Qrvey Embedded Analytics Platform

Description

Qrvey is an AI-native embedded analytics platform specifically built for SaaS companies. It allows businesses to deploy embedded analytics, AI assistants, and workflow automation within their SaaS applications without the need to build analytics infrastructure from scratch. The platform is designed to be multi-tenant, AI-native, and deployable on major cloud platforms like AWS, Azure, and GCP.

Qrvey offers a comprehensive solution for embedded analytics, including self-service dashboards, workflow automation, and embedded AI analytics powered by its MCP server. The platform supports a native multi-tenant data lake, ensuring that data is managed securely and efficiently. With features like AI Chart Builder and Qrvey Sidekick, users can create interactive dashboards and automate workflows without requiring extensive engineering effort.

The platform is designed to be fully customizable, with a white-label UI and API-first integration, allowing businesses to match the analytics experience with their product's look and feel. Qrvey's flat-rate pricing model offers unlimited users, dashboards, and instances, making it a cost-effective solution for SaaS companies looking to scale their analytics capabilities.

Qrvey's AI capabilities include natural language querying, anomaly detection, and AI-generated dashboards, which are grounded on the user's semantic model. The platform is LLM-agnostic, supporting models like OpenAI, Claude, and Bedrock, or even private models. This flexibility ensures that businesses can leverage AI to drive insights and actions within their applications.

Qrvey is trusted by industry-leading B2B SaaS companies for its ability to deliver powerful, flexible, and AI-driven analytics. It empowers SaaS companies to provide world-class analytics to their customers securely and at scale, making it a valuable partner for businesses looking to enhance their product offerings with embedded analytics.

Qrvey Embedded Analytics Platform's Core Features

• AI-native embedded analytics

• Multi-tenant architecture

• Self-service dashboards

• Workflow automation

• White-label UI

• API-first integration

• Cloud-native deployment

• Flat-rate pricing

• Natural language querying

• Anomaly detection

• AI-generated dashboards

• LLM-agnostic support

• Data pipeline management

• Interactive reports

• Customizable visualizations

How to use Qrvey Embedded Analytics Platform?

1. 1

   Configure: Set up your multi-tenant environment

2. 2

   Embed: Integrate analytics into your SaaS application

3. 3

   Customize: Tailor the UI to match your brand

4. 4

   Automate: Create workflows and alerts

Qrvey Embedded Analytics Platform's Use Cases

• SaaS Analytics
• Healthcare Analytics
• Financial Analytics
• IoT Analytics
• Operational Analytics

FAQ from Qrvey Embedded Analytics Platform

• What is Qrvey's pricing model?

  Qrvey offers flat-rate pricing with unlimited users, dashboards, and tenants, eliminating per-seat fees.

• Can Qrvey be deployed in my cloud environment?

  Yes, Qrvey supports deployment on AWS, Azure, and GCP using a containerized Kubernetes architecture.

• Does Qrvey support AI capabilities?

  Yes, Qrvey includes AI-driven insights, natural language querying, and supports various LLMs.

• Is Qrvey suitable for multi-tenant SaaS applications?

  Absolutely, Qrvey is purpose-built for multi-tenant SaaS environments with native security features.

• Can I customize the analytics UI with Qrvey?

  Yes, Qrvey offers a white-label UI that can be fully customized to match your product's branding.

• Does Qrvey provide self-service analytics?

  Yes, users can build dashboards, customize visualizations, and create datasets independently.

• What are the deployment options for Qrvey?

  Qrvey can be deployed in your own cloud environment, ensuring data stays within your control.

• How does Qrvey handle data security?

  Qrvey enforces multi-tenant security at all levels, including row, column, and schema-level security.