Hedgehog
Hedgehog provides an AI Network solution designed to optimize AI workloads by reducing job completion times for training and fine-tuning, and enhancing user experience during inference. Their network data plane manages congestion and packet loss, utilizing RoCEv2, ECN, and PFC for optimal performance. Hedgehog offers a cloud user experience familiar to cloud operations teams, eliminating the need for specialized network engineers. Their open-source software enables users to purchase network equipment from multiple vendors and automates network operations for reduced operational expenses. Key products include Virtual Private Cloud (VPC) for multi-tenant isolation, Open Network Fabric for various AI use cases (edge, RAG, fine-tuning, training, data center), and Transit Gateway for secure, fee-free connectivity across distributed cloud environments. Their platform is built on Kubernetes, offering a cloud-native API for scalability, automation, and infrastructure as code, operating similarly to AWS services but tailored for AI and private/hybrid cloud deployments.
Hedgehog
Hedgehog provides an AI Network solution designed to optimize AI workloads by reducing job completion times for training and fine-tuning, and enhancing user experience during inference. Their network data plane manages congestion and packet loss, utilizing RoCEv2, ECN, and PFC for optimal performance. Hedgehog offers a cloud user experience familiar to cloud operations teams, eliminating the need for specialized network engineers. Their open-source software enables users to purchase network equipment from multiple vendors and automates network operations for reduced operational expenses. Key products include Virtual Private Cloud (VPC) for multi-tenant isolation, Open Network Fabric for various AI use cases (edge, RAG, fine-tuning, training, data center), and Transit Gateway for secure, fee-free connectivity across distributed cloud environments. Their platform is built on Kubernetes, offering a cloud-native API for scalability, automation, and infrastructure as code, operating similarly to AWS services but tailored for AI and private/hybrid cloud deployments.
TL;DR
What they do: Open network fabric and AI network data plane to optimize distributed cloud and AI workloads
Founded / HQ: 2022; Seattle, Washington
Stage / Funding: Pre-Seed; at least one Pre-Seed round (Nov 22, 2022)
Team size (reported): 1–10 / ~24 (conflicting reports)
Company Overview
Problem Domain
Networking infrastructure for distributed cloud and AI workloads (performance, congestion management, multi-tenant isolation, operational automation).
Founded
2022
Industry
Infrastructure software / Cloud networking
Tech Stack
Funding Track Record
Crunchbase records a Pre-Seed round announced Nov 22, 2022 and reports six investors including Engineering Capital and Ascend
Investor Signal
“Engineering Capital; Ascend”