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.
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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.
- CategoryAI Data Analysis
- Pricing ModelFlat-rate
- DeploymentCloud
- PlatformsAWS, Azure, GCP
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?
Configure: Set up your multi-tenant environment
Embed: Integrate analytics into your SaaS application
Customize: Tailor the UI to match your brand
Automate: Create workflows and alerts
Qrvey Embedded Analytics Platform's Use Cases
- SaaS Analytics
- Healthcare Analytics
- Financial Analytics
- IoT Analytics
- Operational Analytics
