Overview
Panintelligence is an embedded analytics, reporting and predictive analytics platform used by 1.6M+ active users across 100+ software partners to turn operational and customer data into governed, self-service insight. Customers have cut reporting time by 90%, gone live in 4-8 weeks, and scaled embedded analytics to 200+ tenants inside a single instance.
Built for two use cases, one governed platform
Some teams use Panintelligence as a standalone portal their own people log into. Others embed it inside their product for their customers. Both run on the same governed foundation: same data definitions, same permissions, same security model.
Operational Intelligence: a direct-access analytics portal for finance, operations, compliance and leadership. Denmaur cut finance report preparation from 40 hours a month to under 4 (a 90% reduction) and grew active users from 5 to 40+ after rollout. BermudAir's operational teams now work from a single governed view, with zero manual reporting cycles remaining.
Customer-Facing Products: embedded analytics for SaaS vendors and software providers, carrying your brand and your data with no separate login. Carerix embedded Panintelligence across 200+ tenants with zero deal losses attributed to analytics gaps; Sport:80 avoided roughly two years of internal build time it would otherwise have spent building this itself.
Fully managed on AWS
PiSaaS is our managed hosting option, built and run on AWS. We provision, patch, upgrade and scale the platform on your behalf, on a published cadence of 11 releases a year, so your team never carries the operational overhead of running an analytics platform. Your instance runs on named AWS infrastructure: Amazon ECS with Fargate, Amazon RDS Aurora MySQL, Amazon EFS, an Application Load Balancer inside its own VPC, Amazon S3, Route 53 with Certificate Manager, IAM with Secrets Manager, and CloudWatch for monitoring and autoscaling, in the AWS region of your choice (eu-west-1 or us-east-1, others by agreement). PiSaaS carries the same base licence price as self-hosting: the choice is about who runs the infrastructure, not what you pay.
What's included
PiDashboard: interactive, governed dashboards. Standalone portal or embedded via iframe, with white-label theming and full multi-tenant isolation included on every plan.
PiReport (optional): scheduled and event-triggered reporting, distributed by email or webhook, built on the same governed data model as your dashboards.
PiPredict (optional): predictive analytics and AI-generated insight, including forecasting, driver analysis and natural language query, using your own LLM (BYOLLM) so data never leaves your environment.
Why not build it yourself, or retrofit an enterprise BI tool
Building embedded analytics in-house typically takes 6-18 months before a first release, then ongoing maintenance indefinitely. Panintelligence customers are live in 4-8 weeks. Retrofitting a large BI platform for embedding usually means multi-tenancy and white-labelling sit behind a higher tier or a separate integration project; here, native multi-tenant isolation and white-label theming are included on every plan, standalone or embedded. And unlike vendors who require a sales engagement before you learn what anything costs, our banded pricing is published before you ever book a demo.
Connects where your data already lives
Panintelligence queries your data in place. It does not extract or duplicate it into a separate warehouse. Connects directly to warehouses and databases including Snowflake, Databricks, BigQuery, PostgreSQL, SQL Server and Amazon RDS.
Governance and support
Row-level security, role-based access control, SSO/MFA and federated identity, and a full audit trail, regardless of deployment. Every subscription includes a 14-day proof of concept on your own data (first dashboard live on day one), a named Customer Success Manager from day one of contract, and a 90-day structured onboarding programme, at no extra cost.
Pricing for AWS Marketplace purchases is agreed through a Private Offer once deployment model, modules and scale are confirmed, and bills through your existing AWS account.
Highlights
- Fully managed on AWS: we provision, patch and scale your instance across 11 releases a year, so your team runs analytics, not infrastructure.
- Standalone for internal teams (Denmaur: 90% less reporting time) or embedded in your product for customers (Carerix: 200+ tenants, zero deal losses to analytics gaps): one governed platform, either way.
- Native multi-tenancy and white-label theming included on every plan, not gated behind an enterprise tier. Live in 4-8 weeks instead of the 6-18 months of building it yourself.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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We do not currently support refunds, but you can cancel at any time.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
2026 September dashboard release ,please contact https://www.panintelligence.com/contact/ , https://panintelligence.atlassian.net/wiki/spaces/PD/pages/1257373697/Product+Releases , https://panintelligence.atlassian.net/wiki/spaces/PD/pages/34374123/Environment+Variables , https://panintelligence.atlassian.net/wiki/spaces/PD/pages/1119485957/AWS+AMI+products
Additional details
Usage instructions
For Full Usage instructions, please visit: https://panintelligence.atlassian.net/wiki/spaces/PD/pages/229736513/AWS+Deployment Please view our documentation visiting the link below: https://panintelligence.com/resources/pi-academy/ Please visit: https://www.panintelligence.com/contact/ if you have any further queries.
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