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Crittercism Changes Name to Apteligent

Crittercism is changing its name to Apteligent.

Apteligent is focused on delivering critical data and insights across multiple dimensions of the app lifecycle for enterprises of all sizes.

In addition to offering crash and latency reporting, Apteligent’s mobile app intelligence service delivers actionable insights based on real-time operational metrics, the mobile ecosystem (carrier latency, cloud services, etc.), and their impact on user behavior. Using Apteligent, organizations can proactively resolve mobile issues before they adversely effect app reputation, user adoption and ongoing engagement.

Apteligent takes end-user privacy very seriously, with data centers in both the US and EU. Further, user data is never used or sold for advertising purposes.

“We’re reaffirming our commitment to developers and companies running business-critical apps with a platform that not only provides operational information but its impact on end-user behavior and the mobile ecosystem as a whole,” said Dave Robbins, CEO of Apteligent. “This is our next evolution as a company – starting from best in class app development reporting to generating a wealth of proprietary, real-time data that impacts decisions across the entire mobile ecosystem. Apteligent delivers actionable mobile app intelligence for Enterprises of all sizes.”

Designed for the Fortune 5,000,000, Apteligent’s mobile app intelligence is now available in three editions:

- Basic – free version with guaranteed user data privacy. With data centers in both the US and EU, user data is never used or sold for advertising purposes. Apteligent Basic customers can be assured their end user’s data is being handled under stringent EU privacy guidelines.

- JumpStart – provides a great foundation for organizations to begin using real-time data to enhance their app’s stability, performance, and overall user experience as well as featuring convenient credit-card payments and monthly subscriptions.

- Enterprise –provides a full set of tools, integration APIs, and real-time dashboards that help quantify an app’s overall performance in the wild. In addition Enterprise also provides a new industry benchmarks feature that highlights an app’s overall responsiveness versus competitive apps within the same app store category.

A new component for the Enterprise edition includes a new connector for Adobe Marketing Cloud. With the Adobe connector, critical mobile data can now be fed directly into Adobe Marketing Cloud for deeper analysis on mobile consumer behavior.

Apteligent is also launching its new data site featuring mobile ecosystem metrics and benchmarks. Key reporting areas include mobile device adoption by region, mobile OS usage, mobile carrier performance, and much more. The data source of record for several leading mobile analyst firms, Apteligent data has been featured in reports on the state of the mobile industry from Bloomberg, Business Insider, and CNN among others.

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.

Crittercism Changes Name to Apteligent

Crittercism is changing its name to Apteligent.

Apteligent is focused on delivering critical data and insights across multiple dimensions of the app lifecycle for enterprises of all sizes.

In addition to offering crash and latency reporting, Apteligent’s mobile app intelligence service delivers actionable insights based on real-time operational metrics, the mobile ecosystem (carrier latency, cloud services, etc.), and their impact on user behavior. Using Apteligent, organizations can proactively resolve mobile issues before they adversely effect app reputation, user adoption and ongoing engagement.

Apteligent takes end-user privacy very seriously, with data centers in both the US and EU. Further, user data is never used or sold for advertising purposes.

“We’re reaffirming our commitment to developers and companies running business-critical apps with a platform that not only provides operational information but its impact on end-user behavior and the mobile ecosystem as a whole,” said Dave Robbins, CEO of Apteligent. “This is our next evolution as a company – starting from best in class app development reporting to generating a wealth of proprietary, real-time data that impacts decisions across the entire mobile ecosystem. Apteligent delivers actionable mobile app intelligence for Enterprises of all sizes.”

Designed for the Fortune 5,000,000, Apteligent’s mobile app intelligence is now available in three editions:

- Basic – free version with guaranteed user data privacy. With data centers in both the US and EU, user data is never used or sold for advertising purposes. Apteligent Basic customers can be assured their end user’s data is being handled under stringent EU privacy guidelines.

- JumpStart – provides a great foundation for organizations to begin using real-time data to enhance their app’s stability, performance, and overall user experience as well as featuring convenient credit-card payments and monthly subscriptions.

- Enterprise –provides a full set of tools, integration APIs, and real-time dashboards that help quantify an app’s overall performance in the wild. In addition Enterprise also provides a new industry benchmarks feature that highlights an app’s overall responsiveness versus competitive apps within the same app store category.

A new component for the Enterprise edition includes a new connector for Adobe Marketing Cloud. With the Adobe connector, critical mobile data can now be fed directly into Adobe Marketing Cloud for deeper analysis on mobile consumer behavior.

Apteligent is also launching its new data site featuring mobile ecosystem metrics and benchmarks. Key reporting areas include mobile device adoption by region, mobile OS usage, mobile carrier performance, and much more. The data source of record for several leading mobile analyst firms, Apteligent data has been featured in reports on the state of the mobile industry from Bloomberg, Business Insider, and CNN among others.

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.