ilert pairs multi-model LLMs (Claude, GPT, OpenAI API) with Kafka streaming and ClickHouse analytics to automate incident triage and resolution. The stack reveals a company building agentic systems—LangChain + RAG + JSON Schema tooling, plus active development of AI SRE agents—while simultaneously scaling GTM and content strategy. Leadership-gap in non-engineering roles (3 manager-track openings across marketing, sales, product) suggests rapid product-market fit pulling the org faster than management depth.
ilert is a SaaS incident response platform built for B2B and B2C operations teams managing microservices, serverless, and cloud-native infrastructure. The core product automates alert routing, on-call scheduling, and incident escalation—increasingly with AI-driven investigation and resolution—so teams are paged only when human intervention is necessary. Founded in 2011 and based in Cologne, the company operates lean (11–50 employees) and is actively expanding hiring in the United States and Germany, with 12 open roles weighted toward engineering (5 positions) and marketing/sales functions (5 combined).
ilert integrates Claude, GPT, and OpenAI API for incident investigation and resolution. The stack also includes LangChain and retrieval-augmented generation (RAG) for context-aware automation.
Core: Kubernetes, Kafka, ClickHouse, Java, Rust, Go, Python. Frontend: TypeScript, Node.js, Vercel. Observability: Grafana, Prometheus, Datadog. Integrations: Slack, Teams, Jira. Currently adopting Rust for performance-critical components.
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