Patented reasoning and fusion infrastructure for turning fragmented mission data into coherent intelligence across complex operational environments.
Torch develops and deploys Government-owned Reasoning Infrastructure for the most complex decision environments.
In 2018, we deployed one of the first classified enterprise AI capabilities in the Department of War. Today, Torch supports operations globally and was entrusted to develop a revolutionary learning environment for the military.
Since inception, we have advanced how knowledge is understood and applied in complex environments by combining semantic representation, graph fusion, provenance, confidence, and model orchestration across fragmented mission data. This foundation, data understanding, fusion, and reasoning infrastructure, is how Torch helps turn complexity into mission impact for the United States.
Purpose-built AI reasoning infrastructure for multi-INT fusion, predictive analysis, targeting support, and Army institutional learning.
Synchronize sensors, trusted tracks, and mission systems with AI infrastructure built for air and space operations.
UNACORN brings AI reasoning infrastructure to distributed maritime operations, autonomy, long-range fires, and expeditionary readiness.
Connect service-level systems, combatant command workflows, and all-domain operations through AI reasoning infrastructure.
Operate enterprise systems, financial data, shared services, and mission environments on coherent AI-ready foundation.
Turn multi-source reporting, provenance, and graph-based analysis into defensible intelligence with AI reasoning infrastructure.
Army operations no longer struggle to collect data. The challenge is making it usable across systems,domains, and time.Information does not arrive clean or aligned. The burden of making sense of it still falls on people.This is a reasoning problem.
CONTROL LAYER
Torch provides a government-owned reasoninginfrastructure that operates across existing Armysystems.It does not replace systems of record. It enables them tofunction together, preserving context and supportingdecisions under real conditions.
STACK
ORCUS ingests and moves data across systems at speed and scale.
NEXUS transforms that data into high-fidelity semantic representations, capturing meaning, time,and location.
HALO applies graph-based reasoning to identify relationships and support decision-makingacross complex environments.
Together, they allow systems to operate on coherent data instead of fragmented inputs.
DEPLOYMENT
Deployed across DoD environments with ATO at IL4, IL5, IL6, and IL7.
Operates across enterprise and edge environments without requiring system replacement.
Enables Army formations to operate on shared understanding, increase decision tempo, and reduce theburden on analysts.
This is not another system.
It is the infrastructure that allows existing systems to work as intended.
Army operations no longer struggle to collect data. The challenge is making it usable across systems,domains, and time.Information does not arrive clean or aligned. The burden of making sense of it still falls on people.This is a reasoning problem.
CONTROL LAYER
Torch provides a government-owned reasoninginfrastructure that operates across existing Armysystems.It does not replace systems of record. It enables them tofunction together, preserving context and supportingdecisions under real conditions.
STACK
ORCUS ingests and moves data across systems at speed and scale.
NEXUS transforms that data into high-fidelity semantic representations, capturing meaning, time,and location.
HALO applies graph-based reasoning to identify relationships and support decision-makingacross complex environments.
Together, they allow systems to operate on coherent data instead of fragmented inputs.
DEPLOYMENT
Deployed across DoD environments with ATO at IL4, IL5, IL6, and IL7.
Operates across enterprise and edge environments without requiring system replacement.
Enables Army formations to operate on shared understanding, increase decision tempo, and reduce theburden on analysts.
This is not another system.
It is the infrastructure that allows existing systems to work as intended.
Army operations no longer struggle to collect data. The challenge is making it usable across systems,domains, and time.Information does not arrive clean or aligned. The burden of making sense of it still falls on people.This is a reasoning problem.
CONTROL LAYER
Torch provides a government-owned reasoninginfrastructure that operates across existing Armysystems.It does not replace systems of record. It enables them tofunction together, preserving context and supportingdecisions under real conditions.
STACK
ORCUS ingests and moves data across systems at speed and scale.
NEXUS transforms that data into high-fidelity semantic representations, capturing meaning, time,and location.
HALO applies graph-based reasoning to identify relationships and support decision-makingacross complex environments.
Together, they allow systems to operate on coherent data instead of fragmented inputs.
DEPLOYMENT
Deployed across DoD environments with ATO at IL4, IL5, IL6, and IL7.
Operates across enterprise and edge environments without requiring system replacement.
Enables Army formations to operate on shared understanding, increase decision tempo, and reduce theburden on analysts.
This is not another system.
It is the infrastructure that allows existing systems to work as intended.
Army operations no longer struggle to collect data. The challenge is making it usable across systems,domains, and time.Information does not arrive clean or aligned. The burden of making sense of it still falls on people.This is a reasoning problem.
CONTROL LAYER
Torch provides a government-owned reasoninginfrastructure that operates across existing Armysystems.It does not replace systems of record. It enables them tofunction together, preserving context and supportingdecisions under real conditions.
STACK
ORCUS ingests and moves data across systems at speed and scale.
NEXUS transforms that data into high-fidelity semantic representations, capturing meaning, time,and location.
HALO applies graph-based reasoning to identify relationships and support decision-makingacross complex environments.
Together, they allow systems to operate on coherent data instead of fragmented inputs.
DEPLOYMENT
Deployed across DoD environments with ATO at IL4, IL5, IL6, and IL7.
Operates across enterprise and edge environments without requiring system replacement.
Enables Army formations to operate on shared understanding, increase decision tempo, and reduce theburden on analysts.
This is not another system.
It is the infrastructure that allows existing systems to work as intended.
Army operations no longer struggle to collect data. The challenge is making it usable across systems,domains, and time.Information does not arrive clean or aligned. The burden of making sense of it still falls on people.This is a reasoning problem.
CONTROL LAYER
Torch provides a government-owned reasoninginfrastructure that operates across existing Armysystems.It does not replace systems of record. It enables them tofunction together, preserving context and supportingdecisions under real conditions.
STACK
ORCUS ingests and moves data across systems at speed and scale.
NEXUS transforms that data into high-fidelity semantic representations, capturing meaning, time,and location.
HALO applies graph-based reasoning to identify relationships and support decision-makingacross complex environments.
Together, they allow systems to operate on coherent data instead of fragmented inputs.
DEPLOYMENT
Deployed across DoD environments with ATO at IL4, IL5, IL6, and IL7.
Operates across enterprise and edge environments without requiring system replacement.
Enables Army formations to operate on shared understanding, increase decision tempo, and reduce theburden on analysts.
This is not another system.
It is the infrastructure that allows existing systems to work as intended.
.svg){kind=icon}