Context Engine
Interprets natural-language questions, integrates with your data warehouses and document sources, and activates the governed semantic layer - so the right data is in scope before any answer is generated.
Founded in San Francisco · seek@quaeris.ai
Secure, Governed Analytics. Powered by Trusted Agents.
Quaeris exists because the enterprise deserved an analytics platform where AI answers are audited, where the model is your choice, and where data governance is a design principle - not a checkbox bolted on at the end.
HeadquartersMission & 3rd, San Francisco, CA 94103
General inquiriesseek@quaeris.ai
MissionGoverned Agentic Analytics
The problem we set out to solveEnterprise AI analytics had a
Enterprise AI analytics had a
governance deficit.
Every major analytics vendor was racing to add AI. Almost none of them asked: who audits the answers? Who chooses the model? How does a regulated company trust a response it cannot trace?
The gaps we found
Ungoverned answers
AI answers generated from language model weights rather than certified, auditable metric definitions. No traceability. No compliance story.
Model lock-in
Every hyperscaler tied the AI layer to their own model. Snowflake to Cortex. Microsoft to Azure OpenAI. Procurement choice became compliance risk.
Structured-only blindspot
Documents and data warehouses lived in entirely separate stacks. No product unified a SharePoint contract with a Snowflake fact table in a single governed query.
How Quaeris responds
Governed answers from day one
Every Quaeris answer is grounded in the Smart Semantic Layer - auto-learned, auditable metric definitions your team controls, not the model.
BYOM: your model, your compliance team's choice
Connect OpenAI, Anthropic, Google, or Meta models and switch as the landscape evolves. The model is your procurement decision, not ours.
Documents and warehouse data in one governed query
Data Agents unify structured warehouse tables and unstructured documents - contracts, invoices, reports - in a single natural-language query with a single audit trail.
How the platform is builtThree engines.
Three engines.
One governed system.
The Quaeris platform is not a chatbot placed in front of a BI tool. It is a purpose-built three-engine information architecture where governance is enforced at every layer.
Answer Engine
Executes governed queries, surfaces search-ready insights, and delivers answers that can be shared across teams - all traceable to the certified metric definitions in the Smart Semantic Layer.
Decision Engine
Pins insights to pinboards, embeds governed analytics in external applications, and delivers resonant data experiences - keeping every number anchored to a verified source.
Platform capabilitiesThe six capabilities that make
The six capabilities that make
analytics trustworthy.
Each capability is a deliberate response to a gap in the market - not a feature added to hit a checklist.
Smart Semantic Layer
Automatically learns business definitions and data relationships from user interaction - no upfront LookML or MDX modeling sprint required. Every metric is defined once and applied consistently across every team, every report, every answer.
Natural Language to SQL
Plain-English questions translated into precise, governed SQL - checked against the semantic layer rather than free-form generation. Accuracy is structural, not probabilistic.
Autonomous Multi-Step Workflows
Agents plan and execute analyses - fetch, filter, join, forecast, anomaly-detect, root-cause - without a human checkpoint at every step. The audit trail captures each step.
Predictive & Proactive Analysis
Forecasts, anomaly flags, root-cause diagnosis, and proactive alerts so issues surface before they affect business outcomes.
BYOM - Bring Your Own Model
Connect OpenAI, Anthropic, Google, or Meta models and switch as the landscape evolves. Quaeris is not the model gatekeeper - your compliance team is.
Data & Document Agents
Extract structured fields from contracts, invoices, and documents - then join with warehouse fact tables in one natural-language, governed query. Structured and unstructured data unified without a separate pipeline.
Where Quaeris is deployedBuilt for industries where
Built for industries where
governance is not optional.
Regulated, complex, data-intensive industries were the design target - not an afterthought.
Finance
Auditable answers on revenue, risk, and compliance metrics - with prompt-level audit trails for SOX and internal controls.
Insurance
Governed queries across claims, actuarial, and underwriting data - unified with policy documents in a single agent workflow.
Retail & CPG
Merchandising, inventory, and customer analytics from a semantic layer that speaks the language of the business, not the warehouse schema.
Healthcare
Clinical, operational, and financial queries under role-based access controls designed with HIPAA requirements in mind - HIPAA controls are on our roadmap.
Manufacturing
Quality, throughput, and supply-chain analytics driven by agents that can join machine logs with ERP fact tables.
Construction
Project margin, subcontractor, and procurement analytics - governed and auditable from field data to executive dashboard.
Warehouse-native by designYour data stays in
Your data stays in
your environment.
Quaeris connects directly to your existing data infrastructure - no data copies, no pipelines to rebuild. Your warehouse is the system of record. Always.
Data warehouses
Snowflake
Google BigQuery
Databricks
Azure Synapse
Amazon Redshift
Document sources
Microsoft SharePoint
Google Drive
Proof signalsAnalytics teams trust
Analytics teams trust
governed answers.
6Regulated industries served in productionPending verification
7Data platform integrations availablePending verification
100%Audit-trail coverage on every governed queryPending verification
"Quaeris gave our compliance team something they hadn't had before: a straight line from a business question to a traceable, auditable answer. That changed how quickly we could close our quarter."
G2Reviews coming soonProfile not yet live
Gartner Peer InsightsReviews coming soonProfile not yet live
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The teamBuilt by people who understand
Built by people who understand
enterprise data.
The Quaeris team combines deep experience in analytics infrastructure, enterprise security, and applied AI - focused on one problem: making data answers trustworthy at scale.
We're hiringWhat we stand forGovernance is a design principle,
Governance is a design principle,
not a feature flag.
Governance-first architecture
We do not bolt governance onto an existing product. The Smart Semantic Layer, the audit trail, and the role-based access controls are load-bearing structures - removing any one of them changes what the product is.
Model neutrality
An enterprise's choice of AI model is a procurement and compliance decision, not a vendor's revenue strategy. BYOM is not a selling point - it is a principle.
Full auditability
Every question asked, every agent step taken, every answer returned is logged. Prompt-level audit trails are not an enterprise edition feature. They are the default.
Customer data stays with customers
Quaeris is warehouse-native. Your data never travels to Quaeris infrastructure. This is an architectural commitment, not a contractual promise.
Our story
How Quaeris came to be built.
Click any milestone to expand.
The origin
The governance problem was clear before the solution was.
Enterprise analytics teams were building on AI tools that returned answers without lineage. For regulated industries, that wasn't an inconvenience - it was a blocker. The question Quaeris was founded to answer: can you make an AI analytics answer as auditable as a signed financial statement?
The first design decision
Governance had to be the foundation, not a feature.
The Smart Semantic Layer was the first architectural choice - not the last. Rather than layering governance over a BI tool or an LLM, Quaeris built the semantic layer as the load-bearing structure every answer would flow through. Auto-learned. Version-controlled. Auditable by default.
The model-neutrality commitment
BYOM wasn't a product differentiator. It was a principled refusal.
As hyperscalers tied their AI analytics layers to their own model stacks, Quaeris made the opposite choice: connect to any model, switch at any time, own the compliance decision entirely. BYOM became a structural commitment before it became a marketing message.
Expanding the governed surface
The warehouse was not enough. Documents had to be governed too.
Finance teams found that half their data lived in contracts, invoices, and reports - not in the warehouse. Document Agents extended the governed semantic layer to unstructured sources, enabling a single audit-traced query across both. No second pipeline. No second compliance story.
Today - San Francisco, CA
Governed agentic analytics, deployed in regulated industries.
From San Francisco's Mission & 3rd, the Quaeris platform runs across Finance, Insurance, Healthcare, Retail, Manufacturing, and Construction. MCP-ready. Warehouse-native. Audit-first. The mission hasn't changed - only the number of industries that need it has grown.
Ready to evaluate Quaeris?
See a governed answer against your own data.
Book a 30-minute demo. We connect to your warehouse, walk through the semantic layer, and show you an auditable answer - no slides, no fabricated data.