Other platforms were built for the enterprise. FORGE was built for contingency operations — native CDRL generation, IoT edge intelligence, DCAA-compliant timekeeping, and a field interface that actually gets used. Built for AWS GovCloud and ready for LOGCAP, AFRICOM, and beyond.
The enterprise platforms were not built for the task order environment. They take 18 months to implement and assume you have a dedicated IT team, stable connectivity, and a workforce that does not rotate every six months. None of those things are true in LOGCAP, AFCAP, or SOFGLSS operations.
FORGE does not adapt general-purpose enterprise features for the LOGCAP environment. These capabilities were designed from the ground up for task order operations.
These are actual screenshots from the FORGE platform running in our development environment. Every module shown is built and functional.
Native iOS App
FORGE’s CDRL framework, AQL scoring, task order lifecycle, and DCAA timekeeping apply directly across every vehicle below. The platform, not the customer, does the compliance work.
We did not port a commercial platform to GovCloud. FORGE was architected for GovCloud from the first line of infrastructure code — FIPS endpoints throughout, customer-managed encryption keys, and an immutable audit trail from day one of operation.
The FORGE AI assistant has full access to your operational data — assets, work orders, timecards, inventory, alerts, and CDRL status — scoped to your role and permissions. Natural language in. Operational output out. No navigation required.
Big Forge One was built by a team with direct experience in the environments where FORGE is deployed — not by software engineers who read about contingency operations logistics. That difference is in every design decision in the platform.
We will publish the results of our first LOGCAP deployment regardless of what they show. These are the targets FORGE is engineered to hit over a 90-day pilot period.
We define success criteria together before we start. Your team sets what success looks like — CDRL time reduction, field tech adoption, equipment uptime, or something else specific to your operation. The data is yours regardless of the outcome.