Space Situational Awareness (SSA) sensors are sensitive to timing and positioning errors that adversely affect the viability of collected data. Many erratic conditions contribute such as operating conditions, geometric constraints between sensors and sensed objects, and equipment degradation. SSA sensors' performance is assessed in a macro timescale long after processing has taken place. In addition, calibration satellites are commonly employed to assist in correcting gross system changes. These approaches are reactive and fail to address momentary or oscillating sensing errors and result in several data types that are either not optimized or "dropped on the floor"?. Stratagem will develop an approach that employs a proactive, near real-time sensor data conditioning process. Stratagem will analyze, and adopt the approach used by the commercially provided L3 ADS Global Optical Network for targeted AF Space Command mission use cases. Stratagem has teamed with L3 Applied Defense Solutions on Lumos to leverage their expertise on the L3 ADS Global Optical Network and its capabilities. Our team will demonstrate a proof-of-concept solution using a high-impact use case. Our solution will help normalize, calibrate, and "cleanse"? SSA data in near real-time as it comes from commercial and Space Surveillance Network sensors.