AI-driven breach protection and remediation for consumer and enterprise endpoints
Point Wild builds endpoint data-breach protection backed by an agentic AI threat engine, running Go and Python services on AWS and GCP with Kubernetes, Istio and ArgoCD. The stack pairs VPN protocols (WireGuard, OpenVPN, IPsec) with an ML serving layer (Triton, vLLM, MLflow), and the senior-heavy engineering hiring targets moving AI prototypes into production plus a software supply chain scanning pipeline.
Point Wild is a privately held security company headquartered in Boston, Massachusetts, with 51–200 employees. It provides data breach resilience, response and remediation for both consumer and enterprise endpoints. Its protection runs on Lat61, an agentic AI threat engine that draws on telemetry from a large base of protected endpoints. Engineering hiring spans the United States and Eastern Europe, including Estonia, Poland, Romania and Ukraine.
Point Wild uses Go, Python and Java on AWS and GCP, with Kubernetes, Helm, ArgoCD, Istio, Terraform, PostgreSQL, BigQuery, Airflow, and ML tooling like Triton, vLLM and MLflow.
Point Wild hires in the United States, Estonia, Poland, Romania and Ukraine, mostly for senior and lead engineering roles.
Current work includes a next-generation production ML platform, automated ML training pipelines, CI/CD automation, and a software supply chain security detection pipeline with open-source package scanning.
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Point Wild'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.