Testlio unveils LeoInsights to turn QA data into strategy

Testlio has launched LeoInsights, an AI analytics product aimed at turning software testing data into information that engineering leaders can use in executive discussions about risk, delivery pace and investment.

The company said the product draws on Testlio's historical data and activity on its testing platform. Testlio said its LeoAI Engine has trained on more than 13 years of testing data and 2.6+ million test cases. The company also cited access to 600,000+ devices.

Executive reporting

Testlio positioned LeoInsights as a response to a common problem in large software organisations. QA teams often collect detailed operational metrics. Executives often ask for signals on business risk, readiness to release, and whether extra testing spend makes a measurable difference.

Testlio said QA leaders still rely on manual processes to compile reports for senior stakeholders. It said quality data often sits across multiple dashboards and tools, and teams struggle to establish benchmarks across products and releases.

LeoInsights aims to unify testing data from within the Testlio platform. Testlio said the product delivers AI-generated recommendations on quality, risk and investment. The company said the system analyses more than 100 signals across reports within seconds.

Testlio claimed LeoInsights can reduce the time spent preparing executive reports by up to 90%. It also said early adopters reported saving 2-4 hours per day on manual analysis of app reviews.

Four modules

Testlio described LeoInsights as a suite made up of four integrated elements.

The first, Executive Summaries, provides an on-demand view of changes, risks and critical issues. Testlio said the feature converts multiple reports into executive-ready overviews.

The second, Outlier Insights, issues automated alerts about unusual trends and anomalies. Testlio said teams can use these alerts to spot risks or opportunities that would otherwise go unnoticed.

The third, App Review Analysis, focuses on user feedback. Testlio said it analyses app reviews and sentiment trends. The company said this can surface user-reported bugs and customer experience risks.

The fourth, Value Calculator, quantifies efficiency gains, cost savings and quality impact, according to Testlio. The company said it aggregates data across workspaces and supports scenario modelling with adjustable inputs. It also said it generates downloadable PDFs for budgeting and investment discussions.

Early customer

Rush Street Interactive has used the product in its QA approach, according to Testlio.

"We're excited to introduce LeoInsights into our QA strategy to help us optimize for release velocity. We've already accelerated our release cycles by 30% because we can now instantly identify which test cases are delivering the most value and where risks are emerging, allowing us to make informed decisions in real-time rather than waiting weeks to piece together performance data from disconnected sources," said Risko Ruus, Principal QA Manager, Rush Street Interactive.

Board-level focus

Testlio said it sees software quality shifting into executive decision-making as engineering organisations scale and delivery expectations increase.

"Quality teams have historically drowned in data while starving for business insights," said Summer Weisberg, COO and Interim CEO, Testlio. "LeoInsights changes that. With the depth of our data and the power of AI, we are transforming software quality from a technical metric into a strategic asset that drives executive decision-making."

Testlio said LeoInsights is available now. The company said it plans expanded benchmarking and predictive analytics in future releases.