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CloudHound

CloudHound is an infrastructure intelligence platform that automates discovery, analysis, and migration of complex IT estates to AWS and OCI. It collects one-minute utilization samples from every server, classifies workloads by purpose, and generates costed migration wave plans. The platform also performs block-level replication, enabling migrations of 125 servers in 12 minutes.

  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Software Only
Auckland, New Zealand · HQ
Founded 20244100+ followers
Updated 5 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises migrating to cloud platforms often lack a complete, accurate picture of their existing infrastructure, including server utilization, dependencies, and workload purpose. Traditional discovery methods rely on manual inventories, stale reports, or estimates, leading to mis-sized resources, unexpected migration issues, and prolonged timelines.

Solution

CloudHound provides a single platform that takes users from discovery to migration, automating the entire process. It installs lightweight agents on servers or works agentlessly over SSH and WinRM to collect real-time inventory, processes, and network flows. The platform continuously samples CPU, memory, disk, and activity patterns at one-minute resolution, then uses this data to right-size workloads, model costs against live AWS and OCI rates, and generate dependency maps and wave plans. CloudHound also executes the migration itself through block-level replication, creating exact clones that boot on EC2 without modifying the source.

Target Audience

Primary customers are enterprise IT teams and cloud migration specialists planning or executing large-scale moves to AWS or Oracle Cloud Infrastructure, particularly those managing complex, heterogeneous server estates.

Features

  • Automated server discovery across operating systems, workloads, and runtime characteristics with agent-based or agentless collection
  • High-fidelity utilization sampling at one-minute resolution, capturing CPU, memory, disk throughput, and IOPS over 7-day periods
  • Purpose-driven classification that identifies server roles and intent to support migration planning
  • Cost modeling against live AWS and OCI pricing, comparing on-demand, reserved, and savings plan options side by side
  • Dependency mapping from network flows, clustering servers into applications and generating drag-and-drop wave plans
  • Block-level migration with delta syncs and verification, capable of replicating 125 servers across 94 OS variants in 12 minutes
This profile is AI-generated and may contain inaccuracies.