About us
DarkSigma was built for a single purpose: to turn wasted American innovation into enduring industrial and strategic power. Each year, billions in research and venture potential disappear into archives, failed startups, and abandoned prototypes — the raw material of future industries lost to inefficiency. We’re not building another company. We’re constructing the intelligence infrastructure that discovers what others overlook, reconstructs what still matters, and redeploys it where it creates the most impact. This is how a nation safeguards its edge — by transforming forgotten innovation into compounding advantage.
$150B+
in U.S. research and venture funding fails to transition beyond prototype each year.
$150B+
in U.S. research and venture funding fails to transition beyond prototype each year.
$150B+
in U.S. research and venture funding fails to transition beyond prototype each year.
90%
of federally backed technologies and ventures never reach commercial or defense deployment.
90%
of federally backed technologies and ventures never reach commercial or defense deployment.
90%
of federally backed technologies and ventures never reach commercial or defense deployment.
DarkSigma exists to change these numbers.
Meet our team
Meet our team
Meet our team
Leadership
Leadership
Leadership
Victor Joaquin
Founder
Victor Joaquin
Founder
Victor Joaquin
Founder
More Team Members Coming Soon
More Team Members Coming Soon
More Team Members Coming Soon
Our Process
Our Process
Our Process
01
Signal Ingestion and Mapping
SigmaNet continuously ingests and normalizes data from federal R&D programs, patents, venture pipelines, and hiring and funding trends. Using entity resolution and schema normalization, it builds the Innovation Graph—a dynamic model of America’s technological and venture landscape. This sovereign infrastructure gives DarkSigma early visibility into undervalued assets and emerging clusters, surfacing opportunities before capital or competitors detect them.
01
Signal Ingestion and Mapping
SigmaNet continuously ingests and normalizes data from federal R&D programs, patents, venture pipelines, and hiring and funding trends. Using entity resolution and schema normalization, it builds the Innovation Graph—a dynamic model of America’s technological and venture landscape. This sovereign infrastructure gives DarkSigma early visibility into undervalued assets and emerging clusters, surfacing opportunities before capital or competitors detect them.
01
Signal Ingestion and Mapping
SigmaNet continuously ingests and normalizes data from federal R&D programs, patents, venture pipelines, and hiring and funding trends. Using entity resolution and schema normalization, it builds the Innovation Graph—a dynamic model of America’s technological and venture landscape. This sovereign infrastructure gives DarkSigma early visibility into undervalued assets and emerging clusters, surfacing opportunities before capital or competitors detect them.
02
Scoring and Prioritization
Each discovered asset or venture is evaluated through the A-Score framework, which quantifies acquirability, reconstruction ROI, and timing. The model learns from real commercialization outcomes across defense and private industry, ranking opportunities by both return velocity and strategic fit. The result is a continuously updated map of where innovation, capital efficiency, and national advantage intersect.
02
Scoring and Prioritization
Each discovered asset or venture is evaluated through the A-Score framework, which quantifies acquirability, reconstruction ROI, and timing. The model learns from real commercialization outcomes across defense and private industry, ranking opportunities by both return velocity and strategic fit. The result is a continuously updated map of where innovation, capital efficiency, and national advantage intersect.
02
Scoring and Prioritization
Each discovered asset or venture is evaluated through the A-Score framework, which quantifies acquirability, reconstruction ROI, and timing. The model learns from real commercialization outcomes across defense and private industry, ranking opportunities by both return velocity and strategic fit. The result is a continuously updated map of where innovation, capital efficiency, and national advantage intersect.
03
Reconstruction and Acceleration
Validated opportunities enter the reconstruction layer, where SigmaNet and human operators convert dormant research and failed ventures into fundable, acquisition-ready companies. Standardized commercialization kits rebuild brand, optics, and proof-of-concept while maintaining full IP and regulatory compliance. This process compresses years of venture formation into months, producing assets that are immediately deployable or acquirable.
03
Reconstruction and Acceleration
Validated opportunities enter the reconstruction layer, where SigmaNet and human operators convert dormant research and failed ventures into fundable, acquisition-ready companies. Standardized commercialization kits rebuild brand, optics, and proof-of-concept while maintaining full IP and regulatory compliance. This process compresses years of venture formation into months, producing assets that are immediately deployable or acquirable.
03
Reconstruction and Acceleration
Validated opportunities enter the reconstruction layer, where SigmaNet and human operators convert dormant research and failed ventures into fundable, acquisition-ready companies. Standardized commercialization kits rebuild brand, optics, and proof-of-concept while maintaining full IP and regulatory compliance. This process compresses years of venture formation into months, producing assets that are immediately deployable or acquirable.
04
Deployment and Feedback
Reconstructed ventures are matched with defense, industrial, and financial partners through controlled signaling and precision deal orchestration. SigmaNet tracks velocity, valuation, and ROI outcomes, feeding real-world performance back into the model. Every transaction improves predictive calibration, compounding both investor returns and U.S. technological advantage—creating a self-reinforcing commercialization intelligence engine.
04
Deployment and Feedback
Reconstructed ventures are matched with defense, industrial, and financial partners through controlled signaling and precision deal orchestration. SigmaNet tracks velocity, valuation, and ROI outcomes, feeding real-world performance back into the model. Every transaction improves predictive calibration, compounding both investor returns and U.S. technological advantage—creating a self-reinforcing commercialization intelligence engine.
04
Deployment and Feedback
Reconstructed ventures are matched with defense, industrial, and financial partners through controlled signaling and precision deal orchestration. SigmaNet tracks velocity, valuation, and ROI outcomes, feeding real-world performance back into the model. Every transaction improves predictive calibration, compounding both investor returns and U.S. technological advantage—creating a self-reinforcing commercialization intelligence engine.
