Skip to main content

Perfecto Mobile Previews LocalLink

Perfecto Mobile is previewing LocalLink, a new extension to its Continuous Quality Lab that addresses location-based quality needs and testing of Internet of Things (IoT), at Mobile World Congress.

LocalLink expands tests coverage and capabilities, mitigates risks that businesses face in releasing faulty apps, and improves the velocity of the app delivery process to accelerate overall time to market.

Perfecto Mobile's LocalLink connects devices in-hand, to the cloud-based Continuous Quality Lab, allowing organizations to test their apps anywhere they choose while centrally managing all devices, hosted and local, in one integrated environment. LocalLink gives teams the flexibility to add devices to their existing cloud as needed, while still experiencing the benefits of the Continuous Quality Lab.

In addition, LocalLink allows for testing IoT, which often require proximity to the device during operation (due to connecting via Bluetooth or WiFi).

“We are experiencing a revolution in the way companies create engagement through digital experiences for their customers. The need for flexibility in quality labs is critical to ensuring a flawless customer experience with any IoT device or location-based app,” said Roi Carmel, SVP of Product and Strategy. “We’re excited to be the first to introduce a truly flexible hybrid cloud test lab that addresses location-based use cases and IoT. We are evolving with the mobile device market in order to attain the best test coverage, mitigate risk for our customers, and help accelerate the software development lifecycle to meet time-to-market demands.”

In order to manage risks associated with poor app quality, it is important for enterprises to select a testing lab and platform that supports a continuous quality process and can be highly customized to address needs across a variety of use cases. LocalLink can be customized for:

· Location-based Testing – In some cases there is a need to have a device at a specific location or in close proximity to the tester to ensure accuracy. This can be a critical requirement as mobile apps can be impacted by network conditions that can only be found on location (stores, banking branches, stadiums, etc.). With LocalLink, users can easily add devices, from any location in the world, to the Continuous Quality Lab and run a fully managed and centralized quality process that is remotely accessed and includes all devices across multiple sites.

· IoT and Unique Integrations – As the connected enterprise becomes more complex, so does the world of testing. The mobile landscape continues to evolve and grow to include interactions with unique or proprietary devices, such as refrigerators, scales, thermometers, wearables, etc. but the overall testing process still needs to be managed holistically and as part of the continuous quality process users have come to expect. LocalLink makes this possible by allowing connectivity between the app and the IoT device to be conducted via Bluetooth or local WiFi.

LocalLink will be made generally available next month.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Perfecto Mobile Previews LocalLink

Perfecto Mobile is previewing LocalLink, a new extension to its Continuous Quality Lab that addresses location-based quality needs and testing of Internet of Things (IoT), at Mobile World Congress.

LocalLink expands tests coverage and capabilities, mitigates risks that businesses face in releasing faulty apps, and improves the velocity of the app delivery process to accelerate overall time to market.

Perfecto Mobile's LocalLink connects devices in-hand, to the cloud-based Continuous Quality Lab, allowing organizations to test their apps anywhere they choose while centrally managing all devices, hosted and local, in one integrated environment. LocalLink gives teams the flexibility to add devices to their existing cloud as needed, while still experiencing the benefits of the Continuous Quality Lab.

In addition, LocalLink allows for testing IoT, which often require proximity to the device during operation (due to connecting via Bluetooth or WiFi).

“We are experiencing a revolution in the way companies create engagement through digital experiences for their customers. The need for flexibility in quality labs is critical to ensuring a flawless customer experience with any IoT device or location-based app,” said Roi Carmel, SVP of Product and Strategy. “We’re excited to be the first to introduce a truly flexible hybrid cloud test lab that addresses location-based use cases and IoT. We are evolving with the mobile device market in order to attain the best test coverage, mitigate risk for our customers, and help accelerate the software development lifecycle to meet time-to-market demands.”

In order to manage risks associated with poor app quality, it is important for enterprises to select a testing lab and platform that supports a continuous quality process and can be highly customized to address needs across a variety of use cases. LocalLink can be customized for:

· Location-based Testing – In some cases there is a need to have a device at a specific location or in close proximity to the tester to ensure accuracy. This can be a critical requirement as mobile apps can be impacted by network conditions that can only be found on location (stores, banking branches, stadiums, etc.). With LocalLink, users can easily add devices, from any location in the world, to the Continuous Quality Lab and run a fully managed and centralized quality process that is remotely accessed and includes all devices across multiple sites.

· IoT and Unique Integrations – As the connected enterprise becomes more complex, so does the world of testing. The mobile landscape continues to evolve and grow to include interactions with unique or proprietary devices, such as refrigerators, scales, thermometers, wearables, etc. but the overall testing process still needs to be managed holistically and as part of the continuous quality process users have come to expect. LocalLink makes this possible by allowing connectivity between the app and the IoT device to be conducted via Bluetooth or local WiFi.

LocalLink will be made generally available next month.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.