Governed Agentic Analytics - Pricing

Pricing that matches how enterprise data actually works.

Q: Do you charge per query or per user?

No. Quaeris does not charge per query or per seat for business users who consume governed answers. Pricing is structured around your deployment scope - warehouse connections, active engines, and support tier.

Q: Is there a free trial or pilot program?

Yes. Quaeris offers a structured pilot program for qualified enterprise teams. A pilot connects to your existing warehouse, activates the Context Engine, and delivers governed answers against your real data. Contact sales to scope a pilot for your organization.

Q: Can we start with one warehouse and expand later?

Yes. The Team tier starts with a single warehouse connection. Professional and Enterprise tiers support multiple connections. You can upgrade tiers at any time - your semantic layer definitions, audit logs, and access policies migrate without reconfiguration.

Q: Which AI models does Quaeris support?

Quaeris is built on a Bring Your Own Model (BYOM) architecture. You can connect OpenAI, Anthropic, Google, or Meta models and switch providers without re-configuring your deployment. Your compliance team selects and certifies the model.

Q: Does Quaeris comply with HIPAA, SOC 2, and GDPR?

Enterprise tier deployments include controls for GDPR. HIPAA controls are on our roadmap. SOC 2 Type II and ISO 27001 certifications are in progress. All tiers run warehouse-native - your data is never copied to Quaeris infrastructure.

Q: How long does deployment take?

Most teams connect their warehouse and serve governed answers in production within a few weeks. Week one covers warehouse integration and Smart Semantic Layer setup. Week two covers user onboarding and access policy configuration. There is no data migration.

Quaeris deployments scale with your warehouse configuration, governance requirements, and active engines - not seats. Every tier runs warehouse-native; your data stays in your environment.

Governed Analytics
Warehouse-native. Data never copied.
Trusted AI agents

Most chosen

Team

For a single data team deploying governed natural-language analytics on one warehouse.

$1,000-$2,500 / month

Billed annually

Depending on number of Agents/Agent Runs, Users and Source Systems

$1,000-$2,500 / month

Billed monthly

Depending on number of Agents/Agent Runs, Users and Source Systems

Context Engine - Ask, Integrate, Activate
Smart Semantic Layer (auto-learning, up to 200 certified metrics)
Natural Language to SQL with governed prompt routing
Single warehouse connection (Snowflake, BigQuery, Databricks, Redshift, or Azure Synapse)
Role-based access controls - enforced at query time
Prompt-level audit log - 90-day retention
1 AI model connection (BYOM - one provider slot)
Community support + documentation
Standard SLA

Start a pilot See what's included →

Professional

For cross-functional analytics teams that need multi-engine workflows, document agents, and full audit readiness.

$2,500-$7,500 / month

Billed annually

Depending on number of Agents/Agent Runs, Users and Source Systems

$2,500-$7,500 / month

Billed monthly

Depending on number of Agents/Agent Runs, Users and Source Systems

Everything in Team, plus:
Answer Engine - Search, Share, Accelerate
Decision Engine - Pin, Embed, Resonate
Autonomous Multi-Step Agentic Workflows
Data and Document Agents (SharePoint, Google Drive ingestion)
Predictive and Proactive Analysis (forecasts, anomaly flags, root-cause)
Up to 5 warehouse connections
Extended prompt-level audit log - 1-year retention
3 BYOM model provider slots
Embedded analytics (pinboards and embeds)
Priority support + dedicated onboarding
Enhanced SLA

Talk to Us See what's included →

Enterprise

For regulated organizations that require multi-warehouse deployments, compliance controls, and a named success team.

Custom pricing

Contact sales for a configuration scoped to your environment.

Unlimited users · Custom SLA

Everything in Professional, plus:
Unlimited warehouse connections
Unlimited BYOM model provider slots - switch models without re-configuration
Multi-tenant and embedded OEM deployment options
GDPR data processing controls; SOC 2 Type II audit in progress; ISO 27001 in progress; HIPAA controls on our roadmap - see trust section for current status
Custom data residency configuration
Advanced role and attribute-based access controls
Extended prompt-level audit log - custom retention
SSO / SAML 2.0 / SCIM provisioning
Named Customer Success Manager
Dedicated SLA with custom uptime guarantee - scoped to your environment
Security review and procurement support

Contact Sales Download the Enterprise brief →

Feature comparison

What's included at each tier.

A full capability breakdown for procurement and IT co-signers.

Capability	Team	Professional	Enterprise
Context Engine
Natural Language to SQL (governed, semantic-layer grounded)
Smart Semantic Layer - auto-learning metric definitions
Warehouse-native connection (data never copied)
BYOM model provider slots	1	3	Unlimited
Warehouse connections	1	Up to 5	Unlimited
SharePoint and Google Drive document ingestion
Answer Engine
Conversational search across governed metrics
Autonomous Multi-Step Agentic Workflows
Predictive analysis (forecasts, anomaly detection)
Proactive alerts (surface issues before they impact)
Root-cause diagnosis
Data and Document Agents (structured + unstructured unified query)
Decision Engine
Pinboards (governed metric snapshots)
Embedded analytics (iframe / SDK embed)
Multi-tenant embedded / OEM deployment
Communities and shared insight distribution
Governance and Security
Role-based access controls - enforced at query time
Prompt-level audit log - retention	90 days	1 year	Custom
Attribute-based access controls
SSO / SAML 2.0 / SCIM provisioning
GDPR data processing controls
Custom data residency configuration
Support and Success
Priority support
Dedicated onboarding
Named Customer Success Manager
Custom SLA
Uptime SLA	Standard	Enhanced	Custom - contact sales

Deployment use cases

Find the tier that fits your team.

Three common deployment scenarios, each mapped to a Quaeris tier.

Governance-first deployments for regulated industries.

Finance, Insurance, Healthcare, and Manufacturing organizations use the Enterprise tier for its extended audit log, GDPR data processing controls, and custom data residency configuration. HIPAA controls are on our roadmap. The platform's BYOM architecture means your compliance team - not Quaeris - selects and certifies the AI model in your environment.

See regulated industry deployments →

A governed semantic layer your data team owns.

Data and analytics engineering teams deploy the Team or Professional tier to eliminate ad-hoc request backlogs. The Smart Semantic Layer auto-learns metric definitions from user interaction - no upfront LookML or MDX modeling sprint required. Your data team certifies; business users ask.

See platform capabilities →

Governed AI analytics embedded in your product.

SaaS companies and platform builders use the Enterprise tier's embedded analytics and multi-tenant deployment to ship governed natural-language analytics to their own customers - with full audit trails and role-scoped access enforced at the query layer.

See embedded analytics →

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.

Common pricing questions

Clear answers before the sales conversation.

If your question isn't below, there is a solutions engineer on the other end of the contact form.

How is Quaeris priced?

Quaeris pricing is based on your deployment configuration: the number of warehouse connections, the engines you activate (Context / Answer / Decision), and the governance and compliance controls your organization requires. There is no per-seat fee for business users who ask questions through the platform. Contact sales for a configuration scoped to your environment.

Do you charge per query or per user?

Is there a free trial or pilot program?

Can we start with one warehouse and expand later?

Which AI models does Quaeris support?

Does Quaeris comply with HIPAA, SOC 2, and GDPR?

How long does deployment take?

Pricing that matches how enterprise data actually works.

Pricing tiers

What's included at each tier.

Find the tier that fits your team.

Governance-first deployments for regulated industries.

A governed semantic layer your data team owns.

Governed AI analytics embedded in your product.

Clear answers before the sales conversation.

Talk to a solutions engineer. Not a form processor.