Skip to content
SPECIFICTION
Get listed

Quaeris Semantic Layer

quaeris.ai

From $1,000/mo Free trial WebAPI
Visit quaeris.ai
Spec score 7.9 #9 of 22 in Revenue Operations & Intelligence (RO&I) Software

Spec sheet

Purpose
The Smart Semantic Layer learns metric patterns from user questions and lets a team certify, version, and govern shared metric definitions.Read 30 Sep 2026 · quaeris.ai
Support
Team includes community support and documentation, Professional adds priority support and dedicated onboarding, and Enterprise includes a named Customer Success Manager.Read 30 Sep 2026 · quaeris.ai
Headquarters
San Francisco, California, United StatesRead 28 Sep 2026 · quaeris.ai
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.Read 30 Sep 2026 · quaeris.ai
Audit and retention
Prompt-level audit-log retention is listed as 90 days for Team, one year for Professional, and custom for Enterprise.Read 30 Sep 2026 · quaeris.ai
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.Read 30 Sep 2026 · quaeris.ai
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.Read 30 Sep 2026 · quaeris.ai
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.Read 30 Sep 2026 · quaeris.ai
Learning and certification
The platform observes natural-language queries in real time, while the customer’s data team reviews and certifies proposed definitions.Read 30 Sep 2026 · quaeris.ai
Lineage
Quaeris says answers can trace metrics from dashboard values to source tables and record who approved metric changes and when.Read 30 Sep 2026 · quaeris.ai
Model integrations
Quaeris says customers can connect OpenAI, Anthropic, Google, or Meta models and switch providers while retaining governance definitions.Read 30 Sep 2026 · quaeris.ai
Platform access
The company offers a REST API and MCP tools for querying governed data from applications, workflows, and compatible AI hosts.Read 30 Sep 2026 · quaeris.ai
Warehouse support
Named warehouse connections include Snowflake, BigQuery, Databricks, Redshift, and Azure Synapse.Read 30 Sep 2026 · quaeris.ai
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.Read 30 Sep 2026 · quaeris.ai

Plans and prices

Team $1,000 a month $1,000–$2,500 / month; billed annually or monthly, depending on number of Agents/Agent Runs, Users and Source Systems 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 $2,500 a month $2,500–$7,500 / month; billed annually or monthly, depending on number of Agents/Agent Runs, Users and Source Systems 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 Custom pricing; contact sales for a configuration scoped to your environment Unlimited users · unlimited warehouse connections · unlimited AI model provider slots · custom audit-log retention · custom SLA Read 30 Sep 2026 · quaeris.ai

Every Quaeris Semantic Layer plan and price →

Where Specifiction places it

Alternatives to Quaeris Semantic LayerAll alternatives →