Embedded dashboards your customers actually want to use.
Qrvey gives SaaS teams a complete embedded data visualization layer — so interactive dashboards, reports, and self-service exploration go live inside your product as a native experience, not a BI tool bolted on the side.
Adding charts is easy.
Owning the analytics layer isn't.
Most SaaS teams start by dropping a few charts into the product. Then customers keep asking for more — interactive dashboards, custom reports, filters, drill-downs, exports, personalization, real-time updates. What started as a dashboard project quietly becomes a long-term analytics platform commitment, owned by the same engineers who were supposed to be working on the product.
Embedded charts don't feel like the product.
Iframes and disconnected BI tools sit next to the product instead of inside it — different style, different navigation, different mental model. Customers can tell when analytics was bolted on and engineers can tell when their team is the one bolting it.
Self-service turns into a permissions problem.
The moment customers can build their own dashboards, your team inherits a new job: making sure every tenant, role, and user sees only what they should. Without product-defined guardrails, “self-service” becomes a backlog of access tickets or a security risk you can feel in your shoulders.
The visualization stack becomes a product of its own.
Chart libraries, APIs, performance optimization, tenant-specific configurations, large-dataset rendering, front-end maintenance — five disciplines, one team. Every release adds something analytics-shaped to the engineering backlog instead of something customers asked for.
A visualization layer that lives inside your product.
Not next to it.
Qrvey gives SaaS teams a complete embedded data visualization layer — purpose-built for customer-facing experiences. Data connections, dashboards and reports, self-service builders, tenant-aware personalization, and JavaScript components and APIs work as one platform — so your team ships modern analytics experiences without rebuilding the visualization infrastructure under them.
Everything your product needs to deliver visualization.Without rebuilding the layer underneath it.
Analytics customers actually explore — in context.
Interactive dashboards, charts, and widgets where users can drill into the answer, not just stare at the question. The interactions are the product, not a feature buried two screens deep.
- Interactive charts and widgetsBar, line, area, geo, scatter, KPI, table, and more — all wired up for hover, select, filter, and drill out of the box. No custom chart-library plumbing to maintain.
- Dynamic filtering and drill-downsSlice by segment, region, role, plan tier, or any dimension in your model. Click into a number to see what's behind it — without leaving the dashboard.
- Responsive layouts and real-time updatesDashboards reflow for the surface they're embedded in, and refresh in real time when source data changes. Cross-dashboard navigation moves users through the answer, not away from it.
Analytics that feels like part of your product — because it is.
Embedded visualization should look, sound, and behave like your product. White-labeled JavaScript components and full UI control let analytics live inside your workflow, not next to it.
- White-label embedded UIYour brand, your typography, your colors, your component library look. Customers experience analytics as a feature of your product — not a vendor's UI pasted in.
- JavaScript components, framework-compatibleDrop dashboards, charts, the builder, and reports into whatever frontend you already run on. Not an iframe — actual UI primitives you can lay out alongside your own.
- Flexible layout & styling controlTheme tokens, layout APIs, and component-level styling let you match analytics to the rest of your product down to the corner radius and the empty state.
- Seamless user flowsAnalytics interactions emit events your product can react to — and respond to in-product context. The result behaves like part of the application, not a destination.
Customers shape their own analytics. Your team sets the rules.
Power users create dashboards, build reports, and define datasets — within data models, permissions, and feature gates your product team defined. Self-service that scales, instead of self-service that ships you a backlog.
- Dashboard creation and customizationEmbed the dashboard builder so customers can compose their own views — drag in visualizations, add filters, save layouts, share within their tenant. No “request a dashboard” ticket.
- Dataset creationPower users compose their own datasets from the data models your team exposed — without writing SQL or bothering you for a new join.
- Saved reports, views, and ad hoc explorationCustomers save the views they actually use, schedule reports, and explore data without flagging it for engineering. The product team stays out of the dashboard request queue.
- User-level personalizationIndividual users keep their own filters, defaults, and pinned dashboards — without affecting anyone else in their tenant. Analytics that remembers who's asking.
<qrvey-builder
workspace="customer-analytics"
scope="tenant:acme · role:power-user"
datasets="product-defined"
theme="yourco">
</qrvey-builder>
// Customer-created dashboards stay scoped to their tenant
qrvey.on('dashboard:saved', e => {
yourco.notify('New view', e.detail.name);
});
Self-service that doesn't keep your security team awake. Or your support team.
Tenant scopes, role-based access, and dataset-level permissions are enforced at the data layer and carried automatically through every visualization. The more autonomy you give customers, the more important this becomes.
- Tenant-aware permissionsEvery dashboard, chart, and dataset request runs inside the requesting tenant's scope. No surface gets a chance to invent its own rules.
- Role-based access controlsRoles map to your application's roles. End users explore. Power users build. Tenant admins configure. The visualization layer treats them differently — automatically.
- Dataset- and visibility-level rulesRow, column, object, and feature-level policies — defined once, applied across dashboards, the builder, and the embedded APIs. No “remembered to add the filter” failure mode.
- Secure embedded accessServer-side session tokens encode tenant, user, and role. The scope never travels to the client to be tampered with — so embedded surfaces stay safe at scale.
The visualization layer your engineers would have built — if they had three quarters.
Comprehensive APIs and JavaScript components cover the full embedded surface — data, models, permissions, dashboards, the builder, automation, and deployment. Your team integrates analytics; they don't rebuild the layer underneath it.
- Embedded APIsProgrammatic access to dashboards, charts, datasets, tenants, users, and permissions. Build the experience your product needs — not a vendor's default UI.
- Automation APIsProvision tenants, roll out new dashboards, schedule reports, and react to in-product events — programmatically. Analytics fits inside your CI/CD, not next to it.
- Reporting APIsGenerate, schedule, and deliver reports in any format — PDF, CSV, Excel, JSON, email, webhook. Customers get the artifact they want; your team writes none of the rendering code.
- Deployment and management APIsPromote dashboards and datasets from dev to test to prod. Per-tenant rollouts. Versioned content. Analytics releases run like product releases.
<script src="https://cdn.qrvey.com/embed.js"></script>
<qrvey-dashboard
id="account-performance"
tenant="acme"
token="\{server-side-token\}"
theme="yourco">
</qrvey-dashboard>
// Tenant scope enforced server-side
qrvey.on('drill', e => {
yourco.navigate('/accounts/' + e.detail.id);
});
Real SaaS surfaces, not generic BI demos.
Embedded data visualization shows up across your product — different audiences, different intents, different surfaces. Qrvey is built to power all of them as one consistent visualization layer, instead of stitching together five disconnected tools.
Customer-facing analytics dashboards.
Give customers visibility into the KPIs, trends, and operational metrics that matter to them — embedded directly into the workflow they already use. Native interactions, not a separate analytics tab they have to remember to open.
Embedded operational reporting.
Deliver reports, exports, and scheduled deliveries where customers already work. PDF, CSV, Excel, email, webhook, and more — the artifact your customers want, generated and delivered by the platform, not by your engineering team.
Self-service reporting.
Embed the dashboard builder so power users compose their own views, datasets, and saved reports — within product-defined models and guardrails. Self-service that earns its place in the product, instead of a backlog of dashboard requests.
Executive dashboards.
Give leadership teams embedded performance visibility across accounts, teams, and workflows — without standing up a separate executive reporting tool. Same data layer, different audience, no second tool to maintain.
AI-powered analytics experiences.
Combine embedded visualizations with Qrvey Sidekick and AI Agents (built-in + custom) reaching data through the Qrvey MCP Server — so customers get to the answer faster, inside the dashboards they already trust. Explore embedded AI →
Most embedded options were never built for SaaS applications.
Homegrown analytics and limited embedded tools deliver safe but static dashboards that quickly become a backlog. Other approaches promise self-service, but fall short when guardrails aren't strong enough for multi-tenant SaaS. Qrvey delivers true self-service visualization — dashboards and datasets — within product-defined models and guardrails, so customer autonomy scales without giving up control.
Visualization that holds up on the security review.
Embed analytics securely across many customers — while keeping control of the layer underneath.
Qrvey is designed for SaaS teams that need to embed analytics securely across many customers while maintaining control over infrastructure, permissions, and deployment. The visualization layer operates within product-defined models for roles, permissions, and data access — supporting secure, governed self-service as usage scales across users, organizations, and tenants.
Self-hosted in your VPC by default, so customer data and the embedded analytics surface stay inside the security perimeter your application already enforces. Same posture, broader capability.
What they say when we're not in the room.
The flexibility and ease of use with Qrvey's platform allows us to satisfy any use case that our customers ask for. They are blown away all the time when we say “Sure, we can support this request. We will have this ready for you later today.” That directly helps our customers run more efficiently and deliver a better experience — so nothing falls through the cracks.
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