Scriptly Helps Pharmacies Identify Trends in Real Time with Reveal
Embedded Analytics for SaaS Products
Embed dashboards and AI-powered insights directly into your product with full control over experience, data, and deployment.
Deliver analytics that feel native, scale across tenants, and run inside your architecture, not outside it.
Built for SaaS Products, Not Internal BI Tools
Your users don't want another analytics tool. They want answers inside the product they already use.
With Reveal
Your users expect to
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Explore data without leaving the application
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Interact with insights in real time
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Make decisions inside their workflow
The Old Way
Traditional BI tools
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Live outside your product
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Break the user experience
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Require workarounds to integrate
Embedded analytics for SaaS lets you deliver insights as a native part of your product, so users stay in context and act on data where work happens.
Why SaaS Teams Build on Reveal
One embedded analytics layer for SaaS products — running inside your application, on your architecture, your UI, your data model, your deployment.
Built for Your Product, Not Adapted from BI
Reveal integrates directly into your application through SDKs and APIs. Analytics behaves like a native part of your product — not a separate tool users leave your app to reach.
Full Control Over the Experience
Own the look, behavior, and flow of every dashboard. Control layout, interactions, and workflows so analytics feels like something you built, not something you bolted on.
Multi-Tenant by Design
Enforce tenant isolation, permissions, and access control across your entire user base — without duplicating logic or infrastructure. Every customer sees only their data, from day one.
Performance That Holds at Scale
Dashboards, queries, and exploration stay fast as data volume and usage grow. Reveal handles caching, query optimization, and real-time responsiveness so performance doesn't degrade as you do.
AI That Works Inside Your System, Not Outside It
Reveal AI operates on your data model, permissions, and infrastructure. Users query and build dashboards in natural language while every interaction stays governed and secure — with no external data movement.
Deployment That Matches Your Architecture
Run analytics where your product runs. Reveal supports cloud, hybrid, and on-prem deployment, with no forced data movement and no separate infrastructure to manage.
Bring AI-Powered Analytics Into Your Product Workflows
Enable users to ask questions, generate dashboards, and explore insights using natural language directly inside your application.
Reveal AI extends your embedded analytics layer with:
- Natural language queries: Users ask questions and get answers instantly without writing queries or building reports
- AI-generated dashboards: Automatically create visualizations and reports based on user intent
- Iterative exploration: Users refine insights through follow-up questions and deeper analysis
Unlike standalone AI tools, Reveal AI operates inside your product environment:
- Runs within your data model and tenant structure
- Respects user roles, permissions, and data access
- Keeps all processing within your controlled infrastructure
No external data movement. No black-box analytics.
AI becomes part of your product experience, not a separate system your users have to trust.
Explore Reveal AI →
How SaaS Teams Turn Analytics into a Core Product Experience
The Challenge
Atanasoft customers worked with data across multiple systems. Accessing insights required switching tools, querying data manually, and interpreting disconnected datasets.
The Solution
Atanasoft embedded Reveal directly into its platform, integrating dashboards into existing modules and unifying data into a single experience.
The Result
Users now access insights in context, make faster decisions, and interact with data without leaving the application.
Read Customer story →
“This is the magic. On the fly, we transform data from disparate data sources into visual displays that the brain can understand and act on.”
Jim Richardson
President of Atanasoft
Dashboard Experience Built for SaaS Users
Reveal dashboards provide real-time visibility into product and business performance. Real-time analytics supports faster decision-making, better resource use, and continuous improvement without leaving the application.
Trusted by Teams Building SaaS Products
Amazing tool for customer-facing analytics for non-tech users. We recently integrated Reveal to give our customers the ability to…
Mario M.
Reveal allowed us to scale our product with stable performance and fixed pricing. We managed to 5.5x our business with their…
Raul C.
AI-powered analytics like no other. The conversational AI analytics is definitely the highlight of Reveal. It's the feature that skyrocketed…
Grant M.
Beautiful data that grabs attention. The premium feel of the dashboards skyrocketed our analytics use. Our users spend 435%…
Claudio B.
Without a doubt the best support I've ever communicated with. They respond pretty much immediately. We had a deployment…
Gonzalo V.
Frequently Asked Questions
Embedded analytics for SaaS is the integration of data analysis and visualization directly into your application, allowing users to access insights without leaving the product. Learn more about embedded analytics.
It helps SaaS teams track product usage, monitor key metrics like churn and MRR, and identify trends that improve user experience and decision-making. Instead of switching tools or waiting for reports, users explore data and act on insights in real time, right within their workflow.
It helps SaaS teams track product usage, monitor key metrics like churn and MRR, and identify trends that improve user experience and decision-making. Instead of switching tools or waiting for reports, users explore data and act on insights in real time, right within their workflow.
Traditional BI tools operate as separate platforms where users access reports outside the application. Embedded analytics is built directly into your product, allowing users to explore data and act on insights within their workflow.
This removes the need to switch tools, improves adoption, and makes analytics part of the product experience rather than a separate reporting layer.
This removes the need to switch tools, improves adoption, and makes analytics part of the product experience rather than a separate reporting layer.
Users expect answers, not just features. They want to track performance, monitor key metrics, and make decisions without leaving your product.
Built-in analytics turns your SaaS application into a system users rely on daily. It improves customer experience while driving measurable product impact. It helps teams deliver insights in context, increase engagement, differentiate with built-in data capabilities, enable self-service for non-technical users, and create new monetization opportunities through data.
To support this at scale, SaaS teams also need multi-tenant data handling, access control, and consistent performance across users.
Built-in analytics turns your SaaS application into a system users rely on daily. It improves customer experience while driving measurable product impact. It helps teams deliver insights in context, increase engagement, differentiate with built-in data capabilities, enable self-service for non-technical users, and create new monetization opportunities through data.
To support this at scale, SaaS teams also need multi-tenant data handling, access control, and consistent performance across users.
Embedded analytics delivers insights directly within the product, where users already work. It connects to multiple data sources to provide real-time visibility and support everyday decisions.
Common use cases include customer-facing dashboards, product differentiation, data monetization, and operational visibility — all without forcing users to switch tools.
Common use cases include customer-facing dashboards, product differentiation, data monetization, and operational visibility — all without forcing users to switch tools.
Embedded analytics is a system that connects data, processing, and user experience inside your product. At a high level, it includes a data layer (connects to databases, APIs, and cloud systems with multi-tenant access), an analytics layer (queries, aggregations, and transformations in real time), an embedding layer (SDKs and APIs that integrate analytics into your application), a UI layer (dashboards that match your product design), and a security layer (permissions, roles, and tenant isolation).
When these layers work together, analytics becomes part of your product, not a separate tool.
When these layers work together, analytics becomes part of your product, not a separate tool.
Building analytics in-house often starts as a control decision, but it quickly becomes a resource and scalability challenge. Teams face high development cost and long build times, ongoing maintenance and performance tuning, delays in product delivery, difficulty matching product UI and user experience, supporting multi-tenant data and permissions, and scaling infrastructure as usage grows.
Many teams also struggle to deliver advanced capabilities without significant effort. This is where platforms with built-in embedded analytics offer a faster, more scalable alternative.
Many teams also struggle to deliver advanced capabilities without significant effort. This is where platforms with built-in embedded analytics offer a faster, more scalable alternative.
Not all platforms are built for SaaS. Many BI tools are adapted and rely on iFrames, limiting control, performance, and user experience. Look for SDK and API integration, white-label customization, built-in AI-powered insights, flexible data connectivity, security and multi-tenancy, and deployment flexibility like on-prem analytics or cloud.
You can explore the full set of embedded analytics features to evaluate how a platform supports these requirements.
You can explore the full set of embedded analytics features to evaluate how a platform supports these requirements.
Many analytics tools claim to support embedding, but limitations appear quickly in real SaaS environments: limited customization beyond basic theming, iFrame-based approaches that isolate analytics from your application, inconsistent user experience across the product, performance issues as data and usage grow, and difficulty supporting multi-tenant architecture at scale.
These problems often surface after implementation, when analytics becomes part of the product. Teams then realize they need more than dashboards. They need an analytics layer built for SaaS, like Reveal.
These problems often surface after implementation, when analytics becomes part of the product. Teams then realize they need more than dashboards. They need an analytics layer built for SaaS, like Reveal.
Embed Analytics Without Changing Your Architecture
Integrate analytics into your SaaS product with SDKs, full UI control, and support for multi-tenant environments.
