Agentic network and infrastructure automation platform with governed execution
Itential builds an orchestration platform that pairs AI agents with controlled, auditable execution across network, cloud and IT systems. Its stack shows a Go/gRPC/etcd core with DynamoDB, Kafka and Kubernetes, plus native NETCONF, RESTCONF, Ansible and Terraform integrations, and an MCP server on the roadmap. Senior-skewed, accelerating hiring splits between platform engineering and channel-focused sales, pointing to partner-led expansion.
Itential is a privately held software company headquartered in Atlanta, GA, founded in 2014 and employing 201–500 people. It sells an automation and orchestration platform to network and infrastructure teams at enterprises, service providers, financial institutions and US Federal agencies. The product integrates with network vendors such as Cisco, Juniper and Arista, cloud providers AWS, Azure and GCP, and IT tools like ServiceNow, NetBox and Infoblox. Governance features include role-based access, secrets management, audit trails and human approval gates. The company hires in the United States and United Kingdom.
Itential's stack includes Go, gRPC, etcd, DynamoDB, Kafka, Kubernetes, Prometheus and Python, with Ansible, Terraform, NETCONF and RESTCONF for network automation and GitLab CI/CD and Jenkins for delivery.
Job posts point to deterministic and agentic automation orchestration, a gateway server with gRPC APIs, a multi-backend store architecture, MCP server integration and partner ecosystem expansion.
Itential is headquartered in Atlanta, GA, and is currently hiring in the United States and United Kingdom across engineering, sales, product, ops and support.
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Itential's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.