Global software services firm scaling AI, cloud, and enterprise modernization
Software Mind Americas is a 201–500-person services firm operating across the US, Europe, and LATAM, staffed primarily by senior engineers (7 of 12 active hires) and focused on enterprise software delivery. The tech stack spans cloud platforms (AWS, GCP, Azure), ERP systems (SAP, Oracle, NetSuite), and emerging AI tooling (OpenAI, DefectDojo adoption), while active projects—AI-driven support automation, security testing, Next.js migrations, vulnerability management—reveal a shift toward modernization work and compliance-heavy engagements. Pain points around legacy Drupal sites, complex enterprise integrations, and SOC 2 gaps signal a customer base demanding transformation but operating in constrained, regulated environments.
Software Mind is a services company that staffs engineering teams and manages full-cycle software delivery for enterprise and scale-up clients. Operations span North America, Europe, and Latin America, with hiring active in Brazil, Costa Rica, Uruguay, and Colombia. The business model combines embedded development talent with managed project delivery, supported by expertise in cloud platforms (AWS, GCP, Azure, OCI), enterprise systems (SAP, Oracle, Salesforce, NetSuite), and increasingly AI and security tooling. Current work centers on legacy-to-modern migrations (Drupal to Next.js), vulnerability and compliance programs, and AI integration layers—reflecting customer demand for digital transformation in regulated industries.
Primary stack: Python, Go, C++, React Native. Cloud: AWS, GCP, Azure, OCI. Enterprise: SAP (ECC, S/4HANA, BTP), Oracle (ERP Cloud), NetSuite, Salesforce, Dynamics 365. Tooling: Jira, Confluence, Docker, CrowdStrike Falcon, Qualys. Adopting: Next.js, DefectDojo.
Louisville, Kentucky. The company also operates throughout Europe, the US, and Latin America with hiring in five countries.
Software Mind Americas'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.