Echo provides container base images engineered to eliminate known vulnerabilities at the artifact level, targeting cloud-native infrastructure teams. The stack combines container orchestration (Docker, Kubernetes, containerd) with security tooling (Aqua Security, IDA Pro, Ghidra) and machine learning pipelines, suggesting the company is automating vulnerability detection and remediation rather than relying on reactive scanning. Sales hiring (5 open roles) alongside a lean engineering team signals a sales-led push into enterprise security procurement.
Echo delivers container base images designed to eliminate Common Vulnerabilities and Exposures (CVEs) before deployment. The product targets enterprise infrastructure teams adopting Kubernetes and cloud-native architectures who face unsustainable reactive vulnerability management workflows. Founded in 2025 and headquartered in New York, the company operates with 51–200 employees across the United States, Israel, and the United Kingdom. Active projects include autonomous AI agents for vulnerability elimination, machine learning pipelines for security data analysis, and a CVE-handling and patch automation engine — indicating a shift from manual patching toward automated remediation at build time.
Echo uses TypeScript, React, and Next.js for frontend; Node.js and Go for backend services. Infrastructure runs on AWS, GCP, and Azure. Security tooling includes Aqua Security, IDA Pro, and Ghidra. Data pipelines use Kafka and RabbitMQ; container orchestration relies on Docker, Kubernetes, and containerd with Argo CD and Jenkins for CI/CD.
Echo is headquartered in New York and currently hiring across the United States, Israel, and the United Kingdom. The company was founded in 2025 and operates with 51–200 employees.
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Echo'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.