Enterprise modernization and IT services for mission-critical systems
Ubertal pairs legacy system remediation with newer enterprise platforms—ServiceNow, SAP, Azure, Power BI—while phasing out COBOL and DB2. The project mix (financial systems modernization, incident management, statewide accounting transitions) and pain-point concentration (cybersecurity, incident response delays, legacy remediation) reveal a consulting firm embedded in large-scale infrastructure overhauls, likely public-sector or regulated-industry clients. Recent hiring acceleration across engineering and ops suggests scaling capacity for ongoing modernization engagements.
Ubertal is a Silicon Valley–based IT services and consulting firm founded in 2011, focused on helping mid-to-large organizations modernize mission-critical systems. The company combines staff augmentation and custom development—primarily around .NET, C#, ServiceNow, SAP, and cloud platforms (Azure, AWS)—with in-house IP and joint solutions co-created with clients. Current work centers on financial systems overhauls, incident management process redesign, and statewide accounting transitions, indicating deep roots in public-sector and highly regulated verticals. The firm operates across the United States with a headcount in the 201–500 range.
Primary: .NET, C#, ASP.NET, SQL Server, ServiceNow, SAP, Azure, and Power BI. Also uses Angular, Java, AWS, Azure DevOps, and Figma. Retiring legacy COBOL and DB2.
Financial systems modernization, statewide accounting system transitions, incident management and IT change process improvement, and business intelligence modernization. Focus on large-scale legacy remediation and operational resilience.
Ubertal Inc.'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.