Qrvey
by Qrvey
· Based in United States →
— The AI-native embedded analytics platform designed specifically for SaaS companies.
Custom pricing
Overview
Qrvey offers an embedded analytics solution designed for SaaS products, providing scalable, customizable, and HIPAA-compliant analytics with no-code automation. The platform is a full-stack solution that includes a multi-tenant data lake, a unified data pipeline for ingesting and transforming various data types, and a semantic layer for managing data security and user access. It enables SaaS companies to deliver robust, self-service reporting and data visualization experiences to their customers, with features like dynamic dashboards, customizable reports, user-level personalization, and data-driven workflow automation. Qrvey’s platform is fully white-labeled, allowing seamless integration with the client’s application’s branding. It deploys directly into the client’s own AWS, Azure, or GCP cloud environment, ensuring data remains within their infrastructure and addressing critical security and compliance requirements.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Embedded Analytics and Data Visualization
- Multi-Tenant Data Lake Architecture
- No-Code Workflow Automation
- AI-Driven Insights and Machine Learning
- Real-Time Data Processing
- Self-Service Analytics and Reporting
- Comprehensive APIs and Data Connectors
- White-Labeling and Customization
- Role-Based Access Controls and Data Governance
- Cloud-Native Deployment (AWS, Azure, GCP)
Use Cases
- Embedding analytics into healthcare SaaS products
- Real-time patient monitoring dashboards
- Clinical decision support tools
- Operational efficiency metrics for healthcare organizations
- Payer analytics for increased payment rates
- Analyzing population health trends
Details
| Category | Practice Analytics & BI |
| Pricing |
Custom pricing
|
| Deployment | Cloud-native (AWS, Azure, GCP) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Unknown AI-estimated Qrvey does not claim FDA clearance. It focuses on HIPAA compliance and secure data handling for healthcare analytics. |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Hospital Medicine, Internal Medicine |
What the Web Says
Qrvey is an embedded analytics platform that helps SaaS companies and healthcare organizations integrate data collection, transformation, visualization, and automation into their applications. It is particularly praised for its no-code approach, multi-tenant architecture, and AWS-native performance, which simplifies the delivery of customer-facing analytics. While users appreciate its ease of use and powerful data visualization, some find the setup for advanced functionality complex and pricing non-transparent.
Overall: PositiveStrengths
- Embedded-first approach and multi-tenant architecture, ideal for SaaS businesses and healthcare organizations.
- No-code automation and user-friendly interface for creating dashboards and reports.
- Combines data collection, transformation, automation, and analytics in one platform, reducing the need for multiple tools.
- Efficient for faster decision-making through comprehensive data analysis from various sources.
- AWS-native performance and serverless technology for scalability and efficiency.
- Strong customer support.
Limitations
- Complex setup for advanced functionality and customization.
- Non-transparent and potentially expensive pricing, especially for large datasets.
- Steep learning curve for some features and initial complex usage.
- Limited advanced customization options for the look and feel of embedded dashboards.
- Occasional performance issues when handling complex queries or large datasets.
- Lacks the same level of community engagement and extensive ecosystem as more established BI tools like Tableau.
Based on reviews from: G2, SelectHub, Upsolve AI, Research.com, Capterra, Reddit, Slashdot
Last updated: 2026-08-24
Ratings & Reviews
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Press & Coverage
ACCESS Newswire
Qrvey 9.1 Accelerates Embedded Analytics With Agentic AI and a Faster Path to Deployment
Qrvey released version 9.1, enhancing its embedded analytics platform with expanded AI capabilities, new packaging tiers (Qrvey Pro and Qrvey Ultra), and strengthened cloud-native connectivity for modern data architectures. This update aims to accelerate deployments and set a new standard for analytics delivery within software products.
2025-07
Big News Network.com
Qrvey Launches Version 9: A Transformational Leap In Embedded Analytics For Saas Companies
Qrvey announced the release of Qrvey 9, a significant update to its embedded analytics platform for SaaS companies. Key features include a fully containerized Kubernetes architecture, multi-cloud deployment support (including Microsoft Azure), and a unified dashboard experience, offering enhanced flexibility and scalability.
2025-05
Newswire
Qrvey 9.4 Introduces AI Agents for Embedded Analytics in SaaS Products
Qrvey 9.4 introduces Qrvey Sidekick and structured AI agents to its embedded analytics platform, combining in-app interaction, governed context, and task-specific agents for SaaS products. This release further solidifies Qrvey's position as an AI-native embedded analytics leader.
2026-06
Qrvey Blog
Healthcare Analytics in 2026: Key Benefits, Types, & Tools
This article discusses the challenges and opportunities in healthcare SaaS analytics, highlighting Qrvey's role in providing powerful, compliant data analysis capabilities. It emphasizes Qrvey's ability to handle complex healthcare data, ensure HIPAA compliance, and integrate with various data sources, including FHIR-formatted patient records.
2026-03
Qrvey Blog
7+ Best Healthcare Analytics Software: Features, Pricing & More
This guide compares top healthcare analytics solutions, positioning Qrvey as ideal for embedded healthcare analytics and multi-tenant architecture. It highlights Qrvey's no-code automation, multi-tenant capabilities, and white-label solutions for seamless integration and HIPAA compliance.
2026-03
Upsolve AI
Qrvey Review: Is It Right for Embedded Analytics?
This in-depth review of Qrvey covers its features, pros, and cons for embedded analytics in SaaS products. It praises Qrvey's multi-tenant architecture, AI-driven analytics, and automation, while noting potential complexities in setup and non-transparent pricing.
2025-11
Qrvey.com
AI-Powered Analytics for SaaS Companies
This page details Qrvey's AI-powered analytics capabilities for SaaS companies, emphasizing its multi-tenant architecture, tenant-aware AI permissions, and embedded deployment. It showcases how Qrvey helps deliver AI experiences that answer questions, generate insights, and automate workflows securely.
2026-08
Newswire
Qrvey Recognized as Technology Innovation Leader in Embedded BI by Dresner Advisory Services
Qrvey was recognized as a Technology Innovation Leader in Embedded BI by Dresner Advisory Services, underscoring its leadership in AI-native embedded analytics.
2026-02
Frequently Asked Questions
Qrvey can integrate various data sources from your practice, including EHRs, billing systems, and patient engagement platforms, to provide a holistic view of patient demographics, treatment efficacy, and population health trends. This allows for deeper insights into patient outcomes and helps identify areas for improvement in care delivery.
Qrvey is designed with robust security and compliance features, including data encryption, access controls, and audit trails, to help practices adhere to HIPAA and other relevant healthcare data privacy regulations. It provides tools for data anonymization and role-based access to protect sensitive patient information.
While there are other business intelligence tools available, Qrvey differentiates itself with its embedded analytics capabilities and a focus on empowering end-users to build their own dashboards and reports without extensive IT involvement. When evaluating alternatives, consider factors like ease of integration with existing healthcare systems, specific healthcare analytics features, and scalability for your practice's needs.
Qrvey's pricing typically depends on factors such as the number of users, data volume, and specific features required. They often offer tiered pricing models or custom quotes to accommodate practices of different sizes and analytical needs. It's best to contact Qrvey directly for a detailed quote tailored to your practice.
While Qrvey aims for user-friendliness, some initial technical understanding may be beneficial for complex data integrations or custom dashboard development. Potential limitations could include the need for clean and standardized data inputs to maximize its effectiveness, and the initial setup might require some IT support.
Yes, Qrvey can be configured to track various metrics related to physician performance, such as patient visit times, referral patterns, prescribing habits, and adherence to clinical guidelines. This data can help identify areas for efficiency improvements, professional development, and ultimately enhance patient care.
Qrvey is designed for flexible integration with various data sources, including most EHR systems and practice management software, through APIs and other connectors. The ease of integration can depend on the specific EHR system and the availability of its APIs, but Qrvey aims to streamline this process.
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| Last Verified: 2026-08-23 | First Added: 2026-08-23