Agentic AI threat detection and breach response for endpoints
Point Wild builds breach resilience and response tools around Lat61, an AI threat-detection engine trained on signals from 25 million protected endpoints and over 1 billion daily events. The tech stack reveals a cloud-native, containerized architecture (Kubernetes, Docker, multi-cloud across AWS/GCP/Azure) paired with observability infrastructure (Prometheus, Grafana, OpenTelemetry) — typical of companies managing high-volume telemetry at scale. Hiring is heavily engineering-focused (20 of 21 open roles) and skewed senior, suggesting they're building complex detection logic rather than scaling sales.
Point Wild delivers data breach resilience, response, and remediation for consumer and enterprise endpoints. The company's core differentiator is Lat61, an agentic AI threat-protection engine powered by a data moat of 25 million protected endpoints and over 1 billion daily security events. This volume of ground-truth data feeds unified threat insights and network effects across the breach ecosystem. The product targets both consumer and enterprise markets. The company operates from Boston and is privately held with 51–200 employees.
Lat61 is Point Wild's agentic AI threat-protection engine, trained on data from 25 million protected endpoints and over 1 billion daily security events. It powers unified threat insights and breach response across the product.
Multi-cloud infrastructure (AWS, GCP, Azure) with Kubernetes and Docker for orchestration; Python, Go, Node.js, and Ruby for backend services; Prometheus and Grafana for observability; Terraform and CloudFormation for infrastructure-as-code.
Other companies in the same industry, closest in size
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.