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BigPanda Acquires Velocity

BigPanda announced the acquisition of Velocity, an AI-powered SRE company with deep expertise with SRE and major incident response teams.

With its Agentic IT Operations platform, BigPanda automates L1 Operations, augments SRE and major incident teams, and predicts and prevents incidents before they impact customers. The acquisition of Velocity deepens that foundation. Their talent, technology, and customer-centric mindset are a natural fit for BigPanda as customers work to transform reactive, human-led operations into proactive, reasoning-based automation that frees talent from repetitive tasks and reduces operating costs.

With Velocity’s technology and expertise, BigPanda will further accelerate its AI Detection and Response product to automate manual L1 operations, helping IT teams reduce MTTR, reduce costs, and improve overall IT resilience.

As part of the acquisition, Tal Kain, founder and CEO of Velocity, joins BigPanda as VP of AI Detection and Response. Tal brings decades of experience leading high-impact engineering teams and building AI systems that scale in complex enterprise environments.

Before founding Velocity, Tal held leadership roles in several successful startups, including companies acquired by Oracle, Verint, and PSG. His early career in Israel’s elite Unit 8200 laid the foundation for a lifelong focus on intelligent automation and operational resilience.

“Velocity was built on the conviction that engineers should focus on solving big problems, not chasing alerts,” said Tal Kain, Founder and CEO of Velocity. “Combining Velocity’s innovation with BigPanda’s reach, scale, and data foundation, we’re able to deliver agentic workflows and AI-native tools so teams can move faster, stay focused, and deliver reliability at scale.”

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BigPanda Acquires Velocity

BigPanda announced the acquisition of Velocity, an AI-powered SRE company with deep expertise with SRE and major incident response teams.

With its Agentic IT Operations platform, BigPanda automates L1 Operations, augments SRE and major incident teams, and predicts and prevents incidents before they impact customers. The acquisition of Velocity deepens that foundation. Their talent, technology, and customer-centric mindset are a natural fit for BigPanda as customers work to transform reactive, human-led operations into proactive, reasoning-based automation that frees talent from repetitive tasks and reduces operating costs.

With Velocity’s technology and expertise, BigPanda will further accelerate its AI Detection and Response product to automate manual L1 operations, helping IT teams reduce MTTR, reduce costs, and improve overall IT resilience.

As part of the acquisition, Tal Kain, founder and CEO of Velocity, joins BigPanda as VP of AI Detection and Response. Tal brings decades of experience leading high-impact engineering teams and building AI systems that scale in complex enterprise environments.

Before founding Velocity, Tal held leadership roles in several successful startups, including companies acquired by Oracle, Verint, and PSG. His early career in Israel’s elite Unit 8200 laid the foundation for a lifelong focus on intelligent automation and operational resilience.

“Velocity was built on the conviction that engineers should focus on solving big problems, not chasing alerts,” said Tal Kain, Founder and CEO of Velocity. “Combining Velocity’s innovation with BigPanda’s reach, scale, and data foundation, we’re able to deliver agentic workflows and AI-native tools so teams can move faster, stay focused, and deliver reliability at scale.”

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Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

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For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

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