AI-powered bot detection and traffic management for hosting providers
Blackwall detects and blocks automated threats targeting hosted websites through an ML-driven traffic filter deployed at scale across HSPs and eCommerce platforms. The stack—C++, Go, PostgreSQL, ClickHouse, Kubernetes, RabbitMQ—reflects a high-performance, data-intensive architecture built for real-time classification. Active pain points around legacy systems and technical debt suggest ongoing platform modernization alongside core bot-detection development.
Notable leadership hires: Head of People
Blackwall, founded in 2019 and based in Tallinn, protects web ecosystems by filtering malicious automated traffic for Hosting Service Providers, Managed Service Providers, and eCommerce platforms that collectively manage hundreds of thousands of websites. The company deploys AI-enabled traffic management solutions, integrating with control panels (Plesk, cPanel) and web servers (Nginx, Apache) to identify and mitigate bot threats at ingestion. Current work spans bot detection engine development, server integration modules, infrastructure-as-code automation, and regional channel partnerships. The organization is engineering-focused with accelerating hiring across Poland, Bulgaria, Uganda, and the UK.
Blackwall's stack includes C++, Go, PostgreSQL, ClickHouse, Kubernetes, RabbitMQ, GitLab CI/CD, Nginx, Apache, and PyTorch/TensorFlow for ML model inference, deployed via Ansible, Terraform, and Helm.
Blackwall is headquartered in Tallinn, Estonia and was founded in 2019. The company employs 51–200 people.
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