Does Quaeris hallucinate numbers?

No. Quaeris agents query your governed semantic layer - they don't generate numbers from a language model's training data. Every answer is grounded in certified metric definitions your data team controls. If a question can't be answered from the semantic layer, the agent says so rather than guessing.

Where does my data live?

Your data never leaves your environment. Quaeris is warehouse-native - it connects directly to your existing Snowflake, BigQuery, Databricks, or Redshift instance and queries it in place. We don't copy, cache, or store your data on Quaeris infrastructure.

How is access controlled?

Access is enforced at query time through role-based access controls that map to your existing warehouse permissions. Users only see the slice of data their role permits - enforced by the agent, not just by dashboard filters. Every query and answer is logged for audit.

AI Agents forEnterprise Analytics

QuaerisAI helps teams ask questions across enterprise data and receive governed, source-backed answers with permissions, lineage, and audit records built in.

Trusted AI agents Reason across governed data to deliver reliable answers
Certified metrics only No invented or conflicting numbers
Role-based access Every user sees only what their role permits
Audit-grade traceability Trace and record every question, query and answer

Connects to any data source - warehouses, databases & spreadsheets

SnowflakePostgreSQLBigQueryMongoDBDatabricksMySQLAmazon RedshiftRedisSQL ServerGoogle SheetsOracleElasticsearchExcelMariaDBGoogle CloudApache SparkAirtableAzureSQLiteTableauClickHouseSnowflakePostgreSQLBigQueryMongoDBDatabricksMySQLAmazon RedshiftRedisSQL ServerGoogle SheetsOracleElasticsearchExcelMariaDBGoogle CloudApache SparkAirtableAzureSQLiteTableauClickHouseSnowflakePostgreSQLBigQueryMongoDBDatabricksMySQLAmazon RedshiftRedisSQL ServerGoogle SheetsOracleElasticsearchExcelMariaDBGoogle CloudApache SparkAirtableAzureSQLiteTableauClickHouse

Embedded enterprise controls

Enterprise analytics needs more than an AI response.

QuaerisAI gives teams source-backed answers across enterprise data, with definitions, permissions, lineage, and audit records attached to every response.

Natural-Language Queries

Smart Semantic and Context Layer

Trusted responsible Agents

Data + Documents + Collaborations

Predictive & Proactive Insights

Source Citations & Lineage

Talk to Us Free Enterprise Trial

What powers it

Search, reason, cite,and act across your data

Governed Definition

The Semantic Layer

Define business logic once so every team works from the same metrics, relationships, and approved definitions.

Maps database tables and columns to business entities dynamically
One centralized logic update reflects immediately across all models

Explore Semantics

After: the Quaeris governed semantic layer defining one certified revenue metric

Before: fragmented dashboards, each reporting a different revenue figure

Governed analytics,
tuned to how you're regulated.

A tablet showing market performance charts beside banded cash on a desk

Day 4

Private Equity

Connect a newly acquired company's accounting and ERP systems in days, track EBITDA and the value-creation plan against target, and fold each bolt-on into one certified view.

See it for Private Equity

Glass office towers photographed looking upward against the sky

Private Capital

Receipts, banknotes and a tax return under a magnifying glass

Insurance

A shopping trolley standing in a fully stocked supermarket aisle

Retail & CPG

Warehouse-Native & Secure

Your data never leaves your warehouse.We bring the agents to it.

QuaerisAI securely connects to Snowflake, BigQuery, Databricks, Redshift and Synapse - without moving your data. Access is role-based, and every question is logged.

Architecturepush-down execution

Audit Trail

09:14:03 UTCJohn asked a question"What was Q3 net revenue for APAC?"user: john@co · role: Analyst
09:14:03 UTCRole verified · Scope: APACFinance data access confirmed. Row-level filter applied.Scope: APAC
09:14:04 UTCMatched certified metricnet_revenue v3 · Owner: FP&A · Certified 2026-04-12Certified v3
09:14:05 UTCQueried FINANCE_DW in placeFINANCE_DW.fct_revenue · Snowflake push-down0 rows copied · 0 egress
09:14:06 UTC$48.2M returned · +6.1% QoQAnswer delivered to John. Audit record written.Audit #A-10293

What our users are saying

CFOs, data leaders, and analysts across finance, insurance, and retail - in their own words, with the outcomes they measured after deploying Quaeris.

Sofia Reyes
Orbit Analytics
The lineage view alone justified the rollout. Anyone can click an answer and trace it straight back to the source table - so we stopped re-litigating numbers in every meeting and started acting on them. That transparency is what governance actually looks like.
Devon Walsh
Lumio Retail
Every analytics AI we tried invented numbers when it didn't know the answer. Quaeris is architecturally different - it queries governed metrics, so it simply can't hallucinate. That's the part our board cared about.
Aanya Tan
Vertex Health
I was wary of giving executives direct query access. Role-based controls meant I didn't have to be - everyone sees only what their role permits, enforced at query time, not bolted on after.
Marcus Hale
Kova Finance
My analysts had become the pipeline - every question turned into a ticket. Now finance asks in plain English and gets a sourced answer in under a minute. The backlog just disappeared.
Hannah Brooks
Meridian Insurance
Quarterly regulatory submissions took three weeks of reconciliation. With certified metrics and automatic lineage on every answer, we're done in four days - and examiners stopped asking where the numbers came from.
Chris Jordan
Cedar Group
We'd spent years and real budget on a modern stack almost nobody used. Quaeris pushed self-serve adoption past 40% in a quarter and cut our BI dev spend by 70% - without another hire.