AI-driven actionable insights into your product quality

Profilence Analytics Suite uncovers the root causes of hidden, long-term defects that compromise software quality—whether in performance, stability, functionality, or power efficiency. It brings together data from every stage of development and deployment: automated analysis runs in the cloud, prototype hardware in R&D labs, and real-world devices in the field. This unified data is processed by our AI-powered analytics engine, delivering deep insights and actionable results. You can run the solution in the secure Profilence cloud or deploy it seamlessly within your own private network.

Profilence analytics dashboard showing software quality trend data

360° actionable insights into your product quality

Profilence products support every stage of your development journey. You can start analyzing software quality in virtual environments even before hardware exists, gaining early insights to guide design decisions. As test benches and prototypes become available, they can be added to the workflow for deeper validation. Finally, when fleet trials roll out, the same platform scales effortlessly to include data collected from vehicles in the field—ensuring end-to-end visibility into software quality.

Developers love it because of the detailed information it provides on issues, eliminating the need to manually reproducing defects.

Management stays up-to-date with the latest insights into product quality: what’s the overall quality like, what the most pressing issues, and how would they impact end-users.

Accelerating quality before prototypes exist

Validation no longer has to wait for hardware. With Profilence Analytics Suite, early-phase stability analysis begins immediately in cloud-hosted virtual environments, giving your teams a head start before physical prototypes are available.

Running tests virtually makes the process fast, scalable, and repeatable, allowing you to validate large volumes of builds in parallel. This stage uncovers typical software-level issues such as memory leaks, application crashes, and regressions: problems that can otherwise remain hidden until late in the cycle.

By catching these defects early, you reduce costly delays, shorten feedback loops, and free up hardware resources for higher-value integration testing once prototypes arrive.

From cloud to lab: analysis on hardware

When prototype hardware becomes available, Profilence Analytics Suite seamlessly extends from the cloud to real devices in your R&D labs. By connecting your product with a device running our software, you can detect complex issues that virtual environments often miss, such as hardware–software interaction faults, driver instabilities, thermal behavior anomalies, or power management defects. This enables large-scale, detailed data collection across performance, stability, functionality, and energy efficiency.

The platform is built for global engineering organizations: whether your labs are centralized or spread across continents, every site can feed data into the same unified analytics pipeline. All results are automatically processed in our AI-driven backend running in the Profilence cloud or securely inside your private network—delivering consistent, comparable insights company-wide.

And because no modifications are required to your devices, you begin receiving actionable quality analysis results immediately.

Complement lab results with data from the field

Some corner cases simply cannot be reproduced in lab or virtual environments. That’s why Profilence offers a lightweight telemetry solution to complement analytics runs with real-world data. It collects quality metrics from devices in active fleet trials—or even from units already in the hands of end-users—without disrupting the user experience.

Field data provides an invaluable safety net, but it also validates earlier analysis phases. Issues discovered in real-world conditions show a strong correlation with those identified in cloud-based and laboratory runs. For this reason, prioritizing long-term analysis before fleet trials begin remains the most effective strategy for ensuring software quality.

AI-powered actionable insights

At the core of Profilence Analytics Suite is the AI-powered analytics backend—the brain of the platform. It consolidates data from virtual runs, global R&D labs, and field devices into a single pipeline. The system applies advanced analytics and automated root-cause detection, then presents the findings in intuitive dashboards that highlight quality levels, emerging trends, critical issues, and their impact on the end-user experience.

This backend becomes your single source of truth. Instead of scattered data silos, product managers, engineers, and company executives all access the same real-time insights in one central location. Information flows seamlessly across the organization, enabling faster issue detection, quicker verification, and more confident decision-making throughout the development lifecycle.

The Analytics Suite focuses on:

Stability

Stability analysis discovers hidden issues that break the system in long-term use: issues, which go unnoticed in typical regression testing, such as memory and other resource leaks.

Performance

Performance analysis reveals bottlenecks for responsive and smooth UI experience, detects resource hungry processes and functions, and faults in UI code.

Energy consumption

Estimates expected energy consumption per user profile. The analysis detects energy consumption at the use case level for system/OS and individual apps and the reasons behind high consumption.

Func­tion­al­i­ty

Detailed information of functionality on each test iteration: break-down of test cases and causes of failures. Video, screen captures and view details available for each test step in a test case.

It helps:

Product managers

to get the big picture: where are we heading? All data from multiple R&D sites and the field consolidated on a single dashboard.

Engineering teams

to fix and verify issues fast by providing them with all the data they need in real-time, and making collaboration between teams smoother.

QA teams

to stay on top of things; internal QA findings are verified, and nothing goes unnoticed.

When solving problems for our customers, we address the root cause and not the symptoms. Profilence Analytics Suite is the solution of choice by our Android specialists because it is scalable and robust on testing and very unique in analytics.
Miikka Kirveskoski - CTO, NE Device SW

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