MyDecisive launches AI DevOps platform with $12M, claims 90% cost cut

MyDecisive formally launched today as an AI DevOps startup with $12 million（約19億円） in new funding. The company was founded by Ari Zilka in San Francisco in 2023. Zilka brings a long track record in enterprise infrastructure: two decades ago he built application software company Terracotta Inc., which was later sold to Software AG, and he architected the first version of Walmart.com. Most recently, he ran technology at Hortonworks Inc., the Hadoop vendor that Cloudera Inc. absorbed in 2019.

At the center of the launch is SmartHub, an open-source foundation built as a Kubernetes and OpenTelemetry-native self-managing cluster. SmartHub gives engineering teams control over their telemetry data and intercepts that data at the edge—inside a customer's own cloud or on-premises systems—rather than shipping large volumes to third-party dashboards. Layered on top is Octant, a commercial suite that becomes generally available today. Octant adds governance, security controls, and automation, with capabilities such as error management, anomaly detection with automated runbook execution, cloud auto-scaling, and security log optimization. MyDecisive says engineers can turn on these capabilities in hours.

The company claims the combination of SmartHub and Octant cuts the total operating cost of production systems by nearly 90% and brings time-to-value down to a single day. MyDecisive targets a gap enterprises hit as both human and AI developers change production systems continuously. According to the company, enterprises often lack the visibility to govern those changes safely at scale, leaving the performance, security, and cost data those systems generate unused until an incident forces a response. Ari Zilka stated: "For the past three years, we have been quietly building the infrastructure that enterprises actually need, rather than the hype they've been sold." He noted that rooting commercial products in open-source SmartHub gives customers the flexibility of open standards alongside enterprise-grade tooling, and that they are running the software in production rather than testing it.

MyDecisive said it is already powering production workloads across the financial services, retail, telecommunications, and healthcare sectors. Copper Sky Capital backed the $12 million（約19億円） round. Jason Pressman, a managing partner at the firm, said MyDecisive delivers an autonomous system that resolves errors and prevents outages before human intervention is required. Copper Sky Capital, formerly known as AZ-VC, typically leads or co-leads seed and Series A rounds in AI-first software startups.

MyDecisive enters a market where enterprises increasingly struggle with the operational complexity of AI-at-scale. Founder Ari Zilka brings significant credibility: he built Terracotta Inc. (later sold to Software AG), architected the first version of Walmart.com, and most recently ran technology at Hortonworks before it was acquired by Cloudera in 2019. This experience in large-scale infrastructure suggests the team understands the observability and governance challenges enterprises face.

The company's core pitch rests on two observations the body articulates: as both human and AI developers change production systems continuously, enterprises often lack the visibility to govern those changes safely, leaving performance, security, and cost data unused until an incident forces a response. By rooting its commercial product (Octant) in an open-source foundation (SmartHub), MyDecisive aims to offer customers the flexibility of open standards without forcing a choice between open-source and enterprise-grade tooling.

The claimed outcomes—a nearly 90% reduction in total production system operating cost and time-to-value of a single day—are significant if validated in practice. Copper Sky Capital's investment, described as typical for the firm's focus on seed and Series A rounds in AI-first software, suggests early-stage backing rather than later validation. The fact that MyDecisive says it is already running the software in production across multiple sectors (financial services, retail, telecommunications, healthcare) rather than merely testing it may indicate the claims rest on deployed experience.

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