Adaptigent works at the point where legacy mainframe systems meet modern infrastructure, giving companies real-time access to core system data without requiring code changes. The platform pulls fit-for-purpose data from virtually any source and format, letting organizations reduce mainframe MIPS load and cut associated costs while keeping the compiler power and business logic already built into existing systems. Clients named on the site include BNY Mellon, Nationwide Insurance, and Caterpillar, placing the work squarely in large, established enterprises with long-standing mainframe investments.
The core offering centers on integration, orchestration, and automation, delivered through a low-code interface that shortens the path from legacy data to customer-facing applications. Adaptigent supports development and maintenance of BMS maps, builds user-friendly help systems, and connects supply chains for added efficiency, all aimed at modernizing data streams without discarding the systems already in place. This extends to enabling mergers and syncing technologies quickly, work relevant when companies combine disparate core systems on tight timelines.
Beyond data access, Adaptigent frames its role as connecting core systems to the cloud in an instant, supporting secure, real-time customer-facing applications on top of legacy infrastructure. The emphasis throughout is on speed and continuity: moving workloads off the mainframe where it makes sense, keeping business logic intact where it doesn't, and giving enterprises a route to what the company calls the adaptive, intelligent enterprise. For organizations weighing full system replacement against incremental modernization, the pitch is access and integration first, with rip-and-replace held as unnecessary.