SuperOps is the AI-native unified platform for modern MSPs and internal IT teams. It replaces the typical four-to-six-tool IT operations stack - PSA, RMM, helpdesk, MDM, asset tracking, network monitoring, patch management and IT documentation - with a single, built-as-one platform on a shared data layer.
That architectural choice is what makes the rest of the platform work, particularly its agentic AI. Monica AI, SuperOps' intelligence layer, was designed alongside the platform from day one. It triages tickets, surfaces patch and CVE risks, drafts worklogs, suggests knowledge base articles, and increasingly handles fully autonomous workflows for routine work.
SuperOps supports Windows, macOS, Linux, iOS, iPadOS and Android, integrates with the IT and MSP ecosystem (Slack, Teams, Azure AD, Okta, QuickBooks, Xero, Bitdefender, SentinelOne and more), and bundles Splashtop and ISL Online remote access free. Transparent pricing, fast deployment, founder-led product investment.
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CloudZero is the leader in proactive cloud cost efficiency. We enable engineers to build cost-efficient software without slowing down innovation. CloudZero's next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. We are the only platform that enables companies to understand 100% of their operational cloud spend and take an engineering-led approach to optimizing that spend. CloudZero is used by industry leaders worldwide, such as Coinbase, Klaviyo, Miro, Nubank, and Rapid7.
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Fairwinds Insights
Protect and optimize your mission-critical Kubernetes applications. Fairwinds Insights is a Kubernetes configuration validation platform that proactively monitors your Kubernetes and container configurations and recommends improvements. The software combines trusted open source tools, toolchain integrations, and SRE expertise based on hundreds of successful Kubernetes deployments. Balancing the velocity of engineering with the reactionary pace of security can result in messy Kubernetes configurations and unnecessary risk. Trial-and-error efforts to adjust CPU and memory settings eats into engineering time and can result in over-provisioning data center capacity or cloud compute. Traditional monitoring tools are critical, but don’t provide everything needed to proactively identify changes to maintain reliable Kubernetes workloads.
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