
- Team includes community support and documentation, Professional adds priority support and dedicated onboarding, and Enterprise includes a named Customer Success Manager.quaeris.ai · read 30 Sep 2026
- Warehouse support
- Named warehouse connections include Snowflake, BigQuery, Databricks, Redshift, and Azure Synapse.quaeris.ai · read 30 Sep 2026
- Who it is for
- Quaeris describes the Semantic Layer as serving data teams and cross-functional users who need governed analytics, and identifies regulated industries among its target deployments.quaeris.ai · read 30 Sep 2026
