
HEAL Software announced its launch to the global market with its HEAL brand of products and establishment of US headquarters in Santa Clara CA.
“HEAL” is the umbrella brand for its enterprise product portfolio for cloud, edge and on-premise deployments of its proven monitoring and artificial intelligence for IT operations (AIOps) software – designed to effectively preempt outages by acting before they occur. The brand will continue to enable digital enterprises to transform while further advancing the paradigm shift from break-and-fix to predict-and-prevent.
HEAL enables IT operations teams to find and fix problems before they happen. Rather than responding to alerts after an incident occurs, HEAL uses machine learning (ML) models and AI algorithms to perform correlations between cross-platform events and provide both highly accurate capacity projections as well as pinpoint previously imperceptible early warning signals indicating the likelihood of a future problem.
The heavily patented techniques enable IT operations teams to respond proactively and even automatically correct issues before they arise without human intervention. Plus, by correlating events and providing a complete picture of the root of the issues versus just the symptoms, enterprises see fewer incidents overall and waste less time troubleshooting.
HEAL Software’s new leadership team brings deep industry knowledge and will help further advance its penetration into North American and global markets.
“There is high growth projected in the AI-driven IT operations management segment,” stated George Thangadurai, CEO of HEAL Software. “We firmly believe HEAL Software Inc. is uniquely positioned to help meet customer demands with our core set of products anchored around our HEAL brand. To date, our customers have achieved an average 60 percent reduction in false-positive alerts, a 60 percent reduction in developer time spent solving problems and a 75 percent decrease in incidents.”
Avataar Venture Partners also invested $24M in HEAL Software Inc.
Mohan Kumar, managing partner at Avataar Venture Partners and a board member, said: "These funds will enable the expansion of its global presence and extend its market reach to enable greater adoption of autonomous business operations, which will save companies a tremendous amount of time and money."
The Latest
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.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...
The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...
Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...
If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...