Conflicting numbers across teams
Every team has its own definition of revenue, activation rate, or churn. Quaeris's Smart Semantic Layer certifies one definition and enforces it across every agent answer - so the board debate stops.
SolutionsGoverned analytics built for your team.
Governed analytics built for your team.
Trusted in your industry.
Quaeris connects your data warehouse to a governed semantic layer and surfaces trusted, auditable answers - whether you run a data platform, lead analysis, or make decisions. Built for regulated industries where getting the number wrong has consequences.
Solutions Intelligence Brief
Revenue Query Volume · Last 30 Days
Finance & Accounting41% of total
Sales Operations29% of total
Executive Suite18% of total
Sources verified: Audit Log · Semantic Layer · Role Registry
100%Traceable
3 sourcesCross-verified
ZeroSQL required
Data TeamsControl access, cut the ticket queueAnalystsSelf-serve at speed, with full auditExecutivesReliable answers without waiting on reportsFinance & InsuranceGoverned analytics for audit-ready decisionsHealthcarePrivacy-aligned insight at the point of needManufacturing & ConstructionMargin and quality analytics from your own data
Why teams choose QuaerisThe three breakdowns that governed
The three breakdowns that governed
agentic analytics fixes.
Analysts buried in ad-hoc requests
Business users wait days for answers that take minutes to retrieve. Quaeris gives any user a governed natural-language interface to their own data - agents answer; analysts focus on work that compounds.
AI that can't be audited or trusted
Most AI analytics tools are model-locked and produce outputs with no traceable lineage. Quaeris maintains a prompt-level audit trail and supports BYOM - so your compliance team can verify every answer and swap models as standards evolve.
By teamBuilt for every person
Built for every person
who touches your data.
Quaeris adapts to where you sit in the analytics workflow - not the other way around.
Reduce the request backlog. Stay in control.
Your data team defines the governed semantic layer once. From that point, business users get answers without filing a ticket - while you retain full visibility into every query, every access decision, and every answer produced.
- Role-based access enforced at query time, not dashboard filter
- Full prompt-level audit trail for every agent interaction
- Auto-learning Smart Semantic Layer grows without upfront LookML or MDX sprints
Self-serve at speed. Without sacrificing trust.
Stop acting as a translation layer between business users and the warehouse. Ask complex, multi-step questions in plain language and receive source-cited answers. Quaeris agents chain forecasts, anomaly detection, and root-cause steps - so your analysis runs further, faster.
- Autonomous multi-step workflows: fetch, filter, forecast, root-cause - one query
- Every answer cites the metric definitions and tables it used
- Connect structured warehouse data and unstructured documents in a single query
Reliable answers. Without waiting on reports.
Ask the question you actually have - not the question a dashboard was pre-built to answer. Quaeris agents retrieve governed answers from your certified semantic layer with role-based access enforced. No hallucinations, no stale exports, no ticket.
- Questions answered in seconds against live warehouse data
- Proactive alerts flag anomalies before they reach your inbox as problems
- Every answer is auditable - traceable to its source metric definition
60%Reduction in ad-hoc requests across deployed teamsIllustrative · representative of early deployments
45 secMedian time from question to governed answerIllustrative · varies by warehouse and query complexity
0Hallucinated numbers - every answer cites its sourceStructural guarantee, not a metric
4 wksTypical time to first governed answer in productionIllustrative · semantic layer pre-seeded from existing tables
Illustrative outcomes across Quaeris deployments. Actual results vary by environment.
By industryGoverned analytics for
Governed analytics for
regulated industries.
Generic AI BI tools avoid regulated verticals. Quaeris is built precisely for industries where the number has to be right, auditable, and traceable.
Finance
Conflicting KPIs across desks, portfolios, and legal entities create audit exposure.
- Single certified metric definition per KPI across every reporting entity
- Prompt-level audit trail designed to support SOX agent-control documentation requirements
Insurance
Claims, underwriting, and actuarial teams work from different extracts of the same data.
- Unified governed query across structured warehouse and unstructured policy documents
- Deployment architecture supports HIPAA-aligned data handling requirements for health lines
Retail & CPG
Merchandising, supply chain, and marketing report different revenue numbers to the same executive.
- Smart Semantic Layer certifies revenue, margin, and sell-through across all regional teams
- Autonomous multi-step agents connect POS, inventory, and promo data in one query
Healthcare
Patient, claims, and operational data live in separate systems - and governance requirements make ad-hoc joins risky.
- Data & Document Agents unify structured EHR warehouse data with unstructured clinical notes in one governed query
- Role-based access and full audit trail aligned to healthcare data privacy requirements
Manufacturing
Quality, OEE, and margin metrics are scattered across PLCs, ERPs, and line-level exports.
- Conversational queries against Snowflake / Azure Synapse / Databricks without moving data
- Proactive anomaly detection flags quality issues before they propagate to downstream lines
Construction
Project margin, subcontractor spend, and schedule data are manually reconciled in spreadsheets long after the window to act.
- Natural-language queries across project, financial, and document data in one governed interface
- Autonomous agents surface margin erosion signals as they occur, not at month-end
Four things Quaeris does
that no other platform does together.
These are the structural differences - not feature checkboxes.
Model independence
Bring Your Own Model. Your compliance team controls which AI runs on your data.
Quaeris connects to OpenAI, Anthropic, Google, and Meta models. You choose which model processes your data - and you switch as the landscape evolves. No vendor lock-in means your AI governance policy isn't hostage to a single provider's roadmap. This is BYOM framed as a compliance feature, not a procurement one.
Learn about BYOMModel selection - your governance, your choice
OpenAI GPT-4o active · query processing on your infrastructure
Your data never leaves your environment - model API receives only governed query context
Smart Semantic Layer
A semantic layer that learns your business - without a modeling sprint.
Every other semantic layer requires your team to write LookML, dbt metrics, or MDX cube definitions before the first query runs. Quaeris's Smart Semantic Layer learns business definitions and data relationships from user interaction. Setup takes weeks, not quarters - and the layer keeps improving as teams use it.
Explore the semantic layerSmart Semantic Layer · auto-learning
No LookML or MDX required to get started
Definitions improve with each certified query
First governed answer typically in weeks, not quarters
Governance by design
Every question, every agent step, every answer - logged and traceable.
Quaeris maintains a full prompt-level audit trail: who asked what, which agent steps ran, which metric definitions were used, which data was returned. This is the audit story compliance teams need when regulators ask about AI-generated outputs - and it maps directly to EU AI Act obligations and the SOX expansion to AI agents. No other analytics platform publishes this story.
See governance controlsAudit log · live trail
J. Okafor · "Show Q3 revenue by region"14:31:02
Access check · role ANALYST_EMEA approved14:31:02
Metric used: revenue · v3.1 · GL 4000–409914:31:03
Answer returned · model: GPT-4o · 0.9s14:31:04
Data & Document Agents
Ask questions that span contracts, invoices, and your warehouse - in one query.
Document AI tools don't execute SQL. BI platforms don't read PDFs. Quaeris's Data & Document Agents extract structured fields from contracts, invoices, and reports and join them with warehouse fact tables in a single natural-language query. This is the only governed, unified query capability available across both structured and unstructured enterprise data.
Explore document agentsUnified query · warehouse + documents
"Compare contracted vendor rates in Q3 invoices against actuals in the warehouse. Flag overruns."
Warehouse (Snowflake)
Invoices (SharePoint)
Contracts (Google Drive)
Governed semantic layer
3 vendor overruns found · total delta $142K · sources cited
Customer proof
Real outcomes. Governed answers.
Illustrative outcomes from Quaeris deployments. All case studies are anonymized; role and industry are representative of actual engagements.
Workforce Development Organisation
"Our data team used to field 30+ ad-hoc requests a week. With Quaeris, program managers get their own governed answers in seconds - and the audit trail gives us the compliance documentation we needed for our board."
- Head of Data & Analytics, EdTech organisation (illustrative)
~60% fewer ad-hoc tickets45-second answer timeZero SQL required
View case studiesRegional Investment Manager
"We needed a single certified definition of AUM and net inflows across eight legal entities. Quaeris locked the metric in the semantic layer and made the audit trail available on demand - our external auditors approved the process in the first review."
- VP Analytics, regional asset manager (illustrative)
One certified AUM definitionAudit-ready on demand4-week deployment
View case studiesWorks with your existing warehouse and data sources
SnowflakeBigQueryDatabricksAzure SynapseAmazon RedshiftSharePointGoogle Drive
See all integrationsCommon questions
Questions about solutions and fit.
One platform. The team and industry pages describe how the same governed agentic analytics platform - Context Engine, Answer Engine, Decision Engine - maps to the specific workflows and pain points of each audience. The semantic layer, BYOM model choice, prompt-level audit trail, and Data & Document Agents are available across all deployments. Industry-specific content reflects the compliance posture and data patterns common to that sector.
Ready to see it in your environment?
Governed analytics built for the way your team actually works.
Book a 30-minute demo. We'll connect to your warehouse, configure a governed semantic layer against your data, and show you a live answered query - no slides, no placeholder data.