Turn analytics into
AI-native product experiences.
Qrvey's embedded analytics platform is built for SaaS product and engineering teams to deliver secure, scalable, agentic self-service analytics for their customers — without building and maintaining the infrastructure themselves.
- Deliver analytics features faster without diverting core engineering resources
- Embed AI-native analytics experiences directly into your product
- Scale across tenants without duplicating pipelines or dashboards
- Stay in control of your data architecture and costs
Building analytics into your SaaS product is harder than it should be.
Most SaaS teams don't struggle because they lack charts or reports. They struggle because analytics evolves outside the product. When analytics lives in separate BI tools or bolt-ons, it follows its own lifecycle, user experience, and release schedule.
Over time, analytics becomes harder to shape as part of the product and feels distinct — rather than foundational — to the customer experience.
You're stitching together databases, pipelines, dashboards, and permissions just to deliver basic reporting.
Every new customer or use case introduces more duplication — queries, schemas, dashboards, and logic.
Multi-tenant security becomes fragile and risky to maintain at scale.
Performance degrades as data volume and user concurrency grow.
Engineering teams get pulled away from core product innovation to maintain analytics infrastructure.
The AI-native embedded analytics platform designed for SaaS teams.
Build, deploy, and scale customer-facing analytics without the complexity of managing the underlying data infrastructure.
End-to-end embedded analytics infrastructure
Deliver a complete analytics stack — data ingestion, storage, modeling, visualization, AI — without assembling and maintaining separate tools.
Multi-tenant by design
Securely support thousands of customers with tenant-aware data, permissions, and experiences from a single architecture.
AI-powered experiences
Enable conversational analytics, intelligent agents, automated insights, and natural language interactions directly within your product.
Embedded analytics has to work for all three— or it doesn't really work at all.
Actionable insight in context
Customers need answers inside the product they already use — not a detour into a separate BI tool.
Speed and control
Product and engineering teams need to deliver analytics features as fast as the rest of the product — and stay in control of how they look, feel, and behave.
Predictable, scalable economics
The business needs analytics that scale with customer adoption — without unpredictable infrastructure or per-tenant costs.
Integrated into your product — deliberately and repeatably.
Qrvey integrates analytics into your product the same way modern SaaS teams integrate everything else.
Connect
Integrate your data sources, pipelines, and application environment into Qrvey's platform using APIs and native connectors.
Configure
Define data models, tenant structures, permissions, and user experiences tailored to your product and customers.
Embed
Embed dashboards, reports, builders, and AI-driven analytics directly into your SaaS application using token-based integration and full UI control.
Scale
Analytics assets move through development, test, and production using built-in lifecycle support — so teams can deliver and iterate with confidence as data volumes, users, and tenants grow.
Five capabilities that turn your analytics into a retention engine.
Everything you need to deliver AI-native customer-facing analytics — without stitching together a separate data stack underneath.
Turn data into interactive, agentic experiences.
- Natural language querying→Customers ask questions in plain English and get instant answers.
- AI-generated insights→Trends, anomalies, and opportunities surface automatically.
- Embedded AI experiences→Agents live inside your product workflows, not in a separate tab.
Deliver secure analytics across all customers from a single platform.
- Tenant-aware data security→Each customer only accesses their data — enforced automatically on every request.
- Shared infrastructure model→No duplication of pipelines, schemas, or dashboards across tenants.
- Granular access controls→Tenant, role, and user-level permissions — without rebuilding governance per feature.
Bring all your customer data into one analytics-ready environment.
- Built-in ETL/ELT→No reliance on external tooling to prepare data for analytics.
- Multiple data sources→Unify fragmented data ecosystems into a single analytics layer.
- Automated pipeline management→Lower operational overhead — pipelines stay healthy without manual babysitting.
End users explore data, filter, drill, and answer their own questions.
Reduce friction and dependence on custom reports — your customers can interact with data directly inside the product.
- Configurable dashboards and reports→Adapt to different customer needs without custom builds.
- White-label UI components→Match your product experience exactly — fonts, colors, and layouts you control.
- Ad hoc exploration→Empower end users to answer their own questions without a custom report request.
Integrate analytics deeply into your product.
- Robust APIs and JavaScript components→Full customization, framework-compatible, no SDK lock-in.
- Embedded UI components→Accelerate front-end development with white-labeled, ready-to-embed pieces.
- MCP-enabled integration→Connect AI assistants and agents to analytics assets using governed access controls.
Built differently than traditional approaches.
Built for SaaS — not BI bolt-ons or custom builds.
BI tools create detached experiences and duplicated security. Custom analytics offers control but becomes costly to evolve. Qrvey delivers embedded analytics as a SaaS-native platform that balances customer autonomy with product-level control — so analytics scales with your product.
Building and maintaining pipelines, storage, dashboards, and permissions from scratch.
A complete, integrated analytics platform that removes infrastructure burden and accelerates delivery.
Retrofitting internal BI tools for customer-facing use cases.
A platform designed specifically for embedded, multi-tenant SaaS applications.
Stitching together visualization tools with separate data pipelines and AI layers.
An end-to-end, AI-native platform that combines data infrastructure, analytics, conversational experiences, and agents.
Embedded analytics only works when it works for everyone.
Customers need actionable insight in context. Product teams need speed and control. The business needs analytics to scale predictably and generate revenue. Qrvey is built to serve all three — as a single, cohesive platform — so embedded analytics reinforces your product strategy instead of competing with it.
Retention without roadmap drag
Deliver differentiated, data-driven features that increase product value and retention — without slowing roadmap velocity.
Less infrastructure to own
Reduce the complexity of building and maintaining analytics infrastructure — avoiding analytics-specific security and lifecycle re-implementation.
Scale without the sprawl
Maintain performance, reliability, and scalability without managing fragmented systems or per-tenant infrastructure.
Predictable economics at scale
Accelerate time-to-market while controlling costs and technical risk. Gain predictable economics as analytics adoption grows.
Case Study
See how JobNimbus deployed Qrvey to 6,000 customers and saw an immediate reduction in customer churn.
Read the case study →Works with the data and application stack you already run.
Qrvey integrates with your existing stack — so you don't need to rip and replace what already works.
Connect to cloud data warehouses and databases
Integrate with your application via APIs and SDKs
Support for modern data stacks (ETL/ELT tools, event streams)
Flexible deployment options (cloud-native environments)
Bring AI assistants and agents into your analytics — governed.
- Connect AI assistants and agents to analytics assets through the Qrvey MCP Server.
- Govern access using the same permissions and tenant boundaries already defined in the platform.
Built for enterprise SaaS requirements.
Qrvey embedded analytics respects application security models, tenant boundaries, and governance requirements — by design.
Deployment, scalability, and operational architecture are addressed through the broader Qrvey platform and related pages.
Ready to make analytics
the reason customers stay?
Deliver the AI-native, multi-tenant analytics your customers actually adopt — and renew on — without rebuilding the data layer underneath your product.
Runs in your cloud, not ours