Cloud-native security fabric for multicloud workload governance
Aviatrix secures workload communication across AWS, Azure, GCP, and OCI using a policy-driven architecture built on Kubernetes, SD-WAN, and network tunneling (IPsec, VXLAN, BGP). The tech stack reveals an infrastructure-heavy organization: they're actively adopting RAG and LangChain while investing in AI-powered test automation and agentic workflows, pointing toward AI-assisted incident resolution and network troubleshooting at scale. Hiring is engineering-dominant (24 of 32 roles) at senior and staff levels, with acute pain around test infrastructure scaling and distributed-systems reliability — priorities that align with their shift toward LLM-augmented support tooling.
Aviatrix provides cloud-native security controls for multicloud networks, with a policy plane that governs workload-to-workload communication across VPCs, Kubernetes clusters, and serverless functions. The platform operates across major cloud providers (AWS, Azure, GCP, OCI) and handles hybrid-cloud connectivity patterns including VPC peering, transit gateways, and egress filtering. The company serves mid-to-large enterprises managing complex, distributed infrastructure. Core technical surfaces include network tunneling (IPsec, VXLAN), routing protocols (BGP, OSPF), and observability (Prometheus, Elasticsearch, Grafana). Active development spans test infrastructure maturity, LLM integration for operational workflows, and support-case automation.
Aviatrix runs on AWS, Azure, GCP, OCI with Kubernetes, Terraform, Python, Go, and Kafka. Networking tools include AWS Transit Gateway, BGP, OSPF, IPsec, VXLAN, SD-WAN, and Cisco ISR. Observability uses Prometheus, Elasticsearch, and Grafana. They're actively adopting RAG and LangChain for LLM integration.
Aviatrix is headquartered in Santa Clara, California, with 201–500 employees. The company is privately held.
Aviatrix'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.