
Splunk announced the launch of Splunk Ventures and two inaugural funds designed to help the next generation of data doers turn data into doing.
Through a $100 million Innovation Fund and a $50 million Social Impact Fund, Splunk Ventures is investing in early stage companies that can harness the power of data to change the world.
Splunk Ventures is designed to invest in companies that will further drive growth of the technology ecosystem that brings data to every decision, question and action. Ultimately, these investments help customers, partners and third-party developers address new use cases and realize more value from their data.
“Organizations around the world are not only racing to make faster, better decisions, they’re also hoping to turn data into business outcomes that are both cost and time effective,” said Doug Merritt, President and CEO, Splunk. “To meet this demand and help data live up to its full, world changing potential, it’s critical that Splunk invest in technologies that can help remove the barrier between data and action. I’m thrilled to launch Splunk Ventures and can’t wait to start working with some of the groundbreaking companies we’re investing in, as we work together to bring data to everything.”
The Splunk Ventures Innovation Fund is a $100 million fund that invests in startups working to transform data into business value. In addition to funding, Splunk Ventures provides portfolio companies with go-to-market support, access to Splunk technology and engagement with Splunk leaders.
While the growth of technology is paramount to amplify data’s impact, Splunk also believes that data has the power to make the world a better, stronger and more inclusive place for all. The Splunk Ventures Social Impact Fund is a $50 million fund that invests in organizations using data for the good of society.
“At Splunk, we firmly believe that data offers unparalleled potential to make the world better. As the world’s Data-to-Everything Platform, we have a responsibility to turn that potential into a reality,” said Ammar Maraqa, SVP of Strategy and Corporate Development, Splunk. “Through investments, the Splunk Ventures Social Impact Fund helps us make good on our promise to improve society, solve problems and promote positive change with data. We’re proud to take this unique approach to the investment market, where we measure success not just on the bottom line, but also on societal impact.”
The Latest
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 ...