Software Consulting
Prolifogy’s team of industry-leading experts provide software consulting services—including source code reviews, fully customized corporate training, project management, R&D, and subject matter expertise—that fit seamlessly into your existing teams and projects to meet your needs.
Intellectual Property
If your organization is facing litigation, a merger or acquisition, IP sale, or a due diligence process, Prolifogy’s intellectual property consulting services—including source code analysis, expert witness, patent advisory, and reverse engineering—are indispensable.
Application Development
Quality, customized software technology is designed to drive innovation and increase efficiency, productivity, and profits—and Prolifogy’s custom software development services can help your business do just that.
Case Study: Software Failure Remediation
Organizations experiencing a critical software failure need software failure remediation from highly trained veteran software experts. Prolifogy Software & Consulting can assist its clients with software failure remediation and perform a detailed analysis of the client’s software. This is a case study highlighting a past software failure remediation project Prolifogy has been involved with. […]
Software Quality Review: Don’t Wait for Complaints
Organizations that develop software often measure success by delivering new features, meeting deadlines, and satisfying customer requests. Those goals are important, but they can distract from something even more important: software quality. A professional software quality review helps your organization identify engineering risks before they become customer complaints, missed deadlines, or costly legal disputes. Many […]
AI Code Review Remains Insufficient
Artificial intelligence has changed software development. Today’s AI tools generate everything from simple utility functions to complete applications. In many cases, they do so in seconds. As these tools become more capable, a common misconception has emerged. Many people, including software professionals, assume that if AI can generate software, the generated software must be correct. That assumption overlooks an important fact.
