Arpio
Automated disaster recovery and ransomware recovery platform for AWS and Azure, replicating cloud infrastructure to restore operations rapidly after an attack or outage.
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Arpio provides automated disaster recovery and ransomware recovery software purpose-built for cloud-native environments, mapping the dependencies inside complex AWS and Azure workloads and replicating entire infrastructure stacks so an organization can fail over and restore operations after a destructive attack, cloud outage, or accidental deletion. The pitch is speed and cloud-nativeness: Arpio claims recovery from catastrophic failure in under ten minutes because it operates at the infrastructure-as-code and cloud-API level rather than relying on traditional backup-and-restore tooling designed for on-premises servers.
Founded in 2020 by Doug Neumann and Shaw Terwilliger and based in Durham, North Carolina, Arpio sits in the cyber resilience space that has grown in importance as ransomware groups increasingly target backup and recovery infrastructure directly, making recovery speed and infrastructure isolation a security control in its own right rather than a purely IT operations concern.
The company closed a $15 million Series A in mid-2026, led by S3 Ventures and Paladin Capital Group with participation from Draper Associates and others, to extend its automated recovery platform to Google Cloud and other AI-native environments. As a Series A company, Arpio’s customer base and independent efficacy data remain limited compared to established backup and disaster recovery incumbents, but its narrow focus on rapid, automated cloud-native recovery is a genuine architectural difference from legacy backup vendors retrofitting cloud support.
Innovation Matrix Assessment
Arpio closed a $15M Series A in mid-2026 specifically to extend recovery automation to Google Cloud and additional AI-native services, indicating active platform expansion rather than a stalled roadmap.
Automating dependency mapping and full infrastructure replication across AWS and Azure addresses a real operational gap for cloud-native teams whose workloads legacy backup tools were not designed to protect.
A $15M Series A co-led by S3 Ventures and Paladin Capital Group, with participation from multiple additional investors, is a credible independent signal of growing investor confidence, though the company is still early-stage.
Purpose-built cloud-native recovery architecture (infrastructure-as-code replication rather than traditional backup-and-restore) is a meaningfully different approach from incumbent backup vendors retrofitting cloud support onto legacy architectures.
The sub-ten-minute recovery claim is vendor-stated and has not been independently benchmarked; as a young Series A company, Arpio has not yet published named customer case studies or third-party validation of recovery outcomes under real attack conditions.
Ransomware groups increasingly target backup and recovery infrastructure directly, making fast, isolated, automated cloud recovery an increasingly important control that maps directly to a top-of-mind CISO concern.
Why CISOs Should Care
Offers a way to test and rely on rapid, automated recovery of cloud infrastructure after a ransomware attack, reducing dependence on manual runbooks that often fail under real incident pressure.
What Makes It Different
Built specifically for cloud-native infrastructure recovery (AWS/Azure dependency mapping and replication) rather than adapting legacy on-premises backup architecture to the cloud.
The Matrix Verdict
62/100 — INCREMENTAL INNOVATOR
A well-funded, architecturally differentiated cloud recovery startup addressing a real and growing need, but still early enough that its recovery-time claims and efficacy require independent validation as it scales.
Editorial Note: Claims vs. Verified Findings
The $15M Series A, investor list, and 2020 founding are independently reported via press coverage. The 'under ten minutes' recovery time and specific dependency-mapping performance claims are vendor-stated and not independently verified.
Sources
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