Larus Foresight combines multi-source data fusion, predictive analysis, scenario simulation and optimization for operational planning, maritime awareness and all-domain decisions. Larus describes Canadian Army and RCN work and ongoing integrations with industry partners. ScenarioGPT remains a separately funded development and integration effort, rather than proof that every Foresight configuration includes a production-ready simulation assistant.
Technical detail
Core features
Automated data ingestion, alignment and multi-source fusion
Track, trajectory, behaviour and anomaly analysis
Course-of-action simulation and multi-asset optimization with human-machine teaming
Published DIS/HLA support for simulation integration
Company-reported Army tactical-intelligence and RCN maritime-awareness programmes
Artificial intelligence
Machine learning
Data fusion
C4ISR
Use & integration
Recorded applications
Defence and public-safety situational awareness
Air, land, and maritime decision support
C4ISR surveillance-system augmentation
These describe the reviewed application scope, not confirmed deployments, released requirements or procurement eligibility.
Evidence of maturity
Commercially presented platform with company-reported defence programmes. NRC-funded SGPT commercialization and partner integrations remain distinct development activities.
Commercial availability
Foresight solutions and Larus Labs engagements are available by enquiry; establish the delivered configuration, simulator interfaces and acceptance evidence for the intended mission.
Integration and verification
Readiness
A technology readiness level is not established by the reviewed public sources.
Larus' public multi-sensor fusion and real-time anomaly-recognition products are a plausible analyst-derived fit for persistent patrol and monitoring decision-support workflows.
AI-enabled multi-sensor decision support may help teams working on AI-enabled SIGINT and cyber-threat analysis by contributing to detection and situational awareness, cyber and digital operations, and protection and survivability.
AI-enabled multi-sensor decision support may help teams working on Major-event and critical-infrastructure cyber defence by contributing to detection and situational awareness, cyber and digital operations, and protection and survivability.
AI-enabled multi-sensor decision support may help teams working on Enhancing the combat effectiveness of large land formations by contributing to land operations and protection and survivability.
AI-enabled multi-sensor decision support may help teams working on Sovereign defence capability areas by contributing to detection and situational awareness, cyber and digital operations, and aerospace operations.
This is a reviewed public-source assessment. It is not procurement eligibility, endorsement, customer interest, or classified demand.
Original sources 9 linked records
These records support this capability and its published Mission area and Defence need connections. A source count is not a count of independent confirmations.
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · defence applications
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · technology readiness level
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · summary
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · capability type
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · technical tags
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · technicaldomainslugs
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · technicaldomainslugs
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · name
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · defence applications
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · technical tags
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · maturity
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · technical tags
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · technical tags
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · commercial availability
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Capability · defence applications
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Mission area · Autonomous Patrol and Monitoring
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Mission area · Autonomous Patrol and Monitoring
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Mission area · Autonomous Patrol and Monitoring
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Supports: Mission area · Autonomous Patrol and Monitoring
Larus Foresight combines real-time data, predictive analytics and scenario simulation for operational planning, maritime situational awareness and joint all-domain decisions. The company names Canadian Army and Royal Canadian Navy use; public performance and acceptance scope are not specified.
Larus describes Foresight data ingestion and fusion, track and behaviour analysis, anomaly detection, scenario generation, course-of-action simulation, multi-asset allocation and multi-objective optimization. Its capabilities page lists DIS and HLA support and human-machine teaming.
Supports: Capability · core features
Larus describes Foresight data ingestion and fusion, track and behaviour analysis, anomaly detection, scenario generation, course-of-action simulation, multi-asset allocation and multi-objective optimization. Its capabilities page lists DIS and HLA support and human-machine teaming.
Larus Labs describes ScenarioGPT as a fine-tuned language-model interface for configuring and managing simulation scenarios through chat. It remains in Labs and is on a path toward integration into Foresight; the site does not establish every listed function as delivered in every customer configuration.
NRC agreement 1043920 provides CAD 800,000 to Ottawa-based Larus Technologies Corporation for Bringing Scale to SGPT from May 1, 2026 to April 30, 2027, targeting reliability, performance and integration of an AI simulation assistant for commercialization.
Larus reported July 6, 2026 an $8.3 million DND/Canadian Army IDEaS initiative and a $2.5 million RCN programme, plus work with Babcock iSupport360, GDMS DIGITALspine and CAE simulation. These are company-reported programme and integration activities, not independent acceptance evidence.
Public sources cited · Facts and assessments kept separate · Human review
Larus describes Foresight data ingestion and fusion, track and behaviour analysis, anomaly detection, scenario generation, course-of-action simulation, multi-asset allocation and multi-objective optimization. Its capabilities page lists DIS and HLA support and human-machine teaming.
Supports: Capability · core features
Larus describes Foresight data ingestion and fusion, track and behaviour analysis, anomaly detection, scenario generation, course-of-action simulation, multi-asset allocation and multi-objective optimization. Its capabilities page lists DIS and HLA support and human-machine teaming.
Supports: Capability · core features
Larus describes Foresight data ingestion and fusion, track and behaviour analysis, anomaly detection, scenario generation, course-of-action simulation, multi-asset allocation and multi-objective optimization. Its capabilities page lists DIS and HLA support and human-machine teaming.
Supports: Capability · core features
Larus reported July 6, 2026 an $8.3 million DND/Canadian Army IDEaS initiative and a $2.5 million RCN programme, plus work with Babcock iSupport360, GDMS DIGITALspine and CAE simulation. These are company-reported programme and integration activities, not independent acceptance evidence.
Supports: Capability · maturity
Larus reported July 6, 2026 an $8.3 million DND/Canadian Army IDEaS initiative and a $2.5 million RCN programme, plus work with Babcock iSupport360, GDMS DIGITALspine and CAE simulation. These are company-reported programme and integration activities, not independent acceptance evidence.
The product page describes AI and machine-learning fusion of active and passive sensors, trackers, reports, weather, and other data for recognition and prediction.
Supports: Defence need · AI-enabled SIGINT and cyber-threat analysis
The product page describes AI and machine-learning fusion of active and passive sensors, trackers, reports, weather, and other data for recognition and prediction.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
The product page describes AI and machine-learning fusion of active and passive sensors, trackers, reports, weather, and other data for recognition and prediction.
Supports: Defence need · Enhancing the combat effectiveness of large land formations
The product page describes AI and machine-learning fusion of active and passive sensors, trackers, reports, weather, and other data for recognition and prediction.
Supports: Defence need · Sovereign defence capability areas
The product page describes AI and machine-learning fusion of active and passive sensors, trackers, reports, weather, and other data for recognition and prediction.
Supports: Defence need · AI-enabled SIGINT and cyber-threat analysis
Reviewer synthesis of the public end state in the cited material: Analysts should have explainable, secure and human-directed AI support that improves detection, prioritization and response without treating derived model outputs as authoritative intelligence by themselves.
Supports: Defence need · AI-enabled SIGINT and cyber-threat analysis
CSE and federal partners face high-volume, complex foreign-intelligence and cyber-threat data that requires faster analysis, reliable triage and decision support while preserving legal, operational and trust constraints.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
High-profile events and their host organizations create concentrated cyber-risk and require coordinated planning, monitoring, incident response, exercises and secure information sharing across federal, provincial, municipal and private partners.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Reviewer synthesis of the public end state in the cited material: Event partners should be able to prepare for, detect and respond to cyber incidents through integrated threat intelligence, technical support, exercises and operational coordination before and during major events.
Supports: Defence need · Sovereign defence capability areas
Canada needs secure strategic autonomy and reliable access to capabilities that are critical to defending its sovereignty and meeting allied commitments, while reducing exposure to foreign supply-chain and intellectual-property dependencies.
Supports: Defence need · Sovereign defence capability areas
Reviewer synthesis of the public end state: Canada can build, sustain or control priority aerospace, ammunition, digital, in-service support, sensor, space, specialized manufacturing, training and uncrewed capabilities through domestic strength, trusted partnerships and sovereign access.
