Akeno builds production-planning software for process manufacturers (chemicals, pharma, metals, food & beverage) using real-time data from OT and IT systems to automate and optimize shop-floor schedules. The tech stack—OR-Tools, Python, Go, Rust, plus a full observability layer (Fluentd, Loki, Grafana)—reflects a company solving discrete optimization problems at scale. Recent adoption of Claude and active hiring of 6 senior + 1 staff engineer suggests they're scaling algorithmic depth while building enterprise delivery capabilities.
Akeno operates a SaaS platform for real-time production planning in process industries, connecting directly to customer manufacturing systems (OT and IT) to adapt schedules to changing conditions. Founded in 2021 and headquartered in Hamburg, the company now runs factories across Europe, Asia, and South America. The engineering org is focused on three layers: heuristic and solver algorithms (OR-Tools, custom optimization), a simulation and scheduling engine, and a full observability and CI/CD infrastructure. Sales and implementation are handled in-house; the business model is vendor-managed, not self-service-first.
Backend: Python, Go, Rust, Node.js, PostgreSQL. Optimization: Google OR-Tools. Frontend: React, TypeScript, GraphQL. DevOps: Terraform, Ansible, GitHub Actions, Fluentd, Loki, Grafana. Testing: Cypress, Jest. Recently adopting Claude for AI features.
Heuristic and solver algorithm development, simulation engine maintenance, OT/IT data integrations, observability stack (Fluentd, Loki, Grafana), CI/CD and GitOps standardization, and enterprise-ready scheduling for complex production workflows.
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