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Appnomic Raises $22 Million in Funding

Appnomic announced a $22M round led by Avataar Ventures, as well as the appointment of high-tech veteran, Nitin Kumar, to the CEO post.

The company is pioneering AI-enabled self-healing technology, which is a game-changer for IT operations. The technology-enabled industry sectors lose $1.7 T every year globally due to downtime and information loss. While companies employ a myriad of tools to detect problems early, they still fight a losing battle as they address the issues only after incidents occur and start damaging the business.

AI is changing all of this by predicting problems before they occur, preventing them from surfacing by resolving causes automatically. The software solution offered by Appnomic enables 40+ customers who could prevent more than 250,000 severe incidents a year. This amounts to 850,000+ man-hours savings, and more than $40,000,000 in costs, excluding the impact on the customers’ brand and external relationships.

This new technology category has motivated Avataar Ventures to lead the latest round, investing $22M in Appnomic.

“Appnomic offers the industry’s first Autonomous IT Operations Software. Avataar is excited about this investment and new team,” said Mohan Kumar, Managing Partner at Avataar Ventures. “These funds will allow Appnomic to expand its global presence and market reach to enable autonomous business operations, which will save companies a tremendous amount of time and money.”

“Appnomic is years ahead of traditional monitoring, APM, AIOps and Cognitive Operations players because true AI and ML were put into use a long time ago,” explained Nitin Kumar, CEO, Appnomic. “Businesses are looking for providing better customer experiences, less downtime, and cost savings. Organizations integrating self-healing systems have a competitive advantage over those that do not. Appnomic has multiple patents in the self-healing domain and continues to innovate in this arena. The new team and I have great plans to scale this business in 2020.”

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Appnomic Raises $22 Million in Funding

Appnomic announced a $22M round led by Avataar Ventures, as well as the appointment of high-tech veteran, Nitin Kumar, to the CEO post.

The company is pioneering AI-enabled self-healing technology, which is a game-changer for IT operations. The technology-enabled industry sectors lose $1.7 T every year globally due to downtime and information loss. While companies employ a myriad of tools to detect problems early, they still fight a losing battle as they address the issues only after incidents occur and start damaging the business.

AI is changing all of this by predicting problems before they occur, preventing them from surfacing by resolving causes automatically. The software solution offered by Appnomic enables 40+ customers who could prevent more than 250,000 severe incidents a year. This amounts to 850,000+ man-hours savings, and more than $40,000,000 in costs, excluding the impact on the customers’ brand and external relationships.

This new technology category has motivated Avataar Ventures to lead the latest round, investing $22M in Appnomic.

“Appnomic offers the industry’s first Autonomous IT Operations Software. Avataar is excited about this investment and new team,” said Mohan Kumar, Managing Partner at Avataar Ventures. “These funds will allow Appnomic to expand its global presence and market reach to enable autonomous business operations, which will save companies a tremendous amount of time and money.”

“Appnomic is years ahead of traditional monitoring, APM, AIOps and Cognitive Operations players because true AI and ML were put into use a long time ago,” explained Nitin Kumar, CEO, Appnomic. “Businesses are looking for providing better customer experiences, less downtime, and cost savings. Organizations integrating self-healing systems have a competitive advantage over those that do not. Appnomic has multiple patents in the self-healing domain and continues to innovate in this arena. The new team and I have great plans to scale this business in 2020.”

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...