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Apica Acquires LOGIQ.AI

Apica announced its agreement to acquire observability data fabric startup LOGIQ.AI.

Apica also announced it has raised $10M in funding from existing investors Industrifonden, SEB Foundation, and Oxx. With the acquisition and the new financing, Apica plans to continue delivering affordable and flexible observability innovations and develop new capabilities in the coming months for enterprise customers.

With the acquisition of LOGIQ.AI and the funding, Apica will deliver active observability, automated root cause analysis, and advanced data management to bridge real-world gaps in analysis.

“We are determined to address the need for low-cost infinite storage and observability to support businesses with relevant, actionable data,” said Mathias Thomsen, CEO, Apica. “With the acquisition of LOGIQ.AI and the additional funding, we will deliver ‘Active Observability’ that combines observability and synthetic monitoring into a proactive platform to plug data gaps and put business data in context.”

“What makes Apica’s new offering unique is the merger of an observability data fabric with synthetic monitoring. In a world where ‘downtime is death’, solving monitoring and observability in a streamlined and cost-efficient way is crucial for businesses,” said Mikael Johnsson, General Partner and co-founder, Oxx. “This novel approach of ‘active observability’ has also been extremely challenging for enterprises with complex data structures or in highly regulated sectors to deploy successfully. With this move, Apica is able to provide companies with an end-to-end observability solution, enabling a broader range of companies to incorporate observability successfully into their operations. Apica is setting a new standard for ‘active observability’, and at Oxx we are excited to see where the Apica team takes this next.”

“Joining Apica with LOGIQ’s data fabric platform creates an innovative and intelligent approach to data management,” said Ranjan Parthasarathy, CEO of LOGIQ. “Together, we are empowering businesses to thrive where data-driven insights meet flawless performance, shaping the future of our customers’ digital success.”

The Apica Ascent platform with LOGIQ.AI gives users complete data pipeline control, a unified view of all information, and infinite high-quality storage at the lowest cost on the market. The platform acts as a superior indexing tool that aggregates data such as logs, traces, network packets, etc. from multiple sources and improves data quality by trimming off excess data and performing enrichments. The data can be shifted from the platform to a lake environment – either Apica’s or another data lake. The result is a unified view of all data for faster root cause analysis while slashing costs and eliminating vendor lock.

“We are offering active observability on your terms,” said Jason Haworth, CPO, Apica. “We can give you observability at a low cost that scales to exabytes and gives you your data in context when and how you need it. We’re also stacking all this functionality into our data lakes and indexers while embracing open standards such as OpenTelemetry. This allows us to be application, device, service, and vendor agnostic. Having these pieces in place lets us be that decoder ring that other vendors in the space just can’t do.”

The LOGIQ.AI capabilities will be added to the Apica Ascent platform and deployed to current customers in Q3 of this year.

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Apica Acquires LOGIQ.AI

Apica announced its agreement to acquire observability data fabric startup LOGIQ.AI.

Apica also announced it has raised $10M in funding from existing investors Industrifonden, SEB Foundation, and Oxx. With the acquisition and the new financing, Apica plans to continue delivering affordable and flexible observability innovations and develop new capabilities in the coming months for enterprise customers.

With the acquisition of LOGIQ.AI and the funding, Apica will deliver active observability, automated root cause analysis, and advanced data management to bridge real-world gaps in analysis.

“We are determined to address the need for low-cost infinite storage and observability to support businesses with relevant, actionable data,” said Mathias Thomsen, CEO, Apica. “With the acquisition of LOGIQ.AI and the additional funding, we will deliver ‘Active Observability’ that combines observability and synthetic monitoring into a proactive platform to plug data gaps and put business data in context.”

“What makes Apica’s new offering unique is the merger of an observability data fabric with synthetic monitoring. In a world where ‘downtime is death’, solving monitoring and observability in a streamlined and cost-efficient way is crucial for businesses,” said Mikael Johnsson, General Partner and co-founder, Oxx. “This novel approach of ‘active observability’ has also been extremely challenging for enterprises with complex data structures or in highly regulated sectors to deploy successfully. With this move, Apica is able to provide companies with an end-to-end observability solution, enabling a broader range of companies to incorporate observability successfully into their operations. Apica is setting a new standard for ‘active observability’, and at Oxx we are excited to see where the Apica team takes this next.”

“Joining Apica with LOGIQ’s data fabric platform creates an innovative and intelligent approach to data management,” said Ranjan Parthasarathy, CEO of LOGIQ. “Together, we are empowering businesses to thrive where data-driven insights meet flawless performance, shaping the future of our customers’ digital success.”

The Apica Ascent platform with LOGIQ.AI gives users complete data pipeline control, a unified view of all information, and infinite high-quality storage at the lowest cost on the market. The platform acts as a superior indexing tool that aggregates data such as logs, traces, network packets, etc. from multiple sources and improves data quality by trimming off excess data and performing enrichments. The data can be shifted from the platform to a lake environment – either Apica’s or another data lake. The result is a unified view of all data for faster root cause analysis while slashing costs and eliminating vendor lock.

“We are offering active observability on your terms,” said Jason Haworth, CPO, Apica. “We can give you observability at a low cost that scales to exabytes and gives you your data in context when and how you need it. We’re also stacking all this functionality into our data lakes and indexers while embracing open standards such as OpenTelemetry. This allows us to be application, device, service, and vendor agnostic. Having these pieces in place lets us be that decoder ring that other vendors in the space just can’t do.”

The LOGIQ.AI capabilities will be added to the Apica Ascent platform and deployed to current customers in Q3 of this year.

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...