AI strategy and implementation consulting for enterprise technology decisions
Perelyn is a Munich-based AI consulting firm (11–50 employees) focused on helping enterprises navigate complex technology choices and measure their business impact. The stack reveals a cloud-native, production-grade operation: Azure + Kubernetes + Docker + Terraform across infrastructure, paired with LangChain, Haystack, and LlamaIndex for LLM work and computer-vision tooling. Active hiring is engineering-heavy (3 roles) and seniority-skewed toward senior practitioners (5 of 7 non-consulting roles), suggesting they're scaling delivery capacity rather than building junior talent pipelines — consistent with a consulting model where client outcomes drive retention.
Perelyn advises mid-market and enterprise clients on AI strategy, use-case identification, and implementation. The firm operates across three concurrent work streams: designing and rolling out AI strategies for clients, running innovation workshops to uncover AI-viable use cases, and delivering hands-on implementations (notably computer-vision and LLM projects). Revenue and delivery are underpinned by an engineering team comfortable with production Kubernetes, Azure infrastructure-as-code, and observability stacks (Prometheus, Grafana, ELK). Internally, the company is modernizing its own financial and administrative systems (digitizing accounting, streamlining workflows) — a pattern typical of consulting firms scaling beyond founder-run operations.
Azure, Kubernetes, Docker, Terraform, and GitHub Actions for cloud infrastructure; LangChain, Haystack, and LlamaIndex for LLM work; Prometheus, Grafana, and Elasticsearch for observability; Python, TypeScript, and Java for application code.
AI strategy consulting and implementation for clients; LLM and computer-vision use-case projects; AI strategy workshops; internal digitization of accounting and financial workflows; innovation product and service exploration.
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