Infrastructure and ML consultancy for enterprise tech transformation
Lenstra is a 51–200-person consultancy building infrastructure, data platforms, and AI solutions for mid-market and enterprise clients. The stack—Terraform, Kubernetes, Python, PostgreSQL, plus security tooling (Vault, SIEM, SOAR)—reflects deep infrastructure expertise. Active projects span ML platforms, data foundations, API gateways, and disaster recovery, while pain points cluster around cloud cost optimization, production AI integration, and cross-application data flow—a hiring mix (11 of 12 roles senior-level, with engineering and data emphasis) that suggests client work skews toward complex, multi-system architecture rather than commodity consulting.
Lenstra advises clients on defining technical strategy and assembling infrastructure and data solutions to improve operational performance. The consultancy operates from Paris and works primarily in France. Core service areas include enterprise data platforms (supporting hundreds of users), ML infrastructure (serving data science teams of 100+), cloud optimization, and middleware integration across legacy and modern systems. Engagements typically span business strategy, technical architecture, and implementation—combining infrastructure expertise (Kubernetes, Terraform, cloud-native tooling) with data and security specialization.
Lenstra uses Terraform, Kubernetes, Python, PostgreSQL, AWS, Docker, Vault, Consul, and Go. Security tooling includes SIEM, SOAR, and MITRE ATT&CK. Monitoring relies on Grafana and Nagios.
Current projects include ML platforms for 100+ data scientists, data platforms serving 400+ users, enterprise middleware integration, API gateways, AI production deployment, and cloud infrastructure optimization.
Other companies in the same industry, closest in size