Turn analytics into a retention engine.
Built for fast-moving product teams.
Your customers get actionable insights inside your product. Your engineers ship faster. Retention takes care of itself.
Every embedded analytics project
eventually hits the same wall.
Six months in, you're maintaining a data team you never wanted.
- Your engineers rebuild
multi-tenant securitythree times before it's safe to ship - Per-customer data management pipelines turn into your weekend on-call rotation
- Data management bills grow linearly with every tenant you onboard
- The “AI feature” is a GPT wrapper that can't see your schema
- Every new report type is a six-week front-end ticket
Multi-tenant analytics deployed seamlessly with your own infrastructure.
- Multi-tenant security at all layers is the
default, not a config you maintain - Fully customizable data management pipelines — every source, optimized for analytics
- Flat-rate licensing means tenant 10,000 costs the same as tenant 10
- AI-native features that read your semantic model, not guess at it
- Ship new analytics with ease, fully integrated with your dev lifecycle
Three things AI-native embedded analytics for SaaS must deliver.
No tradeoffs.
Embedded analytics · live in your customer's product
This is what your customers see.
The analytics layer your SaaS product needs.
For your customers, product, and business.
Embedded data lake managed inside your VPC. Transform, enhance, and route from any source.
Interactive dashboards, drag-and-drop chart builder, drill-downs, and white-labeled reports — all self-service.
Visual workflow builder for alerts, actions, and integrations. Conditional logic and ML models built in — no engineering required.
- Natural Language Prompts
- Autonomous Agentic Capabilities
- AI Assistant
AI that sees your schema, not guesses at it.
Natural language querying, anomaly detection, and AI-generated dashboards — grounded on your semantic model, not a hallucination. LLM-agnostic: bring OpenAI, Claude, Bedrock, or a private model. Built for where AI is going — MCP and autonomous analytics.
Ask your data a questionSelf-service that actually gets adopted.
Interactive reports, drag-and-drop chart builder, drill-ins, custom formulas, and responsive layouts — all fully white-labeled. Ship templates as starting points, or let customers create their own from scratch.
Embed a dashboard100% embedded and customizable.
JavaScript widgets, comprehensive APIs, webhooks, and full lifecycle management — provisioning, configuration, automation, and deployment. White-label everything to match your product's look, feel, and brand. Or access everything programmatically via comprehensive APIs.
See how it embedsMulti-tenant security at every level, not the prayer level.
The only purpose-built multi-tenant analytics platform for SaaS. Multi-tenant security baked in at every level — row, column, object, asset, and feature — not bolted on with VIEWs you have to maintain. One deployment scales from your first tenant to your ten-thousandth.
See multi-tenant securityVisualizations without the feature request.
Comprehensive visualization library, fully white-labeled to fit seamlessly into your product. Custom themes, responsive layouts, drill-downs, and interactive filtering — all controlled by you. End the feature requests. Give customers the tools to build what they need.
See what your customers seeAutomate every insight into action.
No-code workflow builder that lets your customers create alerts, notifications, and triggers — all tenant-aware, all embeddable. Analytics stops being something they look at and starts being something they act on.
Create a workflowPut a real number on build vs. buy.
Real numbers, no guesswork.Get pricing for your team.
Within one business day.
With pricing built for SaaS,
you can grow without limits.
Flat-rate platform fee — no per-seat charges, no per-tenant pricing.
Tell us about your objectives and we'll get you a number within one business day or less.
- Self-service embedded analytics
- AI-driven insights
- Pixel-perfect reporting
- No-code workflow automation
- Multi-tenant security
- Semantic layer
- Automated content deployment
- Multi-cloud deployment
- Flat-rate pricing
- Unlimited users, dashboards, tenants
- Built-in data engine
- Data transformation layer
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.
Read the EvenFlow case study →
Qrvey unlocks next-level tenant flexibility and dashboard management, helping us deliver a fully personalized analytics experience for every customer.
Qrvey 9 brings to the table some incredible enhancements — the biggest release we've seen yet. We're particularly excited about the revamped dashboard creation experience, native dashboard sharing options, dataset creation and subscription improvements. On top of that the snappier/cleaner UI has us absolutely pumped to bring this to our customers.
Read the JobNimbus case study →
Qrvey allowed Impexium to go to market quickly and get analytics into the hands of our customers.
Read the Impexium case study →
Questions we
actually get asked.
How is multi-tenant security enforced?
Qrvey inherits your existing security model. Multi-tenant rules are enforced at every level — row, column, object, asset, and feature.
Do we have to move our data?
No. Qrvey supports a managed analytics data lake deployed inside your VPC, or Live Connect to query your existing databases and warehouses directly.
What happens at 10,000 tenants?
The same thing that happens at 10. Our largest customers run Qrvey at that exact scale on a flat-rate contract — query latency stays sub-second, costs stay predictable.
Can we bring our own LLM?
Yes. OpenAI, Anthropic, Bedrock, a fine-tuned OSS model running in your VPC — all supported. The semantic layer is the grounding mechanism, not the model.
How does this fit our CI/CD?
Schemas, dashboards, and semantic models are declarative and version-controlled. Promote between environments with the same pipeline you already use.
What does it actually cost?
Flat annual platform fee. Not per seat, not per query, not per tenant. You'll get a number you can model in a spreadsheet in fifteen minutes.
How is Qrvey deployed?
As Kubernetes containers in your own AWS, Azure, or GCP account. Single-tenant, your VPC, zero data egress by default. Compliance teams typically sign off in days, not quarters. Full architecture available on request.
What's the security and compliance posture?
Qrvey supports SOC 2, HIPAA, and GDPR implementations. Multi-tenant isolation enforced at all levels of the solution. Your data never leaves your cloud or VPC.
Will it actually look like our product?
Yes. Every component takes your design tokens, your typography, your color system, your dark mode. Or render dashboards entirely with your own UI via comprehensive APIs. No "powered by" badge, no vendor chrome, no telltale third-party look.
Try the product,
right now.
Everything you'd see in a first call, on your own time.
Ask your data a question
Type a question. See it answered in plain English.
Try the AI →Build a dashboard
Drag, drop, customize — no code, no sprint.
Build one now →Customize the UI
Apply your tokens, your brand, your dark mode.
Make it yours →Create a workflow
Turn dashboards into alerts, actions, and triggers.
Build a workflow →Skip the fluff.
Let's do the demo.
Talk to an analytics expert who's shipped embedded analytics thousands of times for products like yours.
Runs in your cloud, not ours