Multi-Domain Data Collection & Analysis Solutions
Your complete Multi-Domain System-of-System Data Collection & Analysis Solution incorporates a fusion of hardware and software known as the LiquidMetal™ Framework, a nod to our moniker, Mercury. Our services are dedicated to deploying your entire system tailored to your specific needs across multiple mission domains, including Operational Support, Training, Forensic Analysis, Testing & Evaluation, Cybersecurity, and Artificial Intelligence (AI).
The technical blueprint below illustrates the LiquidMetal™ Framework process flow: from data ingestion, through ETL (Extract, Transform, Load), to Analysis, Modeling, and Visualization.
Paramount to the LiquidMetal™ Framework is its inherent flexibility and capacity to evolve with your organization and be extended to where needed as your strategic imperatives evolve, all from ONE solution.
Liquidmetal™ Framework
Multi-Domain System-of-Systems Data Collection & Analysis Solution


OPS SUPPORT
LiquidMetal™ supports Operations comprehensively, from planning through post-mission analysis, by enabling data collection, analysis, and visualization. Its post-mission analysis can reveal environmental patterns and trends, which helps in strategizing subsequent missions. The framework's capability to playback mission data, including audio and screen captures, is essential for mission debriefs, providing valuable feedback to personnel on their performance and conduct.
TRAINING
Systems in the field, coupled with training, ensure readiness. Forensic systems aid by offering instant audio and video replay of operator interactions for training review. This feedback is accessible on secure systems and can inform additional training or TTP refinement.
LM-CAPTURE Solutions
The LiquidMetal™ Framework is supported by a suite of LiquidMetal™ CAPTURE solutions. "CAPTURE" signifies a systematic approach to Collect, Analyze, Present to Understand Real-world Events. These LM-CAPTURE solutions offer versatility and can be customized and scaled for a range of scenarios, from Mounted, to Full Mobile, to full-scale Operations Center deployments.

CAPTURE—Mounted
Scalable Case or Rack Mounted
Audio Collection
- Digital *.au/wav/mpg
- Scalable for Mobile or smaller Ops Centers
- Any source (Floor/radio/Intercom/etc.)
- On Demand Replay
- Non-Proprietary Formats
Video Collection
- Digital *.au/wav/mpg
- Scalable for Large Ops Centers
- Any source (HDMI/DP/etc.)
- On Demand Replay
- Non-Proprietary Formats
Data Collection
- Passive 24/7 Data Collection
- Non-Proprietary (PCAP, etc.)
- Stream Ready for Cyber Awarenes
Visual Systems Fault Monitoring

CAPTURE—Full Mobile
Small Airborne or Vehicle Systems
Audio Collection
- Digital *.au/wav/mpg (2-4 Channels)
- Low SWAP Profile
- Any source (Floor/radio/Intercom/etc.)
- On Demand Replay
- Non-Proprietary Formats
Video Collection
- Digital *.au/wav/mpg
- 2 Channels
- Any source (HDMI/DP/etc.)
- On Demand Replay
Data Collection
- Passive 24/7 Data Collection
Visual Systems Fault Monitoring
Analysis Support Available
Systems Support Available

CAPTURE—Operations Center
Scalable Ops Center Install
Audio Collection
- Digital *.au/wav/mpg
- Scalable for Large Ops Centers
- Any source (Floor/radio/Intercom/etc…)
- On Demand Replay
Video Collection
- Digital *.au/wav/mpg
- Scalable for Large Ops Centers
- Any source (HDMI/DP/etc…)
- On Demand Replay
Data Collection
- Passive 24/7 Data Collection
- Non-Proprietary (PCAP, etc.)
Visual Systems Fault Monitoring
Analysis Support Available
Systems Support Available
LM-CAPTURE CONCEPTUAL OVERVIEW

Your mission is fast paced with multiple data, audio and video streams being presented to Operators simultaneously. For test and training analysis of forensics, these streams must be collected to ensure proper reporting - at the operator position where the operator is, not a server room where questions can be asked about actual Operator data receipt.
Each Operator Workstation has differing mission needs for audio and video – CAPTURE “TAPS” and prepares all sources for collection and time tagging.