Targeting intelligence should tell you who to call on Monday morning, not generate a report someone has to interpret.
Most sales intelligence tools produce dashboards. They surface data, visualize trends, and hand the interpretation back to you. That works fine if you have a RevOps team with time to model it. If you are a lean team with a quota, it is just another thing to manage.
Lightlux was built on a different premise. The system should do the ranking. It should read the signals, apply the weights, and hand you a prioritized contact list with a clear reason why each person is at the top. You decide whether to call. The system decides who is worth calling right now.
That distinction matters more in federal and public sector markets than anywhere else. Procurement cycles are long, relationships matter, and the window between a signal appearing and a solicitation dropping can be a matter of weeks. You cannot afford to find out about an expiring contract after it hits SAM.gov. You need to be in front of the right person before the requirement is written.
That is what this system is designed to do. Not analyze. Execute.
Lightlux grew out of work done inside the U.S. Department of Defense, where the challenge was not finding data but finding signal inside an $800B technology ecosystem with thousands of active program offices and procurement vehicles. The methodology was built to operate at that scale, then refined for commercial teams who need the same precision without the infrastructure.
It has since been applied across federal contractor BD pipelines, commercial SaaS enterprise sales, and conference field intelligence operations. The scoring model is the same in each case. The signal sources change.
Federal, commercial, or both — I'll help you build the right system.