Custom software and AI consulting for mid-market enterprises
Altamira operates as a professional services and custom software shop built on PHP, Angular, and AWS, with growing investment in Python, Databricks, and Apache Spark. The org is engineering-heavy (12 roles open) with emerging data capability (2 roles), reflecting a shift toward AI-powered automation and analytics engagements. Active projects span renewable energy, aerospace, and EU-funded defense—capital-intensive verticals where custom integration and process optimization command premium rates. Repeated pain points around legacy system modernization and product validation suggest they are selling bespoke consulting over productized tooling.
Altamira is a custom software consultancy and AI services firm based in Bratislava, serving mid-market and enterprise clients across Western Europe and North America. Founded in 2009, the company grew from offshore software labor arbitrage into a full-service engineering and consulting operation with 51–200 employees. Project work spans web and mobile development, cloud architecture, and emerging AI use cases in process automation. The team operates across Poland, Ukraine, the Caucasus, Egypt, South Africa, Germany, and the US—a distributed hiring model typical of services firms competing on cost and scale without a centralized hub.
Core: PHP, Yii, Angular, MySQL, AWS. Modern layers: React, Node.js, TypeScript, Python, PostgreSQL, Databricks, Apache Spark. Infrastructure: GitLab, Jenkins, Azure (DevOps, Data Lake, AD, Key Vault). Testing: PHPUnit, Jest, Codeception.
Cloud portals for renewable energy; EU-funded drone and demining robotics; aircraft maintenance platforms; React migration from legacy PHP; .NET backend modernization; and long-term engagements with international enterprise clients.
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Altamira's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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